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Open AccessArticle Optimal Signal Quality Index for Photoplethysmogram Signals
Bioengineering 2016, 3(4), 21; doi:10.3390/bioengineering3040021
Received: 24 August 2016 / Revised: 18 September 2016 / Accepted: 19 September 2016 / Published: 22 September 2016
Cited by 1 | Viewed by 1028 | PDF Full-text (540 KB) | HTML Full-text | XML Full-text
Abstract
A photoplethysmogram (PPG) is a noninvasive circulatory signal related to the pulsatile volume of blood in tissue and is typically collected by pulse oximeters. PPG signals collected via mobile devices are prone to artifacts that negatively impact measurement accuracy, which can lead to
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A photoplethysmogram (PPG) is a noninvasive circulatory signal related to the pulsatile volume of blood in tissue and is typically collected by pulse oximeters. PPG signals collected via mobile devices are prone to artifacts that negatively impact measurement accuracy, which can lead to a significant number of misleading diagnoses. Given the rapidly increased use of mobile devices to collect PPG signals, developing an optimal signal quality index (SQI) is essential to classify the signal quality from these devices. Eight SQIs were developed and tested based on: perfusion, kurtosis, skewness, relative power, non-stationarity, zero crossing, entropy, and the matching of systolic wave detectors. Two independent annotators annotated all PPG data (106 recordings, 60 s each) and a third expert conducted the adjudication of differences. The independent annotators labeled each PPG signal with one of the following labels: excellent, acceptable or unfit for diagnosis. All indices were compared using Mahalanobis distance, linear discriminant analysis, quadratic discriminant analysis, and support vector machine with leave-one-out cross-validation. The skewness index outperformed the other seven indices in differentiating between excellent PPG and acceptable, acceptable combined with unfit, and unfit recordings, with overall F 1 scores of 86.0%, 87.2%, and 79.1%, respectively. Full article
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Open AccessArticle Oxygen Saturation Reference Value by Percutaneous Pulse Oximetry in Asymptomatic Newborn Babies in Nigeria: A Cross-Sectional Study
Int. J. Neonatal Screen. 2016, 2(3), 6; doi:10.3390/ijns2030006
Received: 23 June 2016 / Revised: 13 July 2016 / Accepted: 12 August 2016 / Published: 18 August 2016
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Abstract
About 1/4 of all neonatal deaths in Nigeria are caused by birth asphyxia. Normal values of oxygen saturation vary according to regional altitudes. They are important for the screening of cyanotic congenital heart diseases and during newborn resuscitation. There is a dearth of
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About 1/4 of all neonatal deaths in Nigeria are caused by birth asphyxia. Normal values of oxygen saturation vary according to regional altitudes. They are important for the screening of cyanotic congenital heart diseases and during newborn resuscitation. There is a dearth of such information in Nigeria. We determined reference values for oxygen saturation by pulse oximetry (SpO2) in asymptomatic newborns aged ≤7 days in Enugu at an altitude of 180 m. The study was cross-sectional. Neonates weighing ≥1500 g at birth were enrolled consecutively. Pre-and post-ductal oxygen saturation was measured using a Datex-Ohmeda Tuffsat® pulse oximeter with neonatal probes. Five hundred and fourteen babies comprising of 24 (4.4%) preterm and 490 (95.3%) term neonates were studied. The mean pre-ductal SpO2 of all babies was 96.1% ± 1.4% and higher than mean post-ductal SpO2 of 95.9% ± 1.4% (p = 0.022). The mean pre-ductal SpO2 were 96.1% ± 1.5% and 96.1% ± 1.3%, (p = 1.000) for males and females, respectively. The mean pre-ductal SpO2 values were higher than the mean post-ductal SpO2 for the corresponding post-natal ages. Full article
Open AccessArticle Improving Pulse Rate Measurements during Random Motion Using a Wearable Multichannel Reflectance Photoplethysmograph
Sensors 2016, 16(3), 342; doi:10.3390/s16030342
Received: 2 January 2016 / Revised: 26 February 2016 / Accepted: 1 March 2016 / Published: 7 March 2016
Cited by 3 | Viewed by 1143 | PDF Full-text (5224 KB) | HTML Full-text | XML Full-text
Abstract
Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsatile arterial blood volume. PPG waveforms are highly susceptible to motion artifacts (MA), limiting the implementation of PR measurements in mobile physiological monitoring devices. Previous studies have shown that multichannel photoplethysmograms
[...] Read more.
Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsatile arterial blood volume. PPG waveforms are highly susceptible to motion artifacts (MA), limiting the implementation of PR measurements in mobile physiological monitoring devices. Previous studies have shown that multichannel photoplethysmograms can successfully acquire diverse signal information during simple, repetitive motion, leading to differences in motion tolerance across channels. In this paper, we investigate the performance of a custom-built multichannel forehead-mounted photoplethysmographic sensor under a variety of intense motion artifacts. We introduce an advanced multichannel template-matching algorithm that chooses the channel with the least motion artifact to calculate PR for each time instant. We show that for a wide variety of random motion, channels respond differently to motion artifacts, and the multichannel estimate outperforms single-channel estimates in terms of motion tolerance, signal quality, and PR errors. We have acquired 31 data sets consisting of PPG waveforms corrupted by random motion and show that the accuracy of PR measurements achieved was increased by up to 2.7 bpm when the multichannel-switching algorithm was compared to individual channels. The percentage of PR measurements with error ≤ 5 bpm during motion increased by 18.9% when the multichannel switching algorithm was compared to the mean PR from all channels. Moreover, our algorithm enables automatic selection of the best signal fidelity channel at each time point among the multichannel PPG data. Full article
(This article belongs to the Special Issue Wearable Sensors)
Open AccessArticle A Single-Chip CMOS Pulse Oximeter with On-Chip Lock-In Detection
Sensors 2015, 15(7), 17076-17088; doi:10.3390/s150717076
Received: 21 March 2015 / Revised: 8 June 2015 / Accepted: 6 July 2015 / Published: 14 July 2015
Cited by 3 | Viewed by 1734 | PDF Full-text (1323 KB) | HTML Full-text | XML Full-text
Abstract
Pulse oximetry is a noninvasive and continuous method for monitoring the blood oxygen saturation level. This paper presents the design and testing of a single-chip pulse oximeter fabricated in a 0.35 µm CMOS process. The chip includes photodiode, transimpedance amplifier, analogue band-pass filters,
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Pulse oximetry is a noninvasive and continuous method for monitoring the blood oxygen saturation level. This paper presents the design and testing of a single-chip pulse oximeter fabricated in a 0.35 µm CMOS process. The chip includes photodiode, transimpedance amplifier, analogue band-pass filters, analogue-to-digital converters, digital signal processor and LED timing control. The experimentally measured AC and DC characteristics of individual circuits including the DC output voltage of the transimpedance amplifier, transimpedance gain of the transimpedance amplifier, and the central frequency and bandwidth of the analogue band-pass filters, show a good match (within 1%) with the circuit simulations. With modulated light source and integrated lock-in detection the sensor effectively suppresses the interference from ambient light and 1/f noise. In a breath hold and release experiment the single chip sensor demonstrates consistent and comparable performance to commercial pulse oximetry devices with a mean of 1.2% difference. The single-chip sensor enables a compact and robust design solution that offers a route towards wearable devices for health monitoring. Full article
(This article belongs to the Special Issue On-Chip Sensors)
Open AccessArticle Novel Wearable and Wireless Ring-Type Pulse Oximeter with Multi-Detectors
Sensors 2014, 14(9), 17586-17599; doi:10.3390/s140917586
Received: 14 August 2014 / Revised: 9 September 2014 / Accepted: 17 September 2014 / Published: 19 September 2014
Cited by 9 | Viewed by 2145 | PDF Full-text (6961 KB) | HTML Full-text | XML Full-text
Abstract
The pulse oximeter is a popular instrument to monitor the arterial oxygen saturation (SPO2). Although a fingertip-type pulse oximeter is the mainstream one on the market at present, it is still inconvenient for long-term monitoring, in particular, with respect to motion.
[...] Read more.
