用于消费级可穿戴式心电图测量设备的轻量级心跳检测算法及其实现。

Lightweight heartbeat detection algorithm for consumer grade wearable ECG measurement devices and its implementation.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4299-4302. doi: 10.1109/EMBC48229.2022.9871514.

DOI:10.1109/EMBC48229.2022.9871514

Abstract

We have developed a lightweight heartbeat detection algorithm for electrocardiogram (ECG) measurement in consumer-grade wearable devices. Based on a principle of calculating the clearance height in the inverted time differential of an ECG, the algorithm has a sensitivity specific to the QRS complex in an ECG. Because this algorithm is simple and lightweight, an efficient implementation form has been established for porting the algorithm to consumer-grade devices. We experimentally confirmed that the algorithm runs in an actual commercialized wearable device and provides improvement of heart rate measurement with noise caused by body motion.

摘要

我们开发了一种用于消费级可穿戴设备中心电图（ECG）测量的轻量级心跳检测算法。该算法基于计算 ECG 倒时差分中清除高度的原理，对 ECG 中的 QRS 复合波具有特异性灵敏度。由于该算法简单轻便，因此为将算法移植到消费级设备中建立了一种高效的实现形式。我们通过实验证实，该算法在实际商业化的可穿戴设备中运行，并能改善因身体运动引起的噪声对心率测量的影响。