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Article

An Instrumented Printed Insert for Continuous Monitoring of Distal Limb Motion in Suction and Elevated Vacuum Sockets

by
Kendrick A. Coburn
1,
Nicholas S. DeGrasse
1,
Joseph C. Mertens
1,
Katheryn J. Allyn
1,
Nicholas K. McCarthy
1,
Daniel Ballesteros
1,
Joseph L. Garbini
2 and
Joan E. Sanders
1,*
1
Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
2
Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Prosthesis 2022, 4(4), 710-729; https://doi.org/10.3390/prosthesis4040056
Submission received: 2 November 2022 / Revised: 22 November 2022 / Accepted: 26 November 2022 / Published: 2 December 2022
(This article belongs to the Special Issue 3D Printing Strategies for Limb Prostheses)

Abstract

:
A suction or elevated vacuum prosthetic socket that loses vacuum pressure may cause excessive limb motion, putting the user at risk of skin irritation, gait instability and injury. The purpose of this research was to develop a method to monitor distal limb motion and then test a small group of participants wearing suction sockets to identify variables that strongly influenced motion. A thin plastic insert holding two inductive sensor antennae was designed and printed. Inserts were placed in suction sockets made for four participants who regularly used suction or elevated vacuum suspension. Participants wore a liner with a trace amount of iron powder in the elastomer that served as a distance target for the sensors. In-lab testing demonstrated that the sensed distance increased when participants added socks and decreased when they removed socks, demonstrating proper sensor performance. Results from take-home testing (3–5 days) suggest that research investigation into cyclic limb motion for sock presence v. absence should be pursued, as should the influence of bodily position between bouts of walking. These variables may have an important influence on suspension. Long-term monitoring may provide clinical insight to improve fit and to enhance suction and elevated vacuum technology.

1. Introduction

Socket fit is the most important issue affecting the capability of prosthetic limbs to meet users’ needs [1,2]. To accomplish a proper fit, suction and elevated vacuum sockets provide strong mechanical coupling between the residual limb and prosthesis. The vacuum pressure they apply is thought to pull limb soft tissues towards the socket wall, reducing limb-socket motion [3]. Several studies have demonstrated that increasing vacuum pressure reduces limb-socket motion. Gershutz et al. in an in-lab structured protocol, demonstrated that the range of vacuum pressure was linearly related to the range of displacement during a step [4]. Youngblood et al. found that introducing a vacuum pressure of 12 inHg eliminated 81% to 93% of the limb motion that occurred in a suction socket [5]. Klute et al. [6] used motion analysis to demonstrate that limb cyclic motion was less for elevated vacuum compared with locking pin suspension. Board et al. [7] and Darter et al. [8] used radiological imaging methods to demonstrate that bone motion was reduced using elevated vacuum compared with passive suction. Provided vacuum pressure is maintained, vacuum sockets may enhance gait stability and reduce skin injury compared with other types of suspension [9,10,11,12,13].
Though they offer benefits, elevated vacuum sockets and to a lesser extent suction sockets can be challenging to use because of maintenance and cost issues [6,14]. In a survey of 155 prosthetic professionals, nearly 90% thought the use of elevated vacuum needed careful evaluation and maintenance [14]. Klute et al. [6] found that elevated vacuum prostheses required more check sockets and time to adequately fit compared to prostheses with pin suspension. Small leaks in the sealing sleeve, socket wall, vacuum pump, or pump-to-socket connection may cause a reduction or loss of vacuum pressure, leading to an increase in limb-socket motion and an elevated risk of injury. Users might not sense this change until residual limb skin breakdown occurs. A period of no prosthesis use is required until the damaged tissue heals.
Data collected using a sensing system that continuously monitors limb-socket motion during long study protocols or at-home use may provide information to improve performance of suction and elevated vacuum sockets. Researchers may be able to identify quantitative metrics indicative of a deterioration in suspension early before limb injury occurs. This data collection platform may help the prosthetics industry test new product ideas.
The purpose of this research was to determine in a small group of participants if a thin instrumented insert that monitored distal limb motion in suction and elevated vacuum sockets produced meaningful data during in-lab testing and take-home use, and if it warranted further clinical data collection on a larger group of participants. We were particularly interested in the range of cyclic vertical motion during walking, since increased cyclic motion is considered a precursor to a deterioration of socket fit.

2. Materials and Methods

An inductive sensing modality was used to monitor residual limb motion in the socket. The technique is briefly described below and in more detail in Appendix A. Antenna coils printed on a flex-circuit (polyimide) and placed in the socket are powered using an inductive sensing chip. A trace amount of iron powder embedded in the participant’s liner serves as the antenna’s target [15]. When the antenna and circuitry are powered, the presence of the magnetically permeable iron local to the antenna reinforces the inductor and lowered the sensor’s oscillation frequency in a distance-dependent manner. The change in frequency measured by the inductive sensing chip is a sensitive measure of distance between the antenna and target.

