用消费者智能衫记录的心电图的质量
Paulo Haas1, Nicolai Spicher2, Joana M Warnecke1
1Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Brunswick, Germany.
Studies in health technology and informatics
|August 23, 2024
概括
智能可穿戴传感器提供持续的健康监测,但在体育活动期间与信号质量作斗争. 对于静止活动来说,心电图信号质量是可以接受的,但在走路和跑步时显著降低.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 生理监测 生理监测
背景情况:
- 智能可穿戴设备可以持续监测生命体征,以早期检测健康状况恶化.
- 高质量的传感器数据对于可靠的生理信号采集至关重要,尤其是在运动期间.
研究的目的:
- 在各种身体活动期间评估智能可穿戴传感器的信号质量.
- 确定智能可穿戴设备是否适合在不同活动级别的持续健康监测.
主要方法:
- 48名受试者配备了智能衫,用于测量心电图 (ECG),呼吸诱导囊图和加速.
- 在坐着,站着,走路和跑步时记录生理数据,每次为10分钟.
- 预处理了心电图信号,并应用了信号质量指数来评估数据可靠性.
主要成果:
- 坐着时间的73.20%和站着时间的91.85%的ECG信号质量是可以接受的.
- 在步行和跑步期间,心电图信号质量仅在记录时间的12.26%和13.14%是可以接受的.
- 信号质量指数分析显示,在动态运动期间,信号质量有显著的退化.
结论:
- 智能可穿戴设备适合在久坐不动的生活方式的人中进行持续的健康监测.
- 目前的技术不建议在运动或高强度活动期间进行持续的生理监测.
- 需要进一步的进步来提高传感器的准确性和信号完整性在运动期间.
关键词:
健身追踪器 健身追踪器 健身追踪器健康追踪器的健康追踪器移动健康 移动健康 移动健康 移动健康移动健康的移动健康信号质量信号质量信号质量智能织品 智能织品是什么智能可穿戴设备是一种智能可穿戴设备.更多相关视频
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