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Frequency-independent biological signal identification (FIBSI): A free program that simplifies intensive analysis of non-stationary time series data

2020-05-29

Abstract excerpt

Extracting biological signals from non-linear, dynamic and stochastic experimental data can be challenging, especially when the signal is non-stationary. Many currently available methods make assumptions about the data structure (e.g., signal is periodic, sufficient recording time) and modify the raw data in pre-processing using filters and/or transformations. With an agnostic approach to biological data analysis...

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Literature Corpus work
2766f095-1c54-56df-8c3f-bbee91c117cf
DOI
10.1101/2020.05.29.123042
Open publication

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Frequency-independent biological signal identification (FIBSI): A free program that simplifies intensive analysis of non-stationary time series dataDOI 10.1101/2020.05.29.123042
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