2.1. Insert Design and Assembly

A custom 3D printed plastic insert was designed to hold two antennae (Figure 1a). An insert was used rather than adhering the antennae directly to the inside of the socket because in prior research we found that the antennae were damaged within 1–2 weeks from the mechanical stress applied by the residual limb [16]. The insert matched the shape of the distal portion of the socket. Similar to the full socket inserts we designed in previous work [17], recesses and channels were cut out of the external surface. The recesses and channels held the custom inductive sensor antennae and leadwires. The insert was designed as thin as possible because the long-term objective was a technology to be placed into an existing socket with minimal distortion to socket shape or volume. This design strategy would allow clinical evaluation of an existing socket suspected of vacuum loss. In the present study, however, to ensure that the shape of the socket was not a variable in the study, we fabricated research prostheses where we adjusted the socket shape to accommodate the insert thickness. The insert was affixed to the inside of the socket using double-sided tape, and the cabling was routed through a small hole in the socket wall that was sealed to prevent leaks.
To design the insert, we used a coordinate measurement machine (FaroArm Platinum, FARO Technologies, Lake Mary, FL, USA) (accuracy setting 0.02 mm) to digitize the shape of the participant’s regular socket. The socket brim was also digitized so that the anterior and posterior directions were easily identified when placing the insert into the socket (Figure 1b). A surface was made from the point cloud data using a computer-aided design software package (Geomagic, Design X, 3D Systems, Research Triangle Park, NC, USA). This surface was projected radially outward (perpendicular to the surface) 1.2 to 1.8 mm to create a solid model of uniform thickness. The amount depended on the desired insert thickness. Different thickness and materials were explored (Appendix B, Table A1) to achieve a mechanically durable insert that did not compress the sensors during use.
Parametric modeling software (Inventor, Autodesk, San Francisco, CA, USA) was used to create recesses and channels in the external surface of the insert to hold two custom-designed flexible coil antennae (32.0 mm diameter, 0.15 mm thickness) (Figure 1a). Material from the center of the antenna was removed to enhance the flexibility so that the insert well conformed to the socket shape (Figure 2a). The flex-circuit antenna was designed and fabricated to include a 16 mm × 10 mm “tail” with two pairs of exposed solder tabs near the ends of the trace. The solder tabs were used to hold surface mount electronics (0.22 μF capacitor; 10 k Ω thermistor) and connected the leadwires to the inductive sensing chip. Each antenna was positioned within a 0.8 mm deep spherical ring-shaped recess in the insert and held in place along the inside edge using hot melt adhesive (3779, 3M, St. Paul, MN, USA). The center island of the recess, which projected through the center of the antenna, provided structural support to avoid mechanical pressure on the antenna. Recesses 0.8 mm deep were also made for the antenna tail, and a through hole was made in the insert at the location the two tails met, which was right over a 9.0 mm diameter hole (described below) where the leadwires exited through the socket wall. This design created sufficient space to allow 1.0 mm diameter leadwire to be used to connect from the solder tabs through the socket wall to a signal conditioner/data logger fastened to the pylon of the prosthesis. A data logger from our previous work was used [16]. A thin piece of ferrite (Würth Elektronik, Niedernhall, Hohenlohe) (0.33 mm thickness) was adhered over the outside of the antenna to reduce radio frequency interference and to provide electromagnetic interference shielding from the carbon fiber socket. A series of slits were cut in the ferrite to improve flexibility (Figure 2b). A bottom view of a fabricated insert ready for attachment of two antennae and leadwires is shown in Figure 2c.
Three insert materials were considered—Veroclear (Stratsys, Golden Valley, MN, USA); Nylon PA12 40% glass filled; and Somos PerFORM (DSM Functional Materials, Elgin, IL, USA). Two thicknesses of the PerFORM were tested—1.8 mm and 1.2 mm. Mechanical property information provided by the manufacturer and the thickness of each insert fabricated in this research are listed in Appendix B, Table A1 and Table A2.
Additional steps were taken to prepare the insert and socket. Hot melt was placed over the surface mount capacitor and thermistor. A 7.0 mm hole was drilled in the center distal end of the insert and socket to allow air to pass to the suction valve immediately beneath the socket. Hot melt was placed to cover the connection between the leadwires and the antenna tail. A 9.0 mm diameter hole (for the leadwires) was drilled through the socket wall underneath the cutout (Figure 3a–c).

2.2. Installation in the Prosthetic Socket

Sockets were fabricated using materials commonly used in clinical practice. The socket includes 4 layers of resin/carbon fiber and 2 layers of Nyglass.
In preparation for installation, the external surface of the insert that was not covered by antennae or leadwires was covered with double-sided adhesive tape (SpeedTape, FastCap, Ferndale, WA, USA) (0.05 mm thickness). The insert was carefully positioned inside the socket while pulling the leadwires through the 9.0 mm hole. Marks previously inked on the anterior and posterior aspects of the insert and socket during test assembly facilitated alignment. An abrasion-resistant expandable sleeve was used to protect the bundle of leadwires exiting the socket. The 7.0 mm and 9.0 mm holes were sealed with epoxy (PLU Series Composite 1, FabTech Systems, Everett, WA, USA). A vacuum bag was placed over the socket to test for leaks. If the socket held at least 25 inHg for at least a 30 s duration, the seal was considered acceptable.

2.3. Calibration

Calibration was performed using the liner to be worn by the participant. For this study, liners for research purposes with a trace amount of iron powder embedded in the elastomer beneath its surface were purchased (Alpha Classic, WillowWood, Mt. Sterling, OH, USA). We used a procedure similar to that in our prior work calibrating sensors in pin-lock sockets [18]. First, the anterior and posterior surfaces of the liner over the sensor locations were calibrated in a benchtop test jig that allowed an antenna to be moved at incremental distances perpendicular to the liner. This procedure generated the shape of the calibration curve. To establish the zero reference position (liner flush with the insert), the liner was placed in the participant’s research socket while vacuum pressure was applied through the 7.0 mm hole in the distal end of the socket. The setup shown in Figure 4a–d was used. A silicone balloon in the shape of a residual limb was placed inside a sock, and that assembly was placed inside the liner. A gaitor sleeve was slid into position, and the proximal end of the liner was folded over it. A gaitor was used because during preliminary take-home tests, we found that the sealing sleeve was prone to mechanical damage from the socket brim. The gaitor protected the sealing sleeve. The sealing sleeve was pulled into place to seal both the proximal and distal ends of the socket. The balloon was held at a pressure of approximately 3.4 kPa, and the sensor data acquisition system was started. A 3.4 kPa pressure was used because this was sufficiently high to push the liner against the socket wall but not so high that the balloon was forced out the top of the socket. Five vacuum pressures were applied for 45 s each (5, 10, 15, 20, 25 inHg). Vacuum pressure was returned to 0 inHg for 15 s after each setting. Sensor data at the 10 inHg setting was used as the reference (0 distance) for calibration because it best achieved the objective of the liner flush with the insert without distortion of the liner shape.

2.4. Participants

Participants were included in this study if they had a transtibial amputation at least 18 months prior, were at a Medicare functional classification level (K-level) of 2 or higher (community ambulator who has the ability to transverse most environmental barriers such as curbs, stairs, or uneven surfaces) [19], and regularly used a prosthesis with suction or elevated vacuum suspension. Participants were excluded if they were currently experiencing skin breakdown, used a walking aide (e.g., cane), or were incapable of walking for 2 min continuously. University of Washington institutional review board approval (IRB #00006874) was obtained before any study procedures were initiated, and written informed consent was obtained before a participant started in the study.

