夜间心跳:在睡眠期间,通过手腕穿戴的加速计估计心率
IEEE journal of biomedical and health informatics
|March 3, 2025
概括
研究人员开发了一种新方法,仅使用可穿戴设备的运动传感器数据来估计心率 (HR). 这种仅用于IMU的方法实现了医疗级准确性,使得在缺乏光学传感器的研究中能够进行HR跟踪.
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
- 心血管监测 心血管监测
背景情况:
- 目前的健身追踪器和智能手表主要使用光学传感器来监测心率 (HR).
- 像英国生物银行这样的大规模研究使用缺乏光学传感器的活动追踪器,因此错过了关键的人力资源数据.
- 这种数据缺口限制了从现有的纵向研究中发现人口水平健康趋势的潜力.
研究的目的:
- 介绍第一个数据集,记录了手腕穿戴的加速度计与心电图 (ECG) 在不受控制的家庭环境中的参考.
- 为了研究仅用惯性测量单元 (IMU) 估计心率的可行性,使用弹性心脏图 (BCG).
- 开发和验证一种用于从IMU数据中提取HR的新方法,强大的动作文物.
主要方法:
- 收集了310小时的手腕穿戴IMU和ECG记录的数据集,来自42名参与者在夜间在家里.
- 引入了一种新的基于频率的方法,采用曲线跟踪来从IMU信号中提取HR.
- 开发了文物拒绝技术,以提高基于IMU的HR估计的准确性.
主要成果:
- 建议的IMU-only方法实现了HR估计的0.88bpm的平均绝对误差 (MAE).
- 与以前基于IMU的方法相比,这代表了76%的改进.
- 这种方法成功地超越了心率监测器的医疗标准.
结论:
- 仅使用IMU的HR估计,使用弹性心脏图是监测心脏活动的可行和准确方法.
- 这项技术可以集成到现有的纵向研究中,这些研究使用没有光学传感器的活动追踪器.
- 这些发现突出了从大量人群中以前未开发的HR数据中发现新的健康见解的潜力.
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