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pyphysio: A physiological signal processing library for data science approaches in physiology

机译: pyphysio :用于生理数据科学方法的生理信号处理库

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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 introducepyphysioas a step towards a data science approach oriented to compute physiological indicators, in particular of the Autonomic Nervous System activity.pyphysioserves 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.
机译:缺乏用于生理信号处理的开源工具阻碍了生理学标准化管道的发展。研究人员通常必须依靠商业软件,该软件通过实施黑盒算法来破坏对分析的控制,并阻止结果的比较,最终影响科学的可重复性。我们介绍了pyphysioas,这是朝着旨在计算生理指标(特别是自主神经系统活动)的数据科学方法迈出的一步.pyphysioserves作为机器学习模块的基础,并且实现了一套可组合算法来处理可穿戴设备或医疗设备的信号品质的设备。

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