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@@ -31,7 +31,7 @@ for recording cardiac signals via electrocardiography (ECG) or photoplethysmogra
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(PPG), as well as both online and offline data analysis methods extracting cardiac
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features, synchronizing experimental stimuli with different phases of the heart,
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removing artefacts at different levels and generating plots for data quality check and
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publication. Systole is built on the top of Numpy [@harris:2020], Pandas [@reback2020pandas; mckinney-proc-scipy-2010] and Scipy [@SciPy:2020], and can use both
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publication. Systole is built on the top of Numpy [@harris:2020], Pandas [@reback2020pandas; @mckinney-proc-scipy-2010] and Scipy [@SciPy:2020], and can use both
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Matplotlib [@hunter:2007] and Bokeh [@bokeh] to generate visualisations. It is designed to build modular
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pipelines that can interface easily with other signal processing or heart rate
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variability toolboxes, with a focus on data quality checks. Several parts of the
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