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用于退伍军人适应评估的睡眠与活动监测

Sleep and activity monitoring for Returning Soldier Adjustment Assessment.

作者信息

Yardibi T, Cleary D, Wood J, Stachura M, Wood E, Dicks A

机构信息

Software Sciences and Analytics Organization, General Electric Global Research, Niskayuna, NY 12309, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2144-8. doi: 10.1109/EMBC.2012.6346385.

Abstract

This paper describes the development of unobtrusive room sensors to discover relationships between sleep quality and the clinical assessments of combat soldiers suffering from post-traumatic stress disorder (PTSD) and mild traumatic brain injury (TBI). We consider the use of a remote room sensor unit composed of a Doppler radar, light, sound and other room environment sensors. We also employ an actigraphy watch. We discuss sensor implementation, radar data analytics and preliminary results using real data from a Warrior Transition Battalion located in Fort Gordon, GA. Two radar analytical approaches are developed and compared against the actigraphy watch estimates--one, emphasizing system knowledge; and the other, clustering on several radar signal features. The radar analytic algorithms are able to estimate sleep periods, signal absence and restlessness in the bed. In our test cases, the radar estimates are shown to agree with the actigraphy watch. PTSD and mild-TBI soldiers do often show signs of sporadic and restless sleep. Ongoing research results are expected to provide further insight.

摘要

本文描述了用于发现睡眠质量与患有创伤后应激障碍(PTSD)和轻度创伤性脑损伤(TBI)的战斗士兵临床评估之间关系的非侵入式房间传感器的开发。我们考虑使用由多普勒雷达、光线、声音和其他房间环境传感器组成的远程房间传感器单元。我们还使用了活动记录仪手表。我们讨论了传感器的实施、雷达数据分析以及使用来自佐治亚州戈登堡的一个战士过渡营的真实数据得出的初步结果。开发了两种雷达分析方法,并与活动记录仪手表的估计值进行比较——一种强调系统知识;另一种则基于几个雷达信号特征进行聚类。雷达分析算法能够估计睡眠时间、信号缺失和在床上的不安状态。在我们的测试案例中,雷达估计值与活动记录仪手表的结果一致。患有PTSD和轻度TBI的士兵通常确实表现出睡眠零散和不安的迹象。预计正在进行的研究结果将提供进一步的见解。

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