Measuring Entropy Change in a Human Physiological System

S. Boregowda, R. Handy, Darrah K. Sleeth, A. Merryweather
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引用次数: 14

Abstract

The paper presents a novel approach involving the use of Maxwell relations to combine multiple physiological measures to provide a measure of entropy change. The physiological measures included blood pressure (BP), heart rate (HR), skin temperature (ST), electromyogram (EMG), and electrodermal response (EDR). The multiple time-series physiological data were collected from eight subjects in an experimental pilot study conducted at the Human Engineering Laboratory of NASA Langley Research Center. The methodology included data collection during a relaxation period of eighteen minutes followed by a sixty-minute cognitive task. Two types of entropy change were computed: (a) entropy change (ΔS BP ) due to blood pressure, heart rate, and skin temperature and (b) entropy change (ΔS EMG ) due to electromyogram, electrodermal response, and skin temperature. The results demonstrate that entropy change provides a valuable composite measure of individual physiological response to various stressors that could be valuable in the areas of medical research, diagnosis, and clinical practice.
测量人体生理系统的熵变
本文提出了一种涉及使用麦克斯韦关系的新方法,以结合多种生理测量来提供熵变的测量。生理指标包括血压(BP)、心率(HR)、皮肤温度(ST)、肌电图(EMG)和皮电反应(EDR)。在美国宇航局兰利研究中心人体工程实验室进行的一项实验性先导研究中,从8名受试者中收集了多个时间序列生理数据。该方法包括在18分钟的放松期间收集数据,然后进行60分钟的认知任务。计算两种类型的熵变:(a)由血压、心率和皮肤温度引起的熵变(ΔS BP)和(b)由肌电图、皮肤电反应和皮肤温度引起的熵变(ΔS EMG)。结果表明,熵变为个体对各种压力源的生理反应提供了一种有价值的复合测量方法,这在医学研究、诊断和临床实践领域可能是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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