2.5. Study Protocol

The participant visited the lab three times. At the first visit, the research prosthetist conducted a clinical evaluation to determine if inclusion criteria were met. A full inspection of the person’s residual limb was conducted. Demographic information, etiology, medical history, presence of co-morbidities, regularly conducted activities, smoking status, and the design of the currently used prosthesis were recorded while the participant’s socket was scanned with the high-resolution coordinate measurement machine. Body mass index (BMI) was calculated using the formula for people with transtibial limb loss [20].
A carbon-fiber/resin socket duplicate in shape to the participant’s regular socket was fabricated as described above and the instrumented insert installed. Care was taken to ensure that tight seals were achieved at the suction port and at the sensor cable exit from the socket. Participants wore the socket for several hours to ensure that the insert adhesive compressed to a consistent thickness, as learned in our prior research using socket inserts in clinical studies [17].
During the second visit, participants conducted an in-lab structured protocol wearing the research prosthesis. Participants donned the research socket, and the research prosthetist made any necessary adjustment to ensure a proper fit. This was the optimal sock thickness and was termed sock opt. Sensor data collection was initiated. Participants executed three activity cycles four times for a total of twelve activity cycles. Each cycle included: standing (10 s); walking on a treadmill (2 min); standing (10 s); and sitting (2 min). After the first three activity cycles (3 of the 12 cycles), participants doffed the research socket and increased their sock ply by adding a sock or changing a current sock to a thicker ply. Participants chose among 1, 2, 3, and 5 ply socks (1–2 ply: 95.5% Tertra-Channel polyester, 4.5% Lycra; 3 ply: 70% wool, 30% tetra-channel polyester; 5-ply: 60% wool, 40% Tertra-Channel polyester, Royal Knit, Inc., Lee’s Summit, MO, USA). They conducted three activity cycles at this sock ply. Participants sat and doffed their prosthesis, increased their sock play again, and conducted three additional activity cycles at this sock ply. Participants sat and doffed, returned to their starting configuration (sock opt), which was a low ply sock or no sock, and conducted three additional activity cycles. After the twelve activity cycles were completed, participants sat in a chair and the researchers prepared them for the take-home part of the study. Participants were asked to wear the research prosthesis at home for at least 3 d, conducting their daily routine and monitoring their comfort via notes or verbal correspondence with the research team. They returned to the lab for their third visit after approximately 1 week to return the research prosthesis. Participants were encouraged to provide comments on their experience during take-home use wearing the research prosthesis.
Collected data were thermally compensated and converted to units of distance (mm) using the calibration data, implementing methods similar to those used previously [16] and summarized in Appendix C. For the in-lab structured protocol data, only the walking sections were analyzed. The maxima (which occurred during swing phase) and minima (which occurred during stance phase) for the last ten steps in each cycle were extracted and medians calculated. Anterior and posterior sensor results were calculated separately. The last ten steps were used because in some cycles we observed a change in sensed distance during the initial steps, in part because the vacuum pressure had yet to stabilize.
Take-home data were processed to identify the start and end of prosthesis use each day and to classify user activity as walking, weight shift (standing or sitting), stationary (standing or sitting), or doffed (partial or full). Walks were further categorized into either bouts (≥5 steps) or low commotion (2–4 steps). Computational processing techniques summarized in Appendix D were implemented. The percentage time for each prosthesis use across all prosthesis day durations was calculated, and the number of steps per day was computed. The median peaks, valleys, and amplitudes (range) were calculated for all steps within each hour of wear and plotted. To visually investigate trends in the data over time, we plotted the data for each step and a 21-point moving average. Histograms were generated to characterize the distribution of the peaks, valleys, and amplitudes in the steps for each day of use.

3. Results

3.1. Participants

Four male participants took part in this study. Two participants (1 and 2) regularly used a suction socket, and the other two participants (3 and 4) regularly used an electronic elevated vacuum socket. Demographic information is summarized in Table 1, and a brief clinical description of each participant is provided in Appendix E.
The Veroclear material lacked sufficient structural integrity thus was not used in any of the instrumented inserts. Participant 1′s insert was made of the PA 12 material and was 1.8 mm thick (Appendix B, Table A2). The inserts for participants 2 and 3 were made of PerFORM and were 1.8 mm thick. Participant 4′s insert was also made of PerFORM but was 1.2 mm thick. All four inserts maintained their structural integrity for the duration of testing. We considered fabricating inserts thinner than 1.2 mm but were advised by the fabricator that the inserts would likely crack during use. We trimmed the edges of the inserts to ensure there was a smooth transition from insert to socket after one participant (participant 3) after his take-home test noted that he could feel the edge on his residual limb. Participants completed all aspects of the in-lab testing protocol except for participant 1 who did not complete cycles 9 to 12 because of a protocol execution error.

3.2. In-Lab Study

Participants 1 and 2 each wore a sock for the sock opt condition. Participants 3 and 4 did not wear any sock for the sock opt condition.
All participants moved further away from the socket when sock ply was increased and moved closer to the socket when sock ply was decreased (Figure 5). Using the medians from the last 10 steps for the 3rd cycle of each group, we calculated a sensed distance difference for an increase in sock ply (sock opt to sock 1, and sock 1 to sock 2) of 0.39 mm (range 0.01 to 1.46) for stance phase minima and 0.54 mm (0.19 to 1.26) for swing phase maxima. The last 10 steps were used because the data tended to show a decrease in the range of cyclic vertical motion over time (Supplement S1, Figure S1). For the decrease in sock ply executed after cycle 9 (sock 2 to sock opt), the median sensed distance difference was −0.79 mm (range −1.03 to −0.63) for stance phase minima and −1.32 mm (−1.99 to −0.98) for swing phase maxima. Trends in the data for the anterior sensor in the insert were similar to those for the posterior sensor (Figure 5 and Supplement S2, Figure S2). During cycles 9 to 12 (sock opt), the two participants who regularly used elevated vacuum (3 and 4) experienced a closer return to their baseline sock opt sensed distance (1st 3 cycles) than the suction user for whom the cycle 9 to 12 data were collected. Data were not available for the other suction user (participant 1).
Limb cyclic vertical motion (length of the bars in Figure 5) increased when sock ply was increased except for the posterior location for participant 2 for sock 1 to sock 2. The median cyclic vertical motion change for a sock ply increase was 0.19 mm (range −0.37 to 1.65). Cyclic vertical motion decreased when sock ply was decreased. The median cyclic vertical motion change was −0.50 mm (range −1.19 to −0.27).

