[1]段博,李建清,蔡志鹏,等.不同运动速率下心率检测算法效果评估[J].中国医学物理学杂志,2020,37(11):1436-1440.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.017]
　DUAN Bo,LI Jianqing,CAI Zhipeng,et al.Evaluation of heart rate detection algorithms at different motion rates[J].Chinese Journal of Medical Physics,2020,37(11):1436-1440.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.017]
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不同运动速率下心率检测算法效果评估()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第11期
页码:
1436-1440
栏目:
医学信号处理与医学仪器
出版日期:
2020-12-02

文章信息/Info

Title:
Evaluation of heart rate detection algorithms at different motion rates
文章编号:
1005-202X（2020）11-1436-05
作者:
段博; 李建清; 蔡志鹏; 孙琦; 刘澄玉
东南大学仪器科学与工程学院， 江苏 南京 210096
Author(s):
DUAN Bo;  LI Jianqing;  CAI Zhipeng;  SUN Qi;  LIU Chengyu
School of Instrumental Science and Engineering, Southeast University, Nanjing 210096, China
关键词:
穿戴式设备; 运动信号; 心率; QRS检测算法
Keywords:
Keywords: wearable device motion signal heart rate QRS detection algorithm
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2020.11.017
文献标志码:
A
摘要:
心脑血管疾病对人类健康的威胁日益严重，实时心率的检测与过快心率预警愈加重要。但现有的穿戴式心电研究及心率检测算法，主要应用于临床数据及静息状态数据，针对运动状态的相关研究并不全面。使用穿戴式心电衣与惯性导航仪器相结合的方式，选取5名志愿者进行实验，获取共433段实时数据，以手动标注结果为真值，对速度与心率进行相关性分析。同时，将实验数据以1.5 m/s为分界点分块，选取如下5种QRS检测算法，原始Pan & Tompkins算法、Hamilton & Tompkins算法、JQRS算法、Sixth-power算法、DOM算法，分别进行在低速与高速区间上的心率检测，对检测误差进行对比。结果表明，速度和心率存在正相关关系，5种算法中，DOM算法的心率检测准确率最高，适宜于穿戴式运动心电相关领域应用，Sixth-power算法检测结果最差。
Abstract:
Abstract: The threat of cardiovascular and cerebrovascular diseases to human health is becoming more and more serious, and the real-time heart rate detection and early warning of excessive heart rate are becoming increasingly important. However, the existing researches on wearable electrocardiogram (ECG) devices and heart rate detection algorithms are mainly applied to clinical data and resting-state data, and the related research on motion state is not comprehensive. Five volunteers are enrolled in an experiment which is carried out by the combination of wearable ECG clothing and inertial navigation instrument. A total of 433 real-time data are obtained, and the correlation between speed and heart rate is analyzed with manual labeling results as true values. Meanwhile, the experimental data are divided into blocks with 1.5 m/s as the boundary point, and 5 kinds of QRS detection algorithms, namely Pan & Tompkins algorithm, Hamilton & Tompkins algorithm, JQRS algorithm, Sixth-power algorithm and Difference operation method (DOM), are adopted to detect the heart rate in the low-speed and high-speed intervals, and the detection errors are compared. The results show that there is a positive correlation between speed and heart rate. Among the 5 algorithms, difference operation method has the highest heart rate detection accuracy and that sixth-power algorithm has the worst results, which indicates that DOM is suitable for the applications related to wearable exercise ECG.

备注/Memo

备注/Memo:
【收稿日期】2020-03-11 【基金项目】国家自然科学基金（61571113） 【作者简介】段博，硕士研究生，研究方向：生理信号分析、智能穿戴，E-mail: db8214963@163.com 【通信作者】李建清，教授，博士生导师，研究方向：生物医学、生理信号分析、智能穿戴、大数据，E-mail: ljq@seu.edu.cn
更新日期/Last Update: 2020-12-02