Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface. (13th November 2014)

• Record Type: Journal Article
• Authors: Chen, Po-Ying; Chen, Chi-Chang; Yeh, Wen-Kuan; Chang, Yukan; Huang, Der-Chen; Yu, Shyr-Shen; Tsai, Chwei-Shyong; Huang, Yu-Jung; Lin, Wei-Cheng; Chu, Shao-I; Pan, Chung-Long; Lin, Tsung-Hung; Liu, Shyh-Chang
• Other Names: Lee Chengkuo Academic Editor.
• Is Part Of: Journal of sensors. Volume 2014(2014)
• Publication Date: 2014-11-13
• Subjects: Detectors -- Periodicals; 681.205
• DOI: 10.1155/2014/238350
• Languages: English
• ISSNs: 1687-725X

Abstract

Abstract : Skin is the largest organ of the human body and a physiological structure that is directly exposed to the environment. From a theoretical perspective, numerous physiological and psychological signals use the skin as a medium for input and output with the outside world. Therefore, the skin is considered an optimal signal interception point when developing noninvasive, direct, and rapid signal exploration devices. To date, skin signal interceptions are predominantly performed by measuring skin impedance. However, this method is prone to interference such as sweat secretion, salt accumulation on the skin, and muscle contractions, which may result in a substantial amount of interference and erroneous results. The present study proposes novel and effective methods for skin signal interception, such as using a nested probe as a sensor to measure capacitance to be further processed as physiological and psychological signals. The experimental results indicate that the capacitance curve for the transition between wakefulness and dozing exhibits significant changes. This change in the curve can be analyzed by computer programs to clearly and rapidly determine whether the subject has entered the initial phases of sleep.