Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity.

Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity.

Numerous physiological processes are cyclical, but sampling these processes densely enough to perform frequency decomposition and subsequent analyses can be challenging. Mathematical approaches for decomposition and reconstruction of sparsely and irregularly sampled signals are well established but...

Full description

Saved in:
Bibliographic Details
Main Authors: Irena Balzekas, Joshua Trzasko, Grace Yu, Thomas J Richner, Filip Mivalt, Vladimir Sladky, Nicholas M Gregg, Jamie Van Gompel, Kai Miller, Paul E Croarkin, Vaclav Kremen, Gregory A Worrell
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011152
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1371/journal.pcbi.1011152

Similar Items