3.3. Take-Home Study

Participants wore their research prosthesis for 3 to 5 days while they were away from the lab. Participant 1 reported that he did not use the research prosthesis at times of exercise or sitting at his desk for work but did for tasks such as grocery shopping and drumming practice. Participant 4, because of work constraints and challenges introduced by the added weight compared to his traditional prosthesis, wore the research prosthesis for only part of each day. Participant 3 reported that he felt the edge of the insert on his residual limb. Only participant 3 did not add a sock during take-home use (Table 2). A complete list of comments and researcher observations collected at the end of testing is provided in Supplement S3, Table S1. Participants 1, 2, and 3 took, on average, at least 1000 steps per day, while participants 4 averaged 553 steps per day (Supplement S4, Table S2).
Participants spent 4.1% to 7.5% of their prosthesis use time conducting walking bouts and low commotion, 3.8% to 18.5% weight shifting, 70.3% to 92.0% stationary, and 0.0% to 12.8% doffed (Table 3, upper panel). Participant 1 spent approximately 40% more time conducting low commotion (2–4 step bouts) than walking (≥5-step bouts), while the other participants spent approximately twice as much time conducting walking than low commotion (Table 3, bottom panel).
Plots of limb position each hour provide insight into suspension performance. Of the four participants, participant 3 demonstrated the most consistent result across days (Figure 6). His data showed a narrow range of motion amplitude (length of blue bars) and few outliers (yellow and red bars are close to blue bars). Most of his change in amplitude happened during the first hour of the day after donning. He did not temporarily doff on any day. His amplitude reduced over the course of the morning hours each day, approximately 0.3 to 0.4 mm. During the afternoon, he maintained a more consistent stance phase minimum (bottom of the blue bar) and swing phase maximum (top of the blue bar) than during the morning hours.
Participants 1, 2, and 4 experienced greater motion amplitude and variability than participant 3. Their amplitude ranged up to 4 mm for participants 1 and 4 and up to 15 mm for participant 2. For clarity, we did not include the upper and lower 10th percentile red and yellow bars for these participants (Supplement S5, Figure S3a–c). All of them experienced a gradual decrease in amplitude during some multiple-hour period during the day, but they lacked a gradual reduction from the start to end of the prosthesis day, unlike participant 3.
Participant 1, in general, experienced greater fluctuation in swing phase peaks than in stance phase valleys (Supplement S5, Figure S3a), indicating consistent limb depth into the socket during stance phase but less consistent pull-out during swing phase. His motion amplitude was less on day 4 than days 1, 2, and 3. Day 4 was the only day he was active before 3 pm. Participant 2 showed considerably higher variability in step-to-step swing phase peaks and stance phase valleys than the other participants. The high variability caused a low amplitude in his hourly data plots because the scale needed to be made wide to include all of the data (Supplement S5, Figure S3b). Participant 4 walked for less than 3 h/day using the research prosthesis (Supplement S5, Figure S3c). His amplitudes were comparable to those of participant 1.
To investigate if cyclic vertical motion was related to how the person was using the prosthesis, we plotted motion amplitude in an upper plot and prosthesis use category in a lower plot (Figure 7a,b). We overlaid a 21-point moving average (yellow dots) to visualize trends over time. In general participants’ amplitude decreased when continuous steps were taken, apparent as approximately vertical segments of yellow dots in the plots. However, there was variability across participants as to how long between steps the amplitude stayed reduced. The amplitude stayed reduced more often for participants 1 and 3 compared with participants 2 and 4 (e.g., Figure 7a,b). Histograms of the amplitude showed a positive skewness and were wider for participants 2 and 4 than participants 1 and 3 (Figure 8). We did not observe a consistent trend as to if stationary or weight shifting between bouts had a greater impact on the motion amplitude increase at the outset of a new bout. However, we did observe that temporary doffing induced a greater increase in amplitude at the outset of the subsequent bout compared with that induced by standing or sitting between bouts. Participant 3 demonstrated two groups of valleys on day 6, one at 0.07 mm and the other at 0.09 mm. For each participant, the peak in the histogram across days was at a relatively consistent motion amplitude.
In general, the width of the histograms of peaks were wider than those of valleys (Supplement S6, Figure S4a–d). In other words, the variability in swing phase maxima was higher than the variability in stance phase minima.

