Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea

Fuente: arXiv
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Autori principali: Manjunath, Shashank, Perea, Jose A., Sathyanarayana, Aarti
Natura: Preprint
Pubblicazione: 2023
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author Manjunath, Shashank
Perea, Jose A.
Sathyanarayana, Aarti
author_facet Manjunath, Shashank
Perea, Jose A.
Sathyanarayana, Aarti
contents Topological data analysis (TDA) is an emerging technique for biological signal processing. TDA leverages the invariant topological features of signals in a metric space for robust analysis of signals even in the presence of noise. In this paper, we leverage TDA on brain connectivity networks derived from electroencephalogram (EEG) signals to identify statistical differences between pediatric patients with obstructive sleep apnea (OSA) and pediatric patients without OSA. We leverage a large corpus of data, and show that TDA enables us to see a statistical difference between the brain dynamics of the two groups.
format Preprint
id arxiv_https___arxiv_org_abs_2304_14853
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea
Manjunath, Shashank
Perea, Jose A.
Sathyanarayana, Aarti
Algebraic Topology
Computational Geometry
Topological data analysis (TDA) is an emerging technique for biological signal processing. TDA leverages the invariant topological features of signals in a metric space for robust analysis of signals even in the presence of noise. In this paper, we leverage TDA on brain connectivity networks derived from electroencephalogram (EEG) signals to identify statistical differences between pediatric patients with obstructive sleep apnea (OSA) and pediatric patients without OSA. We leverage a large corpus of data, and show that TDA enables us to see a statistical difference between the brain dynamics of the two groups.
title Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea
topic Algebraic Topology
Computational Geometry
url https://arxiv.org/abs/2304.14853