4.7 Article

Self-Adjustable Galvanic Skin Response Sensor for Physiological Monitoring

期刊

IEEE SENSORS JOURNAL
卷 23, 期 3, 页码 3005-3019

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3233439

关键词

Sensors; Skin; Sensitivity; Biomedical monitoring; Monitoring; Electrodes; Current measurement; Galvanic skin response (GSR); physiological signals; self-adjustable sensor; signal processing

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Continuous physiological monitoring in wearable devices is currently a popular topic. However, measuring physiological variables is challenging due to personal factors. This article introduces a new skin conductance analog front end to address individual physiological dynamics. The system's performance is compared with existing skin conductance sensors, and experimental results from 47 women volunteers are analyzed and compared with a reference sensing system. The research aims to promote the development of self-adjustable wearable sensors.
Continuous physiological monitoring integrated within current wearable devices is a hot topic nowadays. Despite that, measuring physiological variables is still challenging due to intrinsic and extrinsic personal factors. This results in the need for smart, adjustable, and personalized sensing devices. Among the different physiological signals that can be measured, changes in skin conductance are extensively used in affective computing research. This measurement presents an unequivocal relationship with the sympathetic branch of the autonomous nervous system, which relates to emotional reactions. However, there is a lack of self-adjustable skin conductance sensors. This article presents a novel skin conductance analog front end to deal with individual physiological dynamics. We compared the performance of our system with other skin conductance sensor circuits presented in the literature. Moreover, the experimental results in this work come from the data collected in 47 women volunteers and are compared with the measurements with a reference physiological sensing system commonly used for validations. Finally, our system presents a competitive averaged sensitivity for a typical human electrodermal activity (EDA) range compared to the current state-of-the-art solutions. Experimental results show that the system achieves an averaged sensitivity of up to 0.33 nS for a range 0-40 mu S, with a relative error below 1% for fixed-resistance measurements and a 0.94 median correlation coefficient when directly comparing with the reference sensor. Moreover, we extracted and analyzed different physiological features in data from both sensors and obtained comparable results. Finally, this research is intended to boost the design and development of subject-independent and self-adjustable wearable sensors.

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