4. Discussion

Monitoring distal limb motion in sockets that use suction and elevated vacuum suspension could help improve performance of lower-limb prostheses. Research studies using this technology may characterize how variables under practitioner and patient control (e.g., vacuum pressure, sealing sleeve material) or prosthesis use variables (e.g., type of activity, duration of use) affect a meaningful outcome variable, limb motion. Results may help guide prosthesis prescription, and they may stimulate development in the prosthetics industry of more effective and reliable limb suspension products. Continuous distal limb sensing has the potential to be part of an auto-adjustable socket that changes both socket size and vacuum pressure to maintain proper suspension [21].
We chose to monitor cyclic vertical motion at a distal location in the socket since the suction valve or elevated vacuum pump port is typically located at this position. This location is clinically meaningful to monitor for a loss of vacuum pressure. Further, we sought to position the sensing system in such a way that it introduced minimal disruption to the normal prosthesis, avoiding introducing additional hardware on the outside of the socket. Inductive sensing offers advantages over other techniques reported in the literature to monitor distal limb motion in transtibial prosthesis users. An optical sensing unit positioned underneath the socket to track distal limb motion demonstrated less cyclic vertical motion when a participant used a supracondylar strap compared with no strap, but it required a hole to be cut through the user’s Pelite™ liner to take the measurement [22]. Radiographic methods implemented to track bone position while participants transitioned to weight-bearing showed less tibia motion under elevated vacuum compared with passive suction, locking pin, patellar tendon bearing, and supra-condylar suspension [7,8,23,24], but the method required large equipment and exposed participants to radiation. Both techniques would be difficult to implement in a take-home socket. Optical techniques to monitor motion between the liner and side of the socket have been developed [25,26,27], but the need for either a clear socket material or a small hole through the wall make these methods difficult to implement at a distal location. A dipole magnet disk affixed to the liner and tracked with a sensor mounted outside of the socket achieved sub-millimeter resolution [28], but the technique would need to be modified to measure perpendicular instead of tangential motion for use in the present application. A distal pressure sensor was shown to distinguish sock addition and removal during a structured protocol [29], though no suction or elevated vacuum sockets were tested. Thin piezoresistive pressure sensors placed at the limb-socket interface did not assess limb cyclic motion since loss of socket contact causes them to sense zero pressure or vacuum pressure during swing phase [30].
In-lab test results in the present study demonstrated that all participants moved further away from the socket at both the anterior and posterior sensor sites when socks were added and moved closer when socks were removed. Given the short time course of this test, this result is consistent with expectation and verified proper sensor performance. Sock changes distributed over a longer time period, for example during regular at-home use, might not show such consistent results because the residual limb may change volume over time, and limb-socket alignment may change. The complexity of interface stress distribution changes over time has been studied [31].
When sock ply was reduced (cycles 10 to 12) the people who regularly used elevated vacuum sockets returned closer to baseline than the participant who regularly used a suction socket. It is possible that the soft tissues of the regular elevated vacuum users had adapted differently than suction users. Possibly, the continually applied higher vacuum pressure caused residual limb tissues to change their volume quickly in response to a change in interface pressure. This interpretation is conjecture and would need to be tested through rigorous scientific investigation. Residual limb tissue adaptation to regular use of elevated vacuum has been discussed [12].
The result that cyclic vertical motion increased when socks were added to a properly fitting socket (Figure 5) is consistent with clinical experience. Socks may increase the slip between the liner and the socket, and may also introduce air, a compressible medium, to that interface. Air presence may increase cyclic vertical motion because the air compresses during stance phase and expands during swing phase. Participants 3 and 4, who wore no socks for the optimal sock (sock opt) condition during the in-lab test, showed less limb cyclic vertical motion (length of the bars in Figure 5) for the sock opt condition than participants 1 and 2, who did wear socks for the sock opt condition. During take-home use, participant 3, the only person who did not wear socks, experienced lower and more consistent limb motion amplitude than the other participants (Figure 6 and Figure 8c compared with Supplement S5, Figure S3a–c and Figure 8a,b,d). The results suggest that adding socks negates part of the intent of suction, to reduce limb motion, and should be avoided. As described in comments collected after completing take-home use (Supplement S3, Table S1), participants added socks because they usually used a sock (participant 1) or because the extra weight of the research prosthesis compared to their traditional caused them to feel that sock addition was necessary (participants 2 and 4). The results from the present study provide incentive for prosthetics researchers and the industry to investigate sockets that allow size change while maintaining vacuum. Using adjustable-size sockets or providing participants with various thickness custom plastic inserts may accomplish this design objective. Results from a benchtop model of elevated vacuum suggest that the effect of vacuum pressure on the residual limb is primarily determined by air gap distance [32].
Results from this study do not support the hypothesis that the effectiveness of suspension in suction sockets is reflected as a bimodal distribution of motion, i.e., that there is one amplitude reflecting good suspension and another amplitude reflecting slip. It is clear from the tight distribution of the data during the in-lab test (Figure 5 and Supplement 2, Figure S2) compared with that during take-home use (Supplement S6, Figure S4a–d) that there may be considerable fluctuation in at home environments for how hard participants push into their socket during stance phase and how forceful they pull out during swing phase. Inspection of the histograms in the present study suggests that it is the peaks during swing phase that caused the high variability in the amplitude measurement since their distributions were wider than those of the valleys (Supplement S6, Figure S4a–d). Participant 3 showed a bimodal distribution for the valleys on day 6, because of either lower weight bearing or less swing pull out during some of his bouts of low commotion activity. The result is consistent with moving about in a workshop, which this person reported as an activity (Supplement S3, Table S1).
The insert materials used in this study were much stiffer and more durable than the larger thicker instrumented inserts we used in prior studies [17,33]. The PerFORM material, with its low elongation at break (1.1%), did not crack, demonstrating it as the best choice of the materials tested here. The thinnest insert that we could fabricate was 1.2 mm, which is too thick to add to a participant’s regular socket because the reduced socket volume may cause discomfort. We believe that the inserts are more appropriate to put into new sockets, enlarging the distal end in the computer-aided design file as done in this study or by placing a dummy insert over the positive mold during the layup. Care must be taken to smooth the insert edge so that it does not cause irritation. An alternative design is to eliminate the insert and place the sensor antennae directly in the layup during fabrication, a procedure that we have described [34]. Placement within 3D printed sockets may be possible, once the industry advances and printed materials sufficiently strong for this application are available.
The most meaningful limitation in this study that affected socket use in take-home testing was the weight of the research prosthesis compared with participants’ regular prosthesis. This was not a limitation of the inserts, but instead the lack of available blade prostheses to laminate to participants’ research sockets. A comparatively heavy pylon and energy storage and return foot were used instead. An interesting next step would be to match participants’ regular componentry in an investigational prosthesis to achieve comparable weight to the traditional, and to conduct testing for weeks instead of days. One participant felt that the research liner, which had a trace amount of iron powder in the elastomer next to the fabric backing, was stiffer and not as comfortable as his regular liner. However, the research liner was a different product than the participant’s normal liner, which may have contributed to this statement.
Because only distal locations were monitored in the present study, we were not able to distinguish standing from sitting nor a partially doffed from a fully doffed prosthesis in our prosthesis use characterization. In our prior research, we effectively used four sensors to accomplish these distinctions, two distal and two proximal [16]. If the sit-stand distinction had been available, it would have been possible to determine if there was a greater increase in cyclic vertical motion after sitting than after standing, suggesting a greater loss of suction during sitting. The addition of a vacuum pressure sensor during data collection would allow evaluation of the relationship between vacuum pressure and displacement. A linear relationship was found by Gerschutz et al. using a structured protocol in the lab [4]. It would also be interesting to simultaneously monitor motion on the side of the socket, as pursued by several research groups [25,26,27,28], to gain insight into how the magnitude of motion changes from the proximal to the distal end of the socket.

5. Conclusions

The designed insert performed well in that it accurately measured with high resolution distal limb position and motion in people using transtibial prostheses with suction suspension. Potentially, this technology can be used as an effective tool to facilitate improvement in suction and elevated vacuum technology.
Data collected from four participants suggest that research investigation into cyclic limb motion for sock presence v. absence should be considered, as should the influence of bodily position between bouts of walking. These variables may have an important influence on suspension. Long-term monitoring using duplicates of participants’ regular componentry during testing may provide additional insight into performance and how to improve current EV products.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/prosthesis4040056/s1, Figure S1. Sensed distance data during the in-lab protocol. Example data from participant 4 showing relatively little step-to-step variation in stance phase minima; Figure S2. In-lab test results for the anterior sensors. Results from the anterior sensor for each participant are shown. Each bar shows the range of vertical limb motion during the steps in the cycle, where the top is the median maximum position for the last 10 steps and the bottom is the median minimum position for the last 10 steps. Maxima occurred during swing phase, and minima occurred during stance phase. Minimum distance (bottoms of the bars) increased for all sock additions and reduced for all sock reductions. Limb-socket vertical motion (length of the bars) for anterior sites increased for all sock additions and decreased for all sock reductions; Figure S3. (a–c) Limb position data by hour for participants 1, 2 and 4. The top of a blue bar is the median of the peaks during all steps during the hour, and the bottom is the median of the valleys. A blue dot is added to blue bars that are short and difficult to see. A consistent trend over time was not observed for these participants, like that observed participant 3 (Figure 6); Figure S4. (a) Peak, valley, and amplitude histograms. Participant 1. Y-axes are number of steps. X-axes are distance in mm. (b) Peak, valley, and amplitude histograms. Participant 2. Y-axes are number of steps. X-axes are distance in mm. (c) Peak, valley, and amplitude histograms. Participant 3. Y-axes are number of steps. X-axes are distance in mm. (d) Peak, valley, and amplitude histograms. Participant 4. Y-axes are number of steps. X-axes are distance in mm; Table S1. Participant comments and research observations after take-home testing; Table S2. Step count for each prosthesis day.

