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pyphysio

swMATH ID: 39459
Software Authors: Bizzego A., Battisti A., Gabrieli G., Esposito G., Furlanello C.
Description: pyphysio: A physiological signal processing library for data science approaches in physiology. The lack of open-source tools for physiological signal processing hinders the development of standardized pipelines in physiology. Researchers usually must rely on commercial software that, by implementing black-box algorithms, undermines the control on the analysis and prevents the comparison of the results, ultimately affecting the scientific reproducibility. We introduce pyphysio as a step towards a data science approach oriented to compute physiological indicators, in particular of the Autonomic Nervous System activity. pyphysio serves as a basis for machine learning modules and it implements a suite of combinable algorithms for processing of signals from either by wearable or medical-grade quality devices.
Homepage: https://www.sciencedirect.com/science/article/pii/S2352711019301839
Source Code:  https://github.com/MPBA/pyphysio
Keywords: SoftwareX; Physiological signal processing; Psychophysiology; Autonomic indicators; Data science; Python
Related Software: SciPy; Python; pyvrft; System Identification Toolbox; eadf; R; Matlab; impulseest; Physiolyze; gHRV; cvxEDA; Ledalab; SCRalyze; Kubios HRV; PyEEG; ANSLAB; Matplotlib; NumPy
Cited in: 0 Documents

Standard Articles

1 Publication describing the Software Year
pyphysio: A physiological signal processing library for data science approaches in physiology Link
Bizzego A., Battisti A., Gabrieli G., Esposito G., Furlanello C.
2019