心率变异性信号的检测与仿真分析
Detection and simulation analysis of HRV signal
谢从晋 1杨柳2
作者信息
- 1. 重庆外语外事学院,重庆 401120
- 2. 重庆财经学院,重庆 401320
- 折叠
摘要
心率变异性信号易受干扰而导致严重失真,为了提升心率变异性信号检测系统的抗干扰性能和检测效率,更有效地"复原"失真的数据点,设计了基于奇异函数法和马尔可夫链预测法的心率变异性信号联合检测算法,利用样本序列进行了仿真实验,并从样本序列截取数据长度(m)和分类数目(k)两个维度进行分析,仿真结果表明m和k对算法的时间复杂度(O)以及预测准确度(q)有极为重要的影响.在实际工程应用中,可参考仿真结果对系统的参数进行设定,从而实现检测速度和准确率的兼顾与平衡.
Abstract
Heart Rate Variability(HRV)signal is easy to be disturbed,resulting in serious distortion.In order to improve the anti-interference performance and detection efficiency of the HRV signal detection sys-tem,so as to more effectively"recover"the distorted data points,this paper designs a joint detection algo-rithm based on the singular function method and Markov chain prediction method,and carries out a predic-tion simulation experiment using the sample sequence.The experiment analyzes the sample interception length(m)and classification number(k),and the results show that m and k have extremely important effects on the time complexity(O)and prediction accuracy(q)of the algorithm.In practical engineering applications,the parameters of the system can be set according to the simulation results,so as to achieve the balance between the detection speed and accuracy.
关键词
心率变异性信号/联合检测算法/截取数据长度/分类数目/抗干扰性Key words
heart rate variability signal/joint detection algorithm/intercept data length/number of catego-ries/anti-interference performance引用本文复制引用
基金项目
重庆市2019年自然科学基金项目(cstc2019jcyjmsxmX0653)
出版年
2024
NETL
NSTL
万方数据