Author Contributions

Conceptualization, K.A.C., J.E.S. and K.J.A.; methodology, K.A.C., N.S.D., J.L.G. and J.E.S.; software, J.C.M. and K.A.C.; validation, K.A.C.; formal analysis, K.A.C., J.C.M., J.L.G. and N.K.M.; investigation, K.A.C. and N.S.D.; writing—original draft preparation, K.A.C., J.E.S. and K.J.A.; writing—review and editing, K.J.A., D.B. and J.E.S.; visualization, J.C.M. and N.K.M.; project administration, K.A.C. and J.E.S.; funding acquisition, J.E.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was based on work supported by the US Army Medical Research Acquisition Activity (USAMRAA) under contract No. W81XWH-16-C-0020. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the USAMRAA.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the institutional Review Board of the University of Washington (STUDY00006874, approved 23 April 2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data is contained within the article or Supplementary Material section.

Acknowledgments

We gratefully acknowledge assistance from Ryan Carter towards socket fabrication.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Detailed Description of the Inductive Sensing System

The antenna is fabricated using flexible printed circuit board technology. Its size and layout are designed to meet the distance sensing needs of this application. It is placed within the insert (Figure A1). The antenna is powered by an inductive sensing chip (LDC1614, Texas Instruments, Dallas TX) and battery housed within an electronics box mounted to the participant’s pylon. The antenna and a capacitor attached to it operate as an inductor-capacitor (LC) tank oscillator. Iron powder, embedded within the user’s liner, is a magnetically permeable material. When it is brought within the antenna’s magnetic field, it reinforces the inductor and lowers the sensor’s oscillation frequency in a distance-dependent manner. That changes the frequency measured by the inductive sensing chip and provides a measurement of the distance of the target from the sensor. A thermistor is mounted next to the capacitor so that the data can be thermally compensated.
Figure A1. Sensor in a socket. The antenna is on the bottom side of the insert. The system measures the distance between the antenna and the iron powder within the liner (light blue double arrow). The system is calibrated to record the distance between the inside of the insert and the outside of the liner.
Figure A1. Sensor in a socket. The antenna is on the bottom side of the insert. The system measures the distance between the antenna and the iron powder within the liner (light blue double arrow). The system is calibrated to record the distance between the inside of the insert and the outside of the liner.
Prosthesis 04 00056 g0a1
Example data from approximately 0.5 min during take-home testing are shown in Figure A2. Data are from the posterior sensor.
Figure A2. Example data from a participant during take-home testing. Approximately 0.5 min of data are shown.
Figure A2. Example data from a participant during take-home testing. Approximately 0.5 min of data are shown.
Prosthesis 04 00056 g0a2

Appendix B

Insert Material Characteristics and Thickness for Each Participant

Table A1. Mechanical characteristics of the different insert materials tested (from manufacturers’ literature).
Table A1. Mechanical characteristics of the different insert materials tested (from manufacturers’ literature).
MaterialPrinting MethodTensile Modulus (MPa)Tensile Strength (MPa)Elongation at Break (%)
VeroClear™PolyJet2000–300050–6510–25
Nylon PA12 40% glass filledSLS3600 ± 40050 ± 35 ± 2
Somos™ PerFORMSteroliography10,500681.1
Table A2. Insert thickness for each participant.
Table A2. Insert thickness for each participant.
ParticipantInsert MaterialInsert Thickness (mm)
1Nylon PA12 40% glass filled1.8
2Somos PerFORM “thick”1.8
3Somos PerFORM “thick”1.8
4Somos PerFORM “ultrathin”1.2

Appendix C

Description of Thermal Compensation Procedure

While data were collected from the sensors, the socket was placed in an incubator and slowly heated over ~1 h to 40.0 °C. The incubator door was opened, and the socket allowed to cool back to room temperature, a process that took between 50 and 80 min. Each sensor’s thermistor data was least-squares fit to temperature, and a slope and y-intercept determined. These data were used to thermally compensate data from each sensor collected on a participant, correcting for temperature changes within the socket.

Appendix D

Description of Prosthesis Use Activity Detection Algorithm

The data were downloaded, converted to millimeters, and thermally compensated. To parse the data into days, a don/doff threshold value in the sensor signal was selected from visual inspection of the first day of data. A distance of approximately 10 mm was typically used. Data above the threshold for more than 5 s was considered a doff; all other data were considered donned. The start of a prosthesis day was the first don longer than 30 min. If a donned period shorter than 30 min occurred less than 60 min before the start of the first donned period longer than 30 min, then it was considered the start of the prosthesis day. The end of a prosthesis day was the start of a doff longer than 60 min with no dons longer than 30 min between that point and the start of the next day. Data within each prosthesis day were delineated into five categories: walking (bouts, low commotion); weight shift (standing or sitting); stationary (standing or sitting); or doffed (partially or fully) (Figure A3). An initial amplitude threshold for walk detection was selected by the researcher from visual inspection of the data from the first day. The amplitude threshold was approximately 1/3 of the peak-to-trough signal during walking bouts. Data were considered a step when there was a peak with a trough on each side such that the peak-to-trough amplitude was greater than the amplitude threshold. The same amplitude threshold fraction was used for all bouts for a participant. After all steps were identified, individual steps within 1 s of one another were connected to form a section. Once all the walking sections were identified, the number of steps within each walking section was calculated as the number of swing phase peaks. Walking sections with greater than or equal to 5 steps were considered walking bouts. Walking sections with 2 to 4 steps were considered low commotion. The remaining data, i.e., data between walking bouts, low commotion, and doffs were evaluated. If the section was longer than 3 s and the mean of the data was greater than or equal to the mean minus twice the standard deviation and less than or equal to the mean plus twice the standard deviation of the data in the section, then the section was considered stationary. If the section was shorter than or equal to 3 s or the data were less than or equal to the mean minus twice the standard deviation or more than or equal to the mean plus twice the standard deviation, then the section was considered a weight shift.
Figure A3. Diagram illustrating the prosthesis use categories and sub-categories.
Figure A3. Diagram illustrating the prosthesis use categories and sub-categories.
Prosthesis 04 00056 g0a3
For each participant, durations of the activities were assembled into bar charts for each day and pie charts for the sum duration of all prosthesis days. Steps during walking bouts and low commotion were tabulated for each day and for each hour of the day and plotted as bar graphs.

