[1]郑小涵,朱岩,杨越琪,等.基于心冲击信号的心率检测方法[J].中国医学物理学杂志,2021,38(11):1405-1411.[doi:DOI:10.3969/j.issn.1005-202X.2021.11.016]
　ZHENG Xiaohan,ZHU Yan,YANG Yueqi,et al.Heart rate detection based on ballistocardiogram signals[J].Chinese Journal of Medical Physics,2021,38(11):1405-1411.[doi:DOI:10.3969/j.issn.1005-202X.2021.11.016]
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基于心冲击信号的心率检测方法()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
38卷
期数:
2021年第11期
页码:
1405-1411
栏目:
医学信号处理与医学仪器
出版日期:
2021-11-26

文章信息/Info

Title:
Heart rate detection based on ballistocardiogram signals
文章编号:
1005-202X（2021）11-1405-07
作者:
郑小涵1; 朱岩1; 杨越琪1; 李晓欧2; 周志勇3
1.上海理工大学医疗器械与食品学院， 上海 200093； 2.上海健康医学院医疗器械学院， 上海 201318； 3.上海电机学院设计与艺术学院， 上海 200240
Author(s):
ZHENG Xiaohan1;  ZHU Yan1;  YANG Yueqi1;  LI Xiaoou2;  ZHOU Zhiyong3
1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. College of Medical Instruments, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China 3. School of Design and Art, Shanghai Dianji University, Shanghai 200240, China
关键词:
心冲击描记图; 心率检测; 非接触式; 峰值检测
Keywords:
Keywords: ballistocardiogram heart rate detection non-contact peak detection
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2021.11.016
文献标志码:
A
摘要:
针对现有基于心冲击描记图进行心率检测存在的抗干扰性不足问题，提出一种鲁棒的心率检测模型，首先对原始信号中受干扰的片段进行补偿重构，然后将J峰作为特征波形，通过基于J峰频段的滤波与差分增强处理放大特征，并设计改进的峰值提取算法定位心跳点，进而得到心率估计值。实验结果表明，所用模型对于不同情形下的心冲击描记图信号均表现出良好的适应性，逐拍检测平均覆盖率为98.3%，平均准确率为98.4%。心率输出结果与金标准一致性高，误差范围控制在[±]5%以内，且运算实时性好，可以为临床或家庭保健提供良好的心率检测方案。
Abstract:
Abstract: In view of the lack of anti-interference in existing heart rate detection based on ballistocardiograms, a robust heart rate detection model is proposed. After compensating the interfered fragments in the original signal, J-peak is taken as feature waveform, and J-wave features are amplified based on the filtering of J-peak frequency band and enhanced differential processing. Finally, an improved peak extraction algorithm is designed to locate the heartbeat and then obtain the estimation of heart rate. The experimental results show that the model used in the study has good adaptability to ballistocardiogram signals in different situations. The average coverage rate of beat by beat detection is 98.3%, and the average accuracy reached 98.4%. The heart rate output is in high consistency with gold standard, with an error controlled within ±5%. Moreover, the real-time operation is satisfactory. The proposed method can provide an appropriate heart rate detection scheme for clinical or family health care.

相似文献/References:

[1]徐展宇,陈兆学.基于改进三维卷积网络的非接触式生理参数检测方法[J].中国医学物理学杂志,2025,42(4):479.[doi:10.3969/j.issn.1005-202X.2025.04.009]
　XU Zhanyu,CHEN Zhaoxue.Non-contact physiological parameter detection method based on improved three-dimensionalconvolution network[J].Chinese Journal of Medical Physics,2025,42(11):479.[doi:10.3969/j.issn.1005-202X.2025.04.009]

备注/Memo

备注/Memo:
【收稿日期】2021-04-07 【基金项目】上海市科委科技创新行动计划（19441914900） 【作者简介】郑小涵，硕士，研究方向：医学信号处理，E-mail: 10642534- 20@qq.com 【通信作者】李晓欧，博士，教授，研究方向：体智能感知技术与穿戴式医疗器械，E-mail: lixo@sumhs.edu.cn
更新日期/Last Update: 2021-11-27