Welcome to BioSPPy
BioSPPy is a toolbox for biosignal processing written in Python.
The toolbox bundles together various signal processing and pattern
recognition methods geared torwards the analysis of biosignals.
Highlights:
Support for various biosignals: PPG, ECG, EDA, EEG, EMG, Respiration
Signal analysis primitives: filtering, frequency analysis
Clustering
Biometrics
Contents:
Installation
Installation can be easily done with pip:
$ pip install biosppy
Simple Example
The code below loads an ECG signal from the examples folder, filters
it, performs R-peak detection, and computes the instantaneous heart
rate.
import numpy as np
from biosppy.signals import ecg
# load raw ECG signal
signal = np.loadtxt('./examples/ecg.txt')
# process it and plot
out = ecg.ecg(signal=signal, sampling_rate=1000., show=True)