Appendix E

Clinical Description of Each Participant

Participant 1. Residual limb is 14 cm, cylindrical, pale skin with consistent abrasion at distal tibia. At 6′1″, 93 kg, a K-3 ambulator and daily prosthesis user, nonsmoker, remains active gardening, playing music and consulting. He self-reports co-morbidities such as high blood pressure, atrial fib, peripheral vascular blood clots diagnosed 7 years ago, diabetes including retinopathy, mild neuropathy diagnosed 26 years ago, and cancer treatment 1 year ago. He uses an endoskeletal carbon fiber laminated total surface bearing socket, one-way valve suction suspension with gel sleeve, and WillowWood smart temp liner.
Participant 2. Good general health; nonsmoker, height 6′3″, 98.2 kg, K-3 ambulator. His residual limb is 22.5 cm long, conical, pale skin with skin abrasions and occasional ingrown hair with redness and swelling, and distal red, dry verrucous hyperplasia; evidence of no distal end contact from socket. He uses an endoskeletal laminated carbon fiber total surface bearing socket with an Ossur Iceross seal in liner, and an additional thin liner under the seal in.
Participant 3. Right transtibial amputation due to a work-related injury. He has a 16.5 cm long cylindrical limb with normal sensation, no hair, and pale skin with some redness on the distal end of the limb from excessive vacuum, but no open wound. A 5′11″, 102 kg, and K-3 ambulator full-time prosthesis user, spends much time in a woodworking shop, quit smoking 20 y ago, with co-morbidities including high blood pressure, high cholesterol, back pain from a shrapnel injury 54 y prior. He wears an endoskeletal prosthesis with a total surface bearing laminated socket, Ossur Iceross cushion liner 28 cm. Never uses socks for volume management.
Participant 4. Has a healthy 11 cm, cylindrical residual limb, hairy skin with a history of a few ingrown hairs. A 6′2″, 91.3 kg, K-4 ambulator full time prosthesis user. He is busy, active, health-conscientious, nonsmoker, and athletic. He was diagnosed with multiple sclerosis 5 y ago and manages minor symptoms. An endoskeletal laminated carbon fiber total surface bearing socket with a WillowWood smart temp liner. Since use of vacuum, he has not had to add socks or make any modifications to his prosthetic use.

