Self-Adjustable Galvanic Skin Response Sensor for Physiological Monitoring

皮肤电导 灵敏度(控制系统) 光容积图 可穿戴计算机 电导 计算机科学 人工智能 模拟 生物医学工程 电子工程 数学 工程类 嵌入式系统 计算机视觉 滤波器(信号处理) 组合数学
作者
José Ángel Portal Miranda,Alba Paez-Montoro,C. López-Ongil,Susana Paton
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:23 (3): 3005-3019 被引量:3
标识
DOI:10.1109/jsen.2022.3233439
摘要

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 $\mu \text{S}$ , 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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