📄 ecgdetectrrank.m
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function [R,nfn,nfp,pr] = ECGDetectRRank(x,fsa,fsda,pfa);%ECGDetectRRank: ECG R-wave detector based on ranks%% [R,nfn,nfp,pr] = ECGDetectRRank(x,fs,fsd,pf);%% x Input signal % fs Sampling frequency (Hz). Default=500 Hz % fsd Sampling frequency during detection. Default = 100 Hz % pf Plot flag: 0=none (default), 1=screen%% R R wave index, samples% nfn Estimated number of false negatives (missed detections)% nfp Estimated number of false positives (over detections)% pr Estimated performance %% Beat detection algorithm for ECG signals based on ranks. The % algorithm detects the time location of the R wave. In order to % perform the detection faster, the algorithm decimates the input % signal to fsd, which is 100 Hz by default. 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 R component on 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 NOISYECG; % [R,nfn,nfp,pr] = ECGDetectRRank(noisyecg,500,100,1);%% Version 1.00 MA%% See also ECGDetectRInterbeat, ECGDetectR and ECGDetectQRS.
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