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Figure 1. Digital model of the insert and a means to align the insert with the brimline. (a) Bottom view of the insert showing recesses for the antennae and antenna tails. The hole at the bottom left allowed the leadwires to bend 90° and pass through a hole in the socket wall (not shown). (b) The proximal brimline (purple) was scanned, and a reference mark in the sagittal plane (sagittal plane outlined in orange) was made on the insert to facilitate proper alignment during placement into the socket.
Figure 1. Digital model of the insert and a means to align the insert with the brimline. (a) Bottom view of the insert showing recesses for the antennae and antenna tails. The hole at the bottom left allowed the leadwires to bend 90° and pass through a hole in the socket wall (not shown). (b) The proximal brimline (purple) was scanned, and a reference mark in the sagittal plane (sagittal plane outlined in orange) was made on the insert to facilitate proper alignment during placement into the socket.
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Figure 2. Sensor antenna. (a) Custom antenna with the center removed to improve flexibility. (b) A thin piece of ferrite is adhered to the external surface, and radial slits are made to improve flexibility. (c) Bottom view of a fabricated insert ready for antenna and leadwire attachment.
Figure 2. Sensor antenna. (a) Custom antenna with the center removed to improve flexibility. (b) A thin piece of ferrite is adhered to the external surface, and radial slits are made to improve flexibility. (c) Bottom view of a fabricated insert ready for antenna and leadwire attachment.
Prosthesis 04 00056 g002
Figure 3. Insert assembly and placement into a socket. (a) Marks are inked on the insert and socket during a dry run assembly to facilitate proper alignment. (b) Antennae are affixed to the insert using hot melt, and annular-shaped Ferrite disks are affixed using double-sided tape. (c) Leadwires are covered with hot melt.
Figure 3. Insert assembly and placement into a socket. (a) Marks are inked on the insert and socket during a dry run assembly to facilitate proper alignment. (b) Antennae are affixed to the insert using hot melt, and annular-shaped Ferrite disks are affixed using double-sided tape. (c) Leadwires are covered with hot melt.
Prosthesis 04 00056 g003
Figure 4. Calibration set up. (a) A sock is placed over the balloon to prevent it from sticking to the inner surface of the liner. The balloon is inflated to a pressure of 3.4 kPa. (b) The balloon is placed within the liner, and a gaiter sleeve (black) is pulled into position over the upper part of the socket and the bottom part of the liner. (c) The proximal end of the liner is folded over at the top. (d) The sealing sleeve (tan) is rolled up onto the proximal socket and balloon to create a seal at both the distal and proximal ends of the socket.
Figure 4. Calibration set up. (a) A sock is placed over the balloon to prevent it from sticking to the inner surface of the liner. The balloon is inflated to a pressure of 3.4 kPa. (b) The balloon is placed within the liner, and a gaiter sleeve (black) is pulled into position over the upper part of the socket and the bottom part of the liner. (c) The proximal end of the liner is folded over at the top. (d) The sealing sleeve (tan) is rolled up onto the proximal socket and balloon to create a seal at both the distal and proximal ends of the socket.
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Figure 5. In-lab test results. Results from the posterior sensor for each participant are shown. Each bar shows the range of vertical limb motion, where the top is the median maximum position for the last 10 steps in the cycle and the bottom is the median minimum position for the last 10 steps in the cycle. Maxima occurred during swing phase, and minima occurred during stance phase. Minimum distance (bottoms of the bars) increased for all sock additions and reduced for all sock reductions. Limb-socket vertical motion (length of the bars) increased for all sock additions and decreased for all sock reductions expect for participant 2′s posterior location for sock 1 to sock 2.
Figure 5. In-lab test results. Results from the posterior sensor for each participant are shown. Each bar shows the range of vertical limb motion, where the top is the median maximum position for the last 10 steps in the cycle and the bottom is the median minimum position for the last 10 steps in the cycle. Maxima occurred during swing phase, and minima occurred during stance phase. Minimum distance (bottoms of the bars) increased for all sock additions and reduced for all sock reductions. Limb-socket vertical motion (length of the bars) increased for all sock additions and decreased for all sock reductions expect for participant 2′s posterior location for sock 1 to sock 2.
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Figure 6. Limb position data by hour for participant 3. The top of a blue bar is the median of the peaks during all steps during the hour, and the bottom is the median of the valleys. The yellow bar is at the 90th percentile of the peaks, and the red bar is at the 10th percentile of the valleys. For this participant, there was a gradual reduction in motion amplitude (length of blue bars) over the day. The limb displaced downward mainly during the morning hours.
Figure 6. Limb position data by hour for participant 3. The top of a blue bar is the median of the peaks during all steps during the hour, and the bottom is the median of the valleys. The yellow bar is at the 90th percentile of the peaks, and the red bar is at the 10th percentile of the valleys. For this participant, there was a gradual reduction in motion amplitude (length of blue bars) over the day. The limb displaced downward mainly during the morning hours.
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Figure 7. Motion amplitude and prosthesis use. (a) Participant 2, Day 2. (b) Participant 1, Day 6. The gray points in the motion amplitude plots (upper panels, (a) and (b), are individual walking bout and low commotion steps. The yellow points are a 21-point moving average. The green, purple, and yellow lines in the prosthesis use plots (lower panels, (a) and (b)) indicate walking bouts (WkBt), stationary (Statnry), and low commotion and weight shift (LC & WS). The black line identifies doff and don.
Figure 7. Motion amplitude and prosthesis use. (a) Participant 2, Day 2. (b) Participant 1, Day 6. The gray points in the motion amplitude plots (upper panels, (a) and (b), are individual walking bout and low commotion steps. The yellow points are a 21-point moving average. The green, purple, and yellow lines in the prosthesis use plots (lower panels, (a) and (b)) indicate walking bouts (WkBt), stationary (Statnry), and low commotion and weight shift (LC & WS). The black line identifies doff and don.
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Figure 8. Histograms of cyclic vertical motion (amplitude). Y-axes are number of steps. X-axes are motion amplitude in mm. Data for the four participants are in columns (ad). The histograms were widest for participant 2 and narrowest for participant 3. Most of the plots shows a positive skewness. Two peaks were visible in some of the days (e.g., participant 3 day 6).
Figure 8. Histograms of cyclic vertical motion (amplitude). Y-axes are number of steps. X-axes are motion amplitude in mm. Data for the four participants are in columns (ad). The histograms were widest for participant 2 and narrowest for participant 3. Most of the plots shows a positive skewness. Two peaks were visible in some of the days (e.g., participant 3 day 6).
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Table 1. Participant demographics information and prosthesis characteristics.
Table 1. Participant demographics information and prosthesis characteristics.
Partic.Gdr.Age
(y)
Time Since amp. (y)BMI (kg/m2)Etiol.Regular
Suspen.
Regular
Foot
Research Suspen.Research Foot
1M63528.9traumaSuctionRush; ESARSuctionRush; ESAR
2M451228.8traumaSuctionCheetah BladeSuctionRush; ESAR
3M731933.5traumaElev. vacuumFillauer BladeSuctionRush; ESAR
4M401827.4traumaElev. vacuumCheetah bladeSuctionRush; ESAR
Partic. = Participant; Gdr. = Gender; amp. = amputation; Etiol. = Etiology; suspen. = suspension; M = male; Elev. = Elevated; ESAR = energy storage and return.
Table 2. Participant sock use during take-home testing.
Table 2. Participant sock use during take-home testing.
ParticipantSock Use
11 ply
23–5 ply
3none
41–2 ply
Table 3. Prosthesis use results. Upper table: Prosthesis use distribution during take-home testing. Results are expressed as a percentage of the sum of all of the participant’s prosthesis day durations. Lower table: Walking time distribution between bouts (≥5 steps) and low commotion (2–4 steps). Results are expressed as a percentage of the participant’s total walking duration.
Table 3. Prosthesis use results. Upper table: Prosthesis use distribution during take-home testing. Results are expressed as a percentage of the sum of all of the participant’s prosthesis day durations. Lower table: Walking time distribution between bouts (≥5 steps) and low commotion (2–4 steps). Results are expressed as a percentage of the participant’s total walking duration.
Prosthesis Use CategoryParticipant
1234
Walking bouts (≥5 step bouts)1.93.22.74.8
Low commotion (2–4 step bouts)2.61.51.42.7
Weight shift (both stand and sit)5.418.53.815.4
Stationary (both stand and sit)77.370.392.077.1
Doffed (partial and full)12.86.50.10.0
Walking SubgroupParticipant
1234
Bouts41.567.866.663.6
Low commotion58.532.233.436.4
Bout to low commotion ratio0.72.12.01.7
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Coburn, K.A.; DeGrasse, N.S.; Mertens, J.C.; Allyn, K.J.; McCarthy, N.K.; Ballesteros, D.; Garbini, J.L.; Sanders, J.E. An Instrumented Printed Insert for Continuous Monitoring of Distal Limb Motion in Suction and Elevated Vacuum Sockets. Prosthesis 2022, 4, 710-729. https://doi.org/10.3390/prosthesis4040056

AMA Style

Coburn KA, DeGrasse NS, Mertens JC, Allyn KJ, McCarthy NK, Ballesteros D, Garbini JL, Sanders JE. An Instrumented Printed Insert for Continuous Monitoring of Distal Limb Motion in Suction and Elevated Vacuum Sockets. Prosthesis. 2022; 4(4):710-729. https://doi.org/10.3390/prosthesis4040056

Chicago/Turabian Style

Coburn, Kendrick A., Nicholas S. DeGrasse, Joseph C. Mertens, Katheryn J. Allyn, Nicholas K. McCarthy, Daniel Ballesteros, Joseph L. Garbini, and Joan E. Sanders. 2022. "An Instrumented Printed Insert for Continuous Monitoring of Distal Limb Motion in Suction and Elevated Vacuum Sockets" Prosthesis 4, no. 4: 710-729. https://doi.org/10.3390/prosthesis4040056

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