pyBOAT - A Biological Oscillations Analysis Toolkit

Tools for time-frequency analysis of noisy time series. More details can be found in the accompanying manuscript Optimal time frequency analysis for biological data - pyBOAT. For help, questions or comments please join the official chat on gitter or write an email to gregor.moenke@esi-frankfurt.de.

pyBOAT features a multi-layered graphical user interface. Here an example screenshot showing the DataViewer(left), where preprocessing of individual signals gets visualized, and the resulting Wavelet Spectrum with a ridge tracing the detected main oscillatory component with a $\sim$ 24h period (right):

Features

• x-platform GUI
• Optimal sinc filter
• Fourier analysis
• Wavelet analysis
• Ridge detection, phase and amplitude extraction
• Synthetic signal generator
• Ensemble statistics

See also the sister project SpyBoat for spatially resolved time-frequency analysis with wavelets.

Documentation

• Installation and Updates
• Quick Start

For the public API see the single signal demonstration and the ensemble statistics example. Consult the respective Python docstrings for further details.

Quick install via conda

conda install -c conda-forge pyboat