3131
3232================
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34- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/logo.png
35- :align: center
34+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/logo.png
35+ :align: center
3636
3737================
3838
@@ -128,8 +128,8 @@ The package integrates a set of functions for interactive or non interactive dat
128128 plot_raw(signal[60000 : 120000 ], modality = " ecg" , backend = " bokeh" ,
129129 show_heart_rate = True , show_artefacts = True , figsize = 300 )
130130
131- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/raw.png
132- :align: center
131+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/raw.png
132+ :align: center
133133
134134
135135Artefacts detection and rejection
@@ -146,8 +146,8 @@ Artefacts can be detected and corrected in the RR interval time series or the pe
146146
147147 plot_subspaces(peaks, input_type = " peaks" , backend = " bokeh" )
148148
149- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/subspaces.png
150- :align: center
149+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/subspaces.png
150+ :align: center
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152152
153153Heart rate variability analysis
@@ -164,8 +164,8 @@ Systole implements time-domain, frequency-domain and non-linear HRV indices, as
164164 plot_pointcare(peaks, input_type = " peaks" , backend = " bokeh" , figsize = (200 , 200 )),
165165 )
166166
167- .. figure :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/hrv.png
168- :align: center
167+ .. image :: https://github.com/embodied-computation-group/systole/blob/dev/source/images/hrv.png
168+ :align: center
169169
170170
171171Online systolic peak detection, cardiac-stimulus synchrony, and cardiac circular analysis
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