Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors
Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors
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DOI：
10.1109/titb.2011.2169804
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发表时间：
2012-03-01
影响因子：
--
通讯作者：
Gutierrez-Osuna, Ricardo
中科院分区：
文献类型：
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作者：
Choi, Jongyoon;Ahmed, Beena;Gutierrez-Osuna, Ricardo
慢性压力是现代社会特有的。然而，由于它是不可行的医生连续监测压力水平，它的诊断是不平凡的。无线身体传感器网络提供了无处不在的检测和监测精神压力水平的机会，从而能够改善诊断和早期治疗。本文描述了可穿戴传感器平台的开发，以监测精神压力的许多生理相关因素。我们讨论权衡系统设计和传感器的选择，以平衡信息内容和可穿戴性。使用从可穿戴传感器收集的实验信号，我们描述了一些选定的生理特征，表现出良好的相关性与精神压力。特别是，我们提出了一个新的频谱特征，估计自主神经系统的平衡，结合信息的呼吸和心率变异性的功率谱密度。我们验证了我们的方法的有效性，当受试者被放置在两个心理生理条件下的二元歧视问题：精神压力和放松。当用于逻辑回归模型时，我们的特征集能够区分这两种精神状态，在受试者中的成功率为81%。
Chronic stress is endemic to modern society. However, as it is unfeasible for physicians to continuously monitor stress levels, its diagnosis is nontrivial. Wireless body sensor networks offer opportunities to ubiquitously detect and monitor mental stress levels, enabling improved diagnosis, and early treatment. This article describes the development of a wearable sensor platform to monitor a number of physiological correlates of mental stress. We discuss tradeoffs in both system design and sensor selection to balance information content and wearability. Using experimental signals collected from the wearable sensor, we describe a selected number of physiological features that show good correlation with mental stress. In particular, we propose a new spectral feature that estimates the balance of the autonomic nervous system by combining information from the power spectral density of respiration and heart rate variability. We validate the effectiveness of our approach on a binary discrimination problem when subjects are placed under two psychophysiological conditions: mental stress and relaxation. When used in a logistic regression model, our feature set is able to discriminate between these two mental states with a success rate of 81% across subjects.