Pypsy¶
Pypsy is a library for the analysis of of psychophysiological data. Currently, Pypsy provides a suite of tools for the decomposition and analysis of electrodermal activity (EDA) signals. Much of this functionality is a port of the Ledalab software from the MATLAB programming language.
There are two main subpackages in Pypsy: Pypsy.signal and
Pypsy.optimization. The Pypsy.signal module contains
resources for representing a psychophysiological signal time series. The
Pypsy.optimization module contains facilities for optimization, used
primarily in decomposing EDA signals.
The most interesting class in Pypsy:, by far, is
EDASignal. This is the class to be used for
representing and decomposing EDA signals. The documentation of this class
demonstrates just how to do so in its examples.
Pypsy is being deceloped in conjunction with my own Ph.D. dissertation work. As such, it is very much a work in progress, and features and the overall architecture change often. If you are interested in using Pypsy, please feel free to do so. If in doing so, you find yourself needing help, please create an issue.
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