The pulse oximeter is a popular instrument to monitor the arterial oxygen saturation (SPO2). Although a fingertip-type pulse oximeter is the mainstream one on the market at present, it is still inconvenient for long-term monitoring, in particular, with respect to motion. Therefore, the development of a wearable pulse oximeter, such as a finger base-type pulse oximeter, can effectively solve the above issue. However, the tissue structure of the finger base is complex, and there is lack of detailed information on the effect of the light source and detector placement on measuring SPO2. In this study, the practicability of a ring-type pulse oximeter with a multi-detector was investigated by optical human tissue simulation. The optimal design of a ring-type pulse oximeter that can provide the best efficiency of measuring SPO2 was discussed. The efficiency of ring-type pulse oximeters with a single detector and a multi-detector was also discussed. Finally, a wearable and wireless ring-type pulse oximeter was also implemented to validate the simulation results and was compared with the commercial fingertip-type pulse oximeter. Full article
(This article belongs to the collection Sensors for Globalized Healthy Living and Wellbeing)
Open AccessArticle Design and Evaluation of a Low-Cost Smartphone Pulse Oximeter
Sensors 2013, 13(12), 16882-16893; doi:10.3390/s131216882
Received: 15 October 2013 / Revised: 16 November 2013 / Accepted: 2 December 2013 / Published: 6 December 2013
Cited by 20 | Viewed by 2611 | PDF Full-text (550 KB) | HTML Full-text | XML Full-text
Abstract
Infectious diseases such as pneumonia take the lives of millions of children in low- and middle-income countries every year. Many of these deaths could be prevented with the availability of robust and low-cost diagnostic tools using integrated sensor technology. Pulse oximetry in particular,
[...] Read more.
Infectious diseases such as pneumonia take the lives of millions of children in low- and middle-income countries every year. Many of these deaths could be prevented with the availability of robust and low-cost diagnostic tools using integrated sensor technology. Pulse oximetry in particular, offers a unique non-invasive and specific test for an increase in the severity of many infectious diseases such as pneumonia. If pulse oximetry could be delivered on widely available mobile phones, it could become a compelling solution to global health challenges. Many lives could be saved if this technology was disseminated effectively in the affected regions of the world to rescue patients from the fatal consequences of these infectious diseases. We describe the implementation of such an oximeter that interfaces a conventional clinical oximeter finger sensor with a smartphone through the headset jack audio interface, and present a simulator-based systematic verification system to be used for automated validation of the sensor interface on different smartphones and media players. An excellent agreement was found between the simulator and the audio oximeter for both oxygen saturation and heart rate over a wide range of optical transmission levels on 4th and 5th generations of the iPod TouchTM and iPhoneTM devices. Full article
(This article belongs to the collection Sensors for Globalized Healthy Living and Wellbeing)
Open AccessArticle Use of a Combined SpO2/PtcCO2 Sensor in the Delivery Room
Sensors 2012, 12(8), 10980-10989; doi:10.3390/s120810980
Received: 12 June 2012 / Revised: 16 July 2012 / Accepted: 31 July 2012 / Published: 8 August 2012
Cited by 3 | Viewed by 2317 | PDF Full-text (321 KB) | HTML Full-text | XML Full-text
Abstract
Arterial oxygen saturation (SaO2) and partial arterial pressure of carbon dioxide (PaCO2) are important respiratory parameters in critically ill neonates. A sensor combining a pulse oximeter with the Stow-Severinghaus electrode, required for the measurement of peripheral oxygen saturation (SpO
[...] Read more.
Arterial oxygen saturation (SaO2) and partial arterial pressure of carbon dioxide (PaCO2) are important respiratory parameters in critically ill neonates. A sensor combining a pulse oximeter with the Stow-Severinghaus electrode, required for the measurement of peripheral oxygen saturation (SpO2) and transcutaneous partial pressure of carbon dioxide (PtcCO2), respectively, has been recently used in neonatal clinical practice (TOSCA500ÒRadiometer). We evaluated TOSCA usability and reliability in the delivery room (DR), throughout three different periods, on term, late-preterm, and preterm neonates. During the first period (period A), 30 healthy term neonates were simultaneously monitored with both TOSCA and a MASIMO pulse oximeter. During the second period (period B), 10 healthy late-preterm neonates were monitored with both TOSCA and a transcutaneous device measuring PtcCO2 (TINAÒ TCM3, Radiometer). During the third period (period C), 15 preterm neonates were monitored with TOSCA and MASIMO after birth, during stabilization, and during transport to the neonatal intensive care unit (NICU). Blood gas analyses were performed to compare transcutaneous and blood gas values. TOSCA resulted easily and safely usable in the DR, allowing reliable noninvasive SaO2 estimation. Since PtcCO2 measurements with TOSCA required at least 10 min to be stable and reliable, this parameter was not useful during the early resuscitation immediately after birth. Moreover, PtcCO2 levels were less precise if compared to the conventional transcutaneous monitoring. However, PtcCO2 measurement by TOSCA was useful as trend-monitoring after stabilization and during transport to NICU. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy 2012)
Open AccessReview Respiratory Physiology and the Impact of Different Modes of Ventilation on the Photoplethysmographic Waveform
Sensors 2012, 12(2), 2236-2254; doi:10.3390/s120202236
Received: 13 December 2011 / Revised: 7 February 2012 / Accepted: 8 February 2012 / Published: 16 February 2012
Cited by 4 | Viewed by 2394 | PDF Full-text (3524 KB) | HTML Full-text | XML Full-text
Abstract
The photoplethysmographic waveform sits at the core of the most used, and arguably the most important, clinical monitor, the pulse oximeter. Interestingly, the pulse oximeter was discovered while examining an artifact during the development of a noninvasive cardiac output monitor. This article will
[...] Read more.
