spkit.data.gsr_sample

spkit.data.gsr_sample(sample=1)

Load sample(s) of Galvanic Skin Response (GSR) or

Widely known as Electrodermal activity (EDA)

• Sample is recorded using copper plats at lower sampling rate (128)

• Sample is part of PhyAAt Dataset [2]

Parameters:

sampleint, {1,2,-1}

• sample number

• if -1, return all two samples

Returns:

Xarray, (n,) or (n,2)

fsint

See also

eda_sample

Electrodermal activity (EDA)

eeg_sample_14ch

Electroencephalography (EEG) - 14-channel

eeg_sample_1ch

Electroencephalography (EEG) - 1-channel

eeg_sample_artifact

Electroencephalography (EEG) processed

ecg_sample_12leads

Electrocardiogram (ECG) - 12-leads

ecg_sample

Electrocardiogram (ECG) - 1-lead

optical_sample

Optical Mapped Signal

ppg_sample

Photoplethysmogram (PPG)

egm_sample

Electrogram (EGM)

References

• [1] wikipedia - https://en.wikipedia.org/wiki/Electrodermal_activity

• [2] PhyAAt Dataset - https://phyaat.github.io/

Examples

#sp.data.gsr_sample
#Example 1
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
x,fs = sp.data.gsr_sample(sample=1)
x = x[:int(fs*60)]
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('GSR Signal')
plt.grid()
plt.show()

############################
#sp.data.gsr_sample
#Example 2
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
x,fs = sp.data.gsr_sample(sample=2)
x = x[:int(fs*60)]
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('GSR Signal')
plt.grid()
plt.show()