📄 ecgdetectqsrank.m
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function [Q,S,R] = ECGDetectQSRank(x,fsa,fsda,pfa);%ECGDetectQSRank: ECG QS-wave detector based on ranks%% [R,s] = ECGDetectQSRank(x,fs,fsd,pf);%% x Input signal % fs Signal sample rate (Hz). Default=500 Hz % fsd Sampling frequency during detection. Default = 100 Hz % pf Plot flag: 0=none (default), 1=screen,%% Q Q wave index, samples% S S wave index, samples%% Beat detection algorithm for ECG signals based on ranks. The % algorithm detects the time location of the Q and the S wave. % In order to perform the detection faster, the algorithm decimates% the input signal to fsd, which is 100 Hz by default. If time % resolution of the detected Q and S-waves is more importand than % speed, then fsd can be set to fs, and the algorithm would not % decimate the signal during detection. The algorithm also outputs% an estimate of the number of false negatives, false positives, % and the performance based on the interbeat intervals. %% Example: Detect the Q and S waves in an ECG signal sampled at 500 Hz.% Perform the detection at fsd = 100 Hz (the signal is decimated to % have a sampling rate of 100 Hz during detection for fater detection).%% load ECG; % [Q,S] = ECGDetectQSRank(ecg,500,100,1);%% Version 1.00 MA%% See also ECGDetectRInterbeat, ECGDetectR and ECGDetectQRS.
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