@@ -130,24 +130,30 @@ Methods from clipping correction and peak detection algorithm is adapted from [#
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.. figure :: https://github.com/embodied-computation-group/systole/raw/master/Images/recording.png
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:align: center
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- Artefact removal
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+ Artefact correction
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================
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Systole implements the artefact rejection method recently proposed by Lipponen & Tarvainen (2019) [# ]_.
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.. code-block :: python
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- from systole import import_rr()
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+ from systole import simulate_rr
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from systole.plotting import plot_subspaces
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- rr = import_rr().rr[:100 ]
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- rr[20 ] = 1600 # Add missed beat
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-
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+ rr = simulate_rr()
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plot_subspaces(rr)
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.. figure :: https://github.com/embodied-computation-group/systole/raw/master/Images/subspaces.png
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:align: center
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+ Interactive visualization
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+ =========================
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+
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+ Systole integrates a set of functions for interactive data visualization based on `Plotly <https://plotly.com/ >`_.
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+
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+ .. figure :: https://github.com/embodied-computation-group/systole/raw/master/Images/systole.gif
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+ :align: center
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+
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Heartrate variability
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======================
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@@ -157,7 +163,7 @@ All time-domain and non-linear indices have been tested against Kubios HVR 2.2 (
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.. code-block :: python
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- from systole.hrv import plot_psd
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+ from systole.plotting import plot_psd
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plot_psd(rr)
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@@ -171,6 +177,11 @@ This module was created and is maintained by Nicolas Legrand and Micah Allen (EC
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This program is provided with NO WARRANTY OF ANY KIND.
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+ Contributors
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+ ============
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+
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+ - Jan C. Brammer (jan.c.brammer@gmail.com)
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Acknowledgements
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================
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@@ -182,6 +193,8 @@ Systole was largely inspired by pre-existing toolboxes dedicated to heartrate va
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* hrv: https://github.com/rhenanbartels/hrv
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+ * pyHVR: https://pyhrv.readthedocs.io/en/latest/index.html
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* ECG-detector: https://github.com/berndporr/py-ecg-detectors
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* Pingouin: https://pingouin-stats.org/
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