Electrodermal Activity (EDA)¶

Electrodermal Activity (EDA) signals reflect variations in skin conductance and are strongly associated with sympathetic nervous system activation. EDA is frequently used in stress and arousal studies by separating tonic and phasic components of the skin response.

API quick links: biosppy.signals.eda | biosppy.signals.eda.eda()

Example EDA signal plot.

Quick Usage with `biosppy.signals.eda.eda()`¶

import numpy as np
from biosppy.signals import eda

signal = np.loadtxt("examples/eda.txt")

out = eda.eda(signal=signal, sampling_rate=1000.0, show=False)
print(out.keys())

Inputs

signal: raw EDA/skin conductance signal.
sampling_rate: acquisition frequency in Hz.
min_amplitude / size: optional parameters for SCR-related detection.

Outputs

A ReturnTuple with EDA processing results such as filtered signal, onsets/peaks, and amplitude-related descriptors.
Use out.keys() to inspect all returned fields.

Example of EDA summary plot:

Example EDA signal summary plot.