If we are converting ECG signal, in frequency domain using FFT or other periodogram, and then calculating RR Interval from signal, then what will the input format for classification be (like SVM, Neural Network)? What features should we take for the input?
In the attached paper it was written to select input feature in form of NextRR (RR of Next Beat), PrevRR (RR of Previous Beat), and RRRatio (RR Ratio of previous to current beat).
My main problem with this solution is, that this way we will classify signal on the basis of single Beat, because NextRR, PrevRR, and RRRatio will be only for single beat.
From ECG or by finger plethysmography one obtains R-R intervals that is the tachogram. on such obtained time series one may perform FFT obtaining three bands , VLF,LF,HF to aobtain ANS analysis
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