使用Zephletlet在不同EMG强度级别的上臂高密度EMG电极检测心跳
Nargess Heydari Beni1, Ning Jiang2
1Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Computer methods and programs in biomedicine
|October 20, 2023
概括
这项研究提出了一种新的方法,用于使用上臂心电图 (ECG) 信号来准确检测心跳. 开发的技术实现了高F1分数,为改进可穿戴心脏监测铺平了道路.
科学领域:
- 生物医学工程 生物医学工程
- 心血管技术的心血管技术
- 信号处理 信号处理
背景情况:
- 心律不整导致全球可预防的死亡.
- 可穿戴设备为早期检测提供持续的心电图 (ECG) 监测.
- 目前的研究重点是身体表面ECG,但手臂上部监测的研究较少.
研究的目的:
- 开发和验证一种使用手臂上部ECG信号检测心跳的方法.
- 为了在各种条件下确定手臂上方的最佳电极放置.
- 评估在不同肌肉收缩水平下开发方法的性能.
主要方法:
- 在休息和肘部曲 (EF) 条件下,确定了手臂上部的最佳电极位置.
- 通过使用选定的电极和通用权重生成合成的心电图信号.
- 使用零相波 (Zephlet) 进行特征提取,然后使用多剂检测方案 (MDS) 进行心跳检测.
主要成果:
- 心跳检测的F1评分在休息时达到0.94±0.16并且随着肌肉收缩水平的增加而下降.
- 性能随肌肉收缩而变化,F1分数从0.94 (休息) 到0.67±0.31 (C3) 之间.
- 将检测耐受度从50毫秒降低到20毫秒影响了F1得分,为休息值提供0.81 ± 0.20,为C3.0提供0.44 ± 0.26.
结论:
- 在不同的肌肉收缩水平下,在上臂上实现了精确和一致的电极定位.
- 一种准确的心跳检测方法被开发和验证为上臂心电图信号.
- 这些发现有助于推进心脏监测的可穿戴技术,特别是在非理想的条件下.
相关概念视频
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