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 Publications Standard Articles 1 Publication describing the Software Year