pantompkins | R Documentation |
Detect R peaks of the QRS complex in a raw ECG record, based on the algorithm proposed by Pan & Tompkins (1985)
pantompkins(ecg, fs)
ecg |
The input single-channel input vector (raw ECG) |
fs |
The frequency in Hz with which the ecg was sampled |
This function attempts to detect ECG fiducial points in a single-channel electrocardiogram signal using the algorithm proposed by Pan & Tompkins (1985). The algorithm was originally developed to be implemented in hardware. Here a software implementation with digital filters, and some improvements:
Filter the signal 5-15 Hz (Butterworth); pre- and postpad the signal with 1 s of reversed data to ramp up and down the filter
Compute the derivative
Square the derivative
Apply a moving average (0.15 s filter length)
Search for the peak using findpeaks (mind = 200, minh = 2*sd of moving average), lookup local maximum in signal
Numeric array containing the indices (sample numbers) at which the fiducial R-peaks were found
Geert van Boxtel, G.J.M.vBoxtel@gmail.com
Pan, J., & Tompkins, W.J. (1985). A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, Vol. BME-32, Issue 3, 230-236, DOI: 10.1109/TBME.1985.325532
data(rec100) fs <- 360 pks <- pantompkins(rec100$MLII, fs) ## Not run: # plot first 10 seconds of data N <- 10 * fs plot (rec100$time[1:N], rec100$MLII[1:N], type = "l", main = "MIT-BIH database, record 100", xlab = "Time (s)", ylab = "Amplitude (mV)") points (pks[which(pks <= N)] / fs, rec100$MLII[pks[which(pks <= N)]], col = "red") ## End(Not run)
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