ap-features 2022.3.0

Package to compute features of traces from action potential models

Action Potential features

ap_features is package for computing features of action potential traces. This includes chopping, background correction and feature calculations.

Parts of this library is written in C and numba and is therefore highly performant. This is useful if you want to do feature calculations on a large number of traces.

Install

Install the package with pip

python -m pip install ap_features

See installation instructions for more options.

Available features

The list of currently implemented features are as follows

• Action potential duration (APD)
• Corrected action potential duration (cAPD)
• Decay time (Time for the signal amplitude to go from maxium to (1 - a) * 100 % of maximum)
• Time to peak (ttp)
• Upstrok time (time from (1-a)*100 % signal amplitude to peak)
• Beating frequency
• APD up (The duration between first intersections of two APD lines)
• Maximum relative upstroke velocity
• Maximum upstroke velocity
• APD integral (integral of the signals above the APD line)

Documentation

Documentation is hosted at GitHub pages: https://computationalphysiology.github.io/ap_features/

Note that the documentation is written using jupyterbook and contains an interactive demo

License

• Free software: GNU General Public License v3

Source Code

• https://github.com/ComputationalPhysiology/ap_features