Wearable Monitoring Devices

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 11715

Special Issue Editor

School of Computer Science and Engineering, Sacred Heart University, Fairfield, CT 06825, USA
Interests: sensors; drones; engineering education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rise of portable devices for consumers, research in wearable devices for physiological monitoring of humans and animal models has increased immensely. While heart rate sensors have matured in the consumer market, other types of sensors, such as glucose, lactate, alcohol, sweat, and other biological markers or fluids, have been explored in the context of sensing technologies, advanced materials, fabrication methods, and device implementation, including but not limited to electronics, power generation, and communication protocols. This issue will focus on all aspects of wearable monitoring devices.

Topics of interest include but are not limited to the following:

  • Low-power sensors electronics;
  • Sensing of biomarkers or biofluids;
  • Wearable devices;
  • Novel monitoring techniques;
  • Sensor design and fabrication.

Dr. Tolga Kaya
Guest Editor

Manuscript Submission Information

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Published Papers (2 papers)

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Research

13 pages, 2528 KiB  
Article
A Wearable Smart Device to Monitor Multiple Vital Parameters—VITAL ECG
by Vincenzo Randazzo, Jacopo Ferretti and Eros Pasero
Electronics 2020, 9(2), 300; https://doi.org/10.3390/electronics9020300 - 09 Feb 2020
Cited by 25 | Viewed by 7809
Abstract
Smart devices are more and more present in every aspect of everyday life. From smartphones, which are now like mini-computers, through systems for monitoring sleep or fatigue, to specific sensors for the recording of vital parameters. A particular class of the latter regards [...] Read more.
Smart devices are more and more present in every aspect of everyday life. From smartphones, which are now like mini-computers, through systems for monitoring sleep or fatigue, to specific sensors for the recording of vital parameters. A particular class of the latter regards health monitoring. Indeed, through the use of such devices, several vital parameters can be acquired and automatically monitored, even remotely. This paper presents the second generation of VITAL-ECG, a smart device designed to monitor the most important vital parameters as a “one touch” device, anywhere, at low cost. It is a wearable device that coupled with a mobile app can track bio-parameters such as: electrocardiogram, SpO2, skin temperature, and physical activity of the patient. Even if it not yet a medical device, a comprehensive comparison with a golden standard electrocardiograph is presented to demonstrate the quality of the recorded signals and the validity of the proposed approach. Full article
(This article belongs to the Special Issue Wearable Monitoring Devices)
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16 pages, 5972 KiB  
Article
Closing the Wearable Gap—Part IV: 3D Motion Capture Cameras Versus Soft Robotic Sensors Comparison of Gait Movement Assessment
by David Saucier, Samaneh Davarzani, Alana Turner, Tony Luczak, Phuoc Nguyen, Will Carroll, Reuben F. Burch V, John E. Ball, Brian K. Smith, Harish Chander, Adam Knight and Raj. K. Prabhu
Electronics 2019, 8(12), 1382; https://doi.org/10.3390/electronics8121382 - 21 Nov 2019
Cited by 14 | Viewed by 3636
Abstract
The purpose of this study was to use 3D motion capture and stretchable soft robotic sensors (SRS) to collect foot-ankle movement on participants performing walking gait cycles on flat and sloped surfaces. The primary aim was to assess differences between 3D motion capture [...] Read more.
The purpose of this study was to use 3D motion capture and stretchable soft robotic sensors (SRS) to collect foot-ankle movement on participants performing walking gait cycles on flat and sloped surfaces. The primary aim was to assess differences between 3D motion capture and a new SRS-based wearable solution. Given the complex nature of using a linear solution to accurately quantify the movement of triaxial joints during a dynamic gait movement, 20 participants performing multiple walking trials were measured. The participant gait data was then upscaled (for the SRS), time-aligned (based on right heel strikes), and smoothed using filtering methods. A multivariate linear model was developed to assess goodness-of-fit based on mean absolute error (MAE; 1.54), root mean square error (RMSE; 1.96), and absolute R2 (R2; 0.854). Two and three SRS combinations were evaluated to determine if similar fit scores could be achieved using fewer sensors. Inversion (based on MAE and RMSE) and plantar flexion (based on R2) sensor removal provided second-best fit scores. Given that the scores indicate a high level of fit, with further development, an SRS-based wearable solution has the potential to measure motion during gait- based tasks with the accuracy of a 3D motion capture system. Full article
(This article belongs to the Special Issue Wearable Monitoring Devices)
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