Calculates the time intervals between consecutive R-peaks for each channel. The resulting RR interval series is the standard input for all HRV analysis functions in this package.
Arguments
- x
A PhysioExperiment object.
- peaks
A data.frame of detected peaks as returned by
ecgDetectRpeaks, with columnschannel,sample, andtime_sec.
Value
A data.frame with one row per consecutive beat pair and the following columns:
- channel
Integer channel index (1-based).
- rr_ms
RR interval in milliseconds (time between successive R-peaks).
- time_sec
Time of the first beat in each pair (seconds from signal onset).
Returns a zero-row data.frame with the same column structure if fewer than two peaks are available.
References
Pan, J. & Tompkins, W.J. (1985). "A real-time QRS detection algorithm." IEEE Transactions on Biomedical Engineering, 32(3), 230–236. doi:10.1109/TBME.1985.325532
See also
ecgDetectRpeaks for R-peak detection,
ecgHRVtime for time-domain HRV metrics,
ecgHRVfreq for frequency-domain HRV analysis,
ecgQualityCheck for ectopic beat detection.
Examples
if (FALSE) { # \dontrun{
pe <- make_ecg(n_time = 5000, sr = 500, heart_rate = 60)
peaks <- ecgDetectRpeaks(pe)
rr <- ecgRRintervals(pe, peaks)
head(rr)
} # }