智能衫的信号质量 记录心电图
Paulo Haas1, Thomas M Deserno1
1Peter L. Reichertz Institute for Medical Informatics, Mühlenpfordtstr. 23, 38106 Braunschweig, DE.
Studies in health technology and informatics
|August 8, 2025
概括
智能衫为预防医学提供了潜力,但运动显著降低了心电图数据的质量. 目前的智能衫不适合持续的健康监测,因为身体活动期间的数据不可靠.
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
- 预防医学 预防医学
背景情况:
- 配备心电图 (ECG) 传感器的智能衫旨在将医疗保健从反应型推向预防型.
- 高准确性数据对于准确的健康预后和有效的预防策略至关重要.
研究的目的:
- 为了评估智能衫记录的ECG在各种身体活动中的数据质量.
- 确定当前智能衫技术是否适用于持续健康监测.
主要方法:
- 48名受试者在穿着智能衫时进行了10分钟的坐,站,走路和跑步.
- 电脑心电图记录被划分为10秒的窗口,并由三个评级人员对信号质量和噪声进行评估.
- 实施了一个评分系统,以确定记录的可用性,用于预防医学.
主要成果:
- 在10,856个窗口中,有26.01%被认为是预防医学有用的.
- 在标记录音质量方面,观察到高的评审者间一致性 (96.61%).
- 可用记录的百分比随着运动增加而显著下降:坐着 (46.68%),站着 (44.80%),走路 (11.05%) 和跑步 (1.51%).
结论:
- 运动工件严重影响智能衫收集的心电图数据的质量.
- 当前的智能衫技术还不适合在动态体育活动期间进行持续,可靠的健康监测.
- 需要进一步的进步来提高可穿戴传感器对现实世界医疗保健应用的稳定性.
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