detect_rpeaks: Detect R peaks in a raw ECG signal.

In rsleep: Analysis of Sleep Data

Detect R peaks in a raw ECG signal.

Description

'detect_rpeaks' implements the first part of the Pan & Tompkins algorithms to detect R peaks from a raw ECG signal.

Usage

detect_rpeaks(
  signal,
  sRate,
  lowcut = 0,
  highcut = 15,
  filter_order = 1,
  integration_window = 15,
  refractory = 200,
  return_index = FALSE
)

Arguments

signal	Numerical vector of ECG signal.
sRate	ECG signal sample rate.
lowcut	Butterworth bandpass filter low cut value.
highcut	Butterworth bandpass filter high cut value.
filter_order	Butterworth bandpass filter order value.
integration_window	Convolution window size.
refractory	Minimal space between peaks in milliseconds.
return_index	If TRUE, the index for each R peak is returned instead of the timing.

Value

A numeric vector of detected R peaks, expressed in seconds* from the start of the signal. This vector can be used in RHRV using 'RHRV::LoadBeatVector()'.

*(or samples if return_index is TRUE)

References

Pan, Jiapu, and Willis J. Tompkins. "A real-time QRS detection algorithm." IEEE Trans. Biomed. Eng 32, no. 3 (1985): 230-236.

Examples

path <- paste0(tempdir(),"rec_1.dat")
download.file("https://physionet.org/files/ecgiddb/1.0.0/Person_01/rec_1.dat?download",path)
ecg <- readBin(path,integer(),500*30)
peaks <- detect_rpeaks(ecg, sRate = 500)
unlink(path)
print(peaks)

ecg.df <- data.frame(ECG = ecg,Seconds = c(1:length(ecg))/500)
library(ggplot2)
ggplot(ecg.df,aes(x = Seconds,y = ECG)) +
  geom_line() + theme_bw() +
  geom_vline(data.frame(p = peaks),mapping = aes(xintercept = p), linetype="dashed",color = "red")

rsleep documentation built on Nov. 6, 2023, 1:06 a.m.