Wearable Sensor Glove Based on Conducting Fabric Using Electrodermal Activity and Pulse-Wave Sensors for e-Health Application

2010 ◽  
Vol 16 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Youngbum Lee ◽  
Byungwoo Lee ◽  
Myoungho Lee
Keyword(s):  
Pulse Wave ◽  
Electrodermal Activity ◽  
Wearable Sensor ◽  
Wave Sensors ◽  
Health Application

A Study of Matrix Pulse-Wave Sensors

2020 ◽  
Vol 63 (3) ◽  
pp. 403-409
Author(s):  
I. S. Yavelov ◽  
G. L. Danielyan ◽  
A. V. Rochagov ◽  
A. V. Zholobov ◽  
O. I. Yavelov
Keyword(s):  
Pulse Wave ◽  
Wave Sensors

scholarly journals A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity

2010 ◽  
Vol 57 (5) ◽  
pp. 1243-1252 ◽  
Author(s):  
Ming-Zher Poh ◽  
Nicholas C Swenson ◽  
Rosalind W Picard
Keyword(s):  
Electrodermal Activity ◽  
Wearable Sensor

scholarly journals DETECTING STRESS INCIDENCE WITH WRISTBAND SENSOR-BASED DEVICE: A WAY TO SUPPORT CAREGIVERS OF PERSONS WITH DEMENTIA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S390-S390
Author(s):  
Angela YM Leung
Keyword(s):  
Heart Rate ◽  
Experimental Study ◽  
Electrodermal Activity ◽  
Stress Test ◽  
Physiological Changes ◽  
Wearable Sensor ◽  
Stress Monitoring ◽  
Interbeat Interval ◽  
Skin Conductivity ◽  
The Mean

Abstract This experimental study aimed to investigate the sensitivity of detecting stress level with a wearable device. A total of 10 caregivers underwent a psychological stress test with a wearable sensor-based device that measured skin conductivity (Electrodermal Activity, EDA) and heart rate variability (Interbeat Interval, IBI). Two sample t-tests were used to compare the mean scores of EDA and IBI at baseline and during stress. The accuracy for classifying stress test epochs was 70%. There was a significant increase in EDA at the time when the participants were under stress [mean score (SD) at baseline vs at stress: 0.089 (SD 0.150) vs 0.427 (SD 0.430), p <0.001]. However, insignificant changes in IBI were observed. In conclusion, this wearable sensor-based device was able to recognize stress incidence and accurately capture physiological changes. It has a potential to be part of the sensor-based stress monitoring and alleviating system (SbSMA).

scholarly journals Dual channel electrodermal activity and an ECG wearable sensor to measure mental stress from the hands

ACTA IMEKO ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 56 ◽  
Author(s):  
Antonio Affanni
Keyword(s):  
Mental Stress ◽  
Electrodermal Activity ◽  
Ecg Signal ◽  
Wearable Sensor ◽  
Motion Artefacts ◽  
Everyday Activities ◽  
Dual Channel ◽  
The Subject ◽  
High Level ◽  
Level Performance

<p class="Abstract"><span lang="EN-US">The paper describes the design and characterisation of a dual-channel electrodermal activity (EDA) and ECG sensor for acquiring data from the hands. The need for dual-channel data acquisition is due to the removal of motion artefacts that may happen when EDA is measured on subjects when they are moving their hands in their everyday activities. The ECG channel is measured from the hands using the same electrodes that have already been used for EDA. This choice reduces the invasiveness of ECG measurement with respect to the usual vests or chest bands. The characterisation demonstrates high-level performance of the sensor in terms of linearity and jitter, even if the measurement on the hands provides a weaker ECG signal with respect to chest derivations. Even when the subject is using their hands, no artefacts were found in extracting the heart rate from ECG. </span></p>

scholarly journals Comparison of Pulse Wave Signal Monitoring Techniques with Different Fiber-Optic Interferometric Sensing Elements

Photonics ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 142
Author(s):  
Nikolai Ushakov ◽  
Aleksandr Markvart ◽  
Daria Kulik ◽  
Leonid Liokumovich
Keyword(s):  
Fiber Optic ◽  
Pulse Wave ◽  
Signal To Noise Ratio ◽  
Motion Artifacts ◽  
Signal Quality ◽  
Reflected Waves ◽  
Fabry Perot ◽  
Biomedical Diagnostics ◽  
Healthcare Technologies ◽  
Wave Sensors

Pulse wave (PW) measurement is a highly prominent technique, used in biomedical diagnostics. Development of novel PW sensors with increased accuracy and reduced susceptibility to motion artifacts will pave the way to more advanced healthcare technologies. This paper reports on a comparison of performance of fiber optic pulse wave sensors, based on Fabry–Perot interferometer, fiber Bragg grating, optical coherence tomography (OCT) and singlemode-multimode-singlemode intermodal interferometer. Their performance was tested in terms of signal to noise ratio, repeatability of demodulated signals and suitability of demodulated signals for extraction of information about direct and reflected waves. It was revealed that the OCT approach of PW monitoring provided the best demodulated signal quality and was most robust against motion artifacts. Advantages and drawbacks of all compared PW measurement approaches in terms of practical questions, such as multiplexing capabilities and abilities to be interrogated by portable hardware are discussed.

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