Harmonic analysis of biosignals
Contents
Harmonic analysis of biosignals#
Important
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We count on you to help us making it better by contributing even the tiniest improvements (a typo, a rephrasing to make things clearer, a comment to the code, a new option, etc.). Biotuner belongs to you. Make yourself part of the team!
Home#
Welcome to Biotuner’s documentation where you can learn about computational tools derived from music theory and neurophysiology to develop novel ways to analyze, but also use electrophysiological signals as a source of musical or visual composition.
See also
You can information on how to cite this documentation here.
The documentation covers installation instructions, the API, as well as notebooks that show you how to extract meaningful harmonic information from brain signals, and use the visualization methods of the toolbox. It is for scientists and artists alike.
It is constructed in an open-ended manner to allow for the addition of new methods and tools for extended signal support (e.g. cardiac signals and plant signals).
You can navigate to the different sections using the left panel.
Biotuner#
Python toolbox that incorporates tools from biological signal processing and musical theory to extract harmonic structures from biosignals.
Installation#
Create an environment with Python v3.8
conda create -n biotuner python=3.8
conda activate biotuner
pip install biotuner
Simple use case#
biotuning = biotuner(sf = 1000) #initialize the object
biotuning.peaks_extraction(data, peaks_function='FOOOF') #extract spectral peaks
biotuning.compute_peaks_metrics() #get consonance metrics for spectral peaks
Documentation#
