spkit.data.ecg_sample¶
- spkit.data.ecg_sample(sample=1)¶
Load sample(s) of ECG sampled at high rate
ECG : Contact Electrocardiogram, recorded at high rate
- Parameters:
- sampleint, {1,2,3,4,-1}
sample number
if -1, return all 4 samples
- Returns:
- Xarray, (n,) or (n,4)
- fsint
See also
eda_sampleElectrodermal activity (EDA)
gsr_sampleGalvanic Skin Response (GSR)
eeg_sample_14chElectroencephalography (EEG) - 14-channel
eeg_sample_1chElectroencephalography (EEG) - 1-channel
eeg_sample_artifactElectroencephalography (EEG) processed
ecg_sample_12leadsElectrocardiogram (ECG) - 12-leads
optical_sampleOptical Mapped Signal
ppg_samplePhotoplethysmogram (PPG)
egm_sampleElectrogram (EGM)
Examples
#sp.data.ecg_sample #Example 1 import numpy as np import matplotlib.pyplot as plt import spkit as sp x,fs = sp.data.ecg_sample(sample=1) x = x[:int(fs*3)] t = np.arange(len(x))/fs plt.figure(figsize=(12,3)) plt.plot(t,x) plt.xlim([t[0],t[-1]]) plt.xlabel('time (s)') plt.ylabel('ECG Signal') plt.grid() plt.show()
############################ #sp.data.ecg_sample #Example 2 import numpy as np import matplotlib.pyplot as plt import spkit as sp x,fs = sp.data.ecg_sample(sample=2) x = x[:int(fs*10)] t = np.arange(len(x))/fs plt.figure(figsize=(12,3)) plt.plot(t,x) plt.xlim([t[0],t[-1]]) plt.xlabel('time (s)') plt.ylabel('ECG Signal') plt.grid() plt.show()



