spkit.data.optical_sample

spkit.data.optical_sample(sample=1, species=None)

Load sample(s) of optical mapping signals

Parameters:
sampleint, {1,2,3,-1}

  • sample number

  • if -1, return all three samples

species: str, default=None, {None, ‘rabbit’}

  • data of species

  • for ‘rabbit’, data of two cameras

Returns:
Xarray,

  • shape (n,) or (n,3) if species= None

  • shape (n,2) or shape (n,6) for species=’rabbit’,

fsint

See also

eda_sample

Electrodermal activity (EDA)

gsr_sample

Galvanic Skin Response (GSR)

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

ppg_sample

Photoplethysmogram (PPG)

egm_sample

Electrogram (EGM)

Examples

import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
x,fs = sp.data.optical_sample(sample=1)
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.grid()
plt.show()
../../_images/spkit-data-optical_sample-1_00_00.png 
#sp.data.optical_sample
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp
X,fs = sp.data.optical_sample(sample=1,species='rabbit')
t = np.arange(X.shape[0])/fs
plt.figure(figsize=(10,4))
plt.subplot(211)
plt.plot(t,X[:,0],color='C0',label='cam1')
plt.xlim([t[0],t[-1]])
plt.grid()
plt.legend(loc=1)
plt.subplot(212)
plt.plot(t,X[:,1],color='C1',label='cam2')
plt.xlim([t[0],t[-1]])
plt.grid()
plt.legend(loc=1)
plt.xlabel('time (s)')
plt.subplots_adjust(hspace=0)
plt.suptitle('Optical: Rabbit')
plt.show()
../../_images/spkit-data-optical_sample-1_01_00.png