摘要
目的探索穿戴式生理参数监测系统在军事作业医学中的应用价值。方法在某新兵训练基地搭建基于随行监护系统的中央监测系统,并分别于2018年和2019年采集新兵入伍3个月军事训练中30人(210人次)、50人(600人次)的连续(≥24 h)生理数据,包括两晚的夜间睡眠、日间训练、业余活动等,通过信号质量算法和人工判读筛选可用信号。随机选取2019年新兵40例,按3 km跑的考核成绩进行排序,将排名前20名和后20名的新兵分为成绩高组与成绩低组,比较两组夜间睡眠和运动指标的差异,探索训练成绩与生理指标的关系。结果采集数据的平均时长为(36.2±12.0)h,信号质量评估结果显示,心电和呼吸信号质量好和中等所占的比例均大于80%,系统能够有效采集新兵军事训练过程中心电、呼吸、体位/体动等数据,实现实时监测和作业效能评估等功能。监测数据显示,成绩高组相比于成绩低组,睡眠分期中的深睡比例更多(16.24%±5.62%vs 12.19%±4.95%,P=0.042),运动后心率恢复差值(1 min、2 min)下降更快[(37.89±5.53)/min vs(31.97±6.20)/min,P=0.003]、[(60.89±6.61)/min vs(49.30±4.76)/min,P=0.000]。结论可穿戴随行监护系统能够在军事作业环境下有效采集新兵的生理数据,该系统通过连续生理监测与分析能够捕捉到更多新兵身体状态变化的信息,为评估军事作业效能提供了新的技术手段。
Objective To explore the value of a real-time wearable physiological parameter monitoring system in military operational medicine.Methods We built a central monitoring system based on wearable devices(SensEcho)at a recruit training base,and continuous dynamics(≥24 hours)physiological data were collected for 30 cases(210 people of data)and 50 cases(600 people of data)during the 3-month military training in 2018 and 2019,respectively,including two nights of night sleep,day training,and leisure activities,and signal quality algorithms and manual interpretation filtered the available signals.Forty cases of 2019 recruits were randomly selected and ranked according to the assessment results of 3km running,and the top 20 and bottom 20 recruits were divided into two groups with good and poor performance to compare the differences in sleep and exercise indicators between the two groups at night,and the correlation between training performance and physiological indicators changes was explored.Results The average duration of data collection was(36.2±12.0)hours,and the results of signal quality assessment showed that the proportion of good and moderate quality of ECG and respiratory signals were greater than 80%.The system could effectively collect ECG,respiratory,body position/movement and other data in the process of military training of new recruits,and achieve real-time monitoring and operational effectiveness evaluation and other functions.Results analysis showed that compared to the group with poor performance,soldiers with good performance had more deep sleep in sleep staging(16.24%±5.62%vs 12.19%±4.95%,P=0.042),faster postexercise heart rate recovery(1 min:[37.89±5.53)beats/min vs[31.97±6.20]beats/min,P=0.003),(2 min:[60.89±6.61]beats/min vs[49.30±4.76]beats/min,P=0.000).Conclusion SensEcho is capable of effectively capturing physiological data from recruits training in a military environment.The system provides a new research tool for evaluating the effectiveness of military operations by obtaining more information on changes in recruits'physical status through continuous physiological monitoring and analysis.
作者
赵静
王钊
张健
范勇
梁洪
张政波
ZHAO Jing;WANG Zhao;ZHANG Jian;FAN Yong;LIANG Hong;ZHANG Zhengbo(Office of Academic Research,Chinese PLA General Hospital,Beijing 100853,China;Chinese PLA Medical School,Beijing 100853,China;Center for Artificial Intelligence in Medicine of Medical Innovation and Research Department,Chinese PLA General Hospital,Beijing 100853,China)
出处
《解放军医学院学报》
CAS
2020年第11期1160-1166,共7页
Academic Journal of Chinese PLA Medical School
基金
北京市科委医药协同科技创新研究(Z181100001918023)
解放军总医院大数据研发项目(2018MBD-009)。
关键词
随行监护系统
生理监测
睡眠
心率恢复
军事作业医学
real-time wearable physiological monitoring system
physiological monitoring
sleep
heart rate recovery
military operational medicine
