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================
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- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/logo.png
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- :align: center
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+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/logo.png
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+ :align: center
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================
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@@ -128,8 +128,8 @@ The package integrates a set of functions for interactive or non interactive dat
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plot_raw(signal[60000 : 120000 ], modality = " ecg" , backend = " bokeh" ,
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show_heart_rate = True , show_artefacts = True , figsize = 300 )
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- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/raw.png
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- :align: center
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+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/raw.png
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+ :align: center
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Artefacts detection and rejection
@@ -146,8 +146,8 @@ Artefacts can be detected and corrected in the RR interval time series or the pe
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plot_subspaces(peaks, input_type = " peaks" , backend = " bokeh" )
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- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/subspaces.png
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- :align: center
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+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/subspaces.png
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+ :align: center
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Heart rate variability analysis
@@ -164,8 +164,8 @@ Systole implements time-domain, frequency-domain and non-linear HRV indices, as
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plot_pointcare(peaks, input_type = " peaks" , backend = " bokeh" , figsize = (200 , 200 )),
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)
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- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/hrv.png
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- :align: center
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+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/hrv.png
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+ :align: center
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Online systolic peak detection, cardiac-stimulus synchrony, and cardiac circular analysis
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