在自由生活环境中的压力监测
IEEE journal of biomedical and health informatics
|September 19, 2023
概括
这项研究确定皮肤导电性是检测酒精使用障碍 (AUD) 患者压力的最佳传感器. 报告的压力事件周围的60秒窗口在压力检测模型中实现了高精度.
科学领域:
- 生理监测是指对身体进行生理监测.
- 机器学习应用程序 机器学习应用程序
- 心理健康研究 心理健康研究
背景情况:
- 压力监测对于身体和精神健康至关重要.
- 精确检测压力存在挑战,特别是在现实世界中.
- 接受治疗的酒精使用障碍 (AUD) 患者可能会经历严重的压力.
研究的目的:
- 利用卷积神经网络开发一种数据驱动的应激检测方法.
- 为了确定最佳的传感器通道和数据段长度用于应力检测.
- 在现实条件下分析AUD患者的与压力有关的传感器数据.
主要方法:
- 利用多项式时间算法进行传感器通道选择.
- 建模了时间变化的压力标签,并通过代搜索最佳输入长度来解决主观性.
- 用于数据集平衡的雇佣多数人样本不足和少数人样本过量.
- 应用5倍交叉验证用于模型评估.
主要成果:
- 皮肤导电性被确定为压力最有指示性的传感器模式.
- 在报告的压力标签周围的60秒段长度产生了最佳的检测性能.
- 大多数低样本导致压力分类模型的准确率为99%,F1得分为0.99.
- 少数群体过量抽样导致性能下降 (76.25%准确度,0.68 F1分数),表明现实数据挑战.
结论:
- 皮肤导电性和60秒窗口对于AUD患者的压力检测是有效的.
- 数据平衡技术显著影响模型性能,大多数低样本在本研究中被证明是优越的.
- 这项研究为临床人群中客观的压力监测提供了基础.
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