Create Simulated ECG with Noise Artifacts

Generates a PhysioExperiment object containing synthetic ECG data contaminated with multiple noise sources: baseline wander (0.3 Hz sinusoidal drift), powerline interference (50 Hz), and broadband Gaussian noise. Useful for testing signal quality assessment, baseline correction, and filtering pipelines.

Usage

make_ecg_noisy(
  n_time = 5000,
  n_channels = 1,
  sr = 500,
  heart_rate = 72,
  baseline_amp = 0.3,
  powerline_amp = 0.1,
  noise_sd = 0.15
)

Arguments

n_time

Number of time points (default: 5000).

n_channels

Number of ECG channels (default: 1).

sr

Sampling rate in Hz (default: 500).

heart_rate

Heart rate in beats per minute (default: 72).

baseline_amp

Amplitude of baseline wander in arbitrary units (default: 0.3).

powerline_amp

Amplitude of 50 Hz powerline noise (default: 0.1).

noise_sd

Standard deviation of broadband Gaussian noise (default: 0.15).

Value

A PhysioExperiment object with a single "raw" assay containing the noisy ECG signal.

References

Clifford, G.D., Azuaje, F. & McSharry, P.E. (2006). Advanced Methods and Tools for ECG Data Analysis. Artech House.

Shaffer, F. & Ginsberg, J.P. (2017). "An overview of heart rate variability metrics and norms." Frontiers in Public Health, 5, 258. doi:10.3389/fpubh.2017.00258

See also

make_ecg for clean ECG data, ecgSignalQuality for signal quality assessment, ecgBaselineCorrect for baseline wander removal, ecgDetectRpeaks for R-peak detection.

Examples

pe <- make_ecg_noisy(n_time = 5000, sr = 500)
pe
#> class: PhysioExperiment
#> dim: 5000 x 1 
#> assays(1): raw
#> samplingRate: 500 Hz
#> channels(1): ECG1
#> colData names(2): label, type