The photoplethysmographic waveform sits at the core of the most used, and arguably the most important, clinical monitor, the pulse oximeter. Interestingly, the pulse oximeter was discovered while examining an artifact during the development of a noninvasive cardiac output monitor. This article will explore the response of the pulse oximeter waveform to various modes of ventilation. Modern digital signal processing is allowing for a re-examination of this ubiquitous signal. The effect of ventilation on the photoplethysmographic waveform has long been thought of as a source of artifact. The primary goal of this article is to improve the understanding of the underlying physiology responsible for the observed phenomena, thereby encouraging the utilization of this understanding to develop new methods of patient monitoring. The reader will be presented with a review of respiratory physiology followed by numerous examples of the impact of ventilation on the photoplethysmographic waveform. Full article
(This article belongs to the Special Issue Optical Sensors in Medicine)
Open AccessArticle Phantom with Pulsatile Arteries to Investigate the Influence of Blood Vessel Depth on Pulse Oximeter Signal Strength
Sensors 2012, 12(1), 895-904; doi:10.3390/s120100895
Received: 29 November 2011 / Revised: 29 December 2011 / Accepted: 10 January 2012 / Published: 16 January 2012
Cited by 6 | Viewed by 3127 | PDF Full-text (446 KB) | HTML Full-text | XML Full-text
Abstract
This paper describes a three-layer head phantom with artificial pulsating arteries at five different depths (1.2 mm, 3.7 mm, 6.8 mm, 9.6 mm and 11.8 mm). The structure enables formation of spatially and temporally varying tissue properties similar to those of living tissues.
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This paper describes a three-layer head phantom with artificial pulsating arteries at five different depths (1.2 mm, 3.7 mm, 6.8 mm, 9.6 mm and 11.8 mm). The structure enables formation of spatially and temporally varying tissue properties similar to those of living tissues. In our experiment, pressure pulses were generated in the arteries by an electronically controlled pump. The physical and optical parameters of the layers and the liquid in the artificial arteries were similar to those of real tissues and blood. The amplitude of the pulsating component of the light returning from the phantom tissues was measured at each artery depth mentioned above. The build-up of the in-house-developed pulse oximeter used for performing the measurements and the physical layout of the measuring head are described. The radiant flux generated by the LED on the measuring head was measured to be 1.8 mW at 910 nm. The backscattered radiant flux was measured, and found to be 0.46 nW (0.26 ppm), 0.55 nW (0.31 ppm), and 0.18 nW (0.10 ppm) for the 1.2 mm, 3.7 mm and 6.8 mm arteries, respectively. In the case of the 9.6 mm and 11.8 mm arteries, useful measurement data were not obtained owing to weak signals. We simulated the phantom with the arteries at the above-mentioned five depths and at two additional ones (2.5 mm and 5.3 mm in depth) using the Monte Carlo method. The measurement results were verified by the simulation results. We concluded that in case of 11 mm source-detector separation the arteries at a depth of about 2.5 mm generate the strongest pulse oximeter signal level in a tissue system comprising three layers of thicknesses: 1.5 mm (skin), 5.0 mm (skull), and > 50 mm (brain). Full article
(This article belongs to the Special Issue Optical Sensors in Medicine)
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