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.
heart rate variability signaljoint detection algorithmintercept data lengthnumber of catego-riesanti-interference performance
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