CAP Sleep in Insomnia: New Methodological Aspects for Sleep Microstructure Analysis
Overview
Authors
Affiliations
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep microstructure, as expressed by Cyclic Alternatic pattern (CAP) sleep, is studied and differences between normal sleepers and insomniacs are investigated. The dynamic in the structure of CAP activation events is studied by use of wavelet analysis and the content of events, i.e. EEG dynamics, is studied in terms of complexity analysis. Both in structure and content, features exhibiting statistically significant differences are proposed, opening new perspectives for the understanding and the quantitative characterization of sleep and its disorders.
Towards automatic EEG cyclic alternating pattern analysis: a systematic review.
Mendonca F, Mostafa S, Morgado-Dias F, Ravelo-Garcia A, Rosenzweig I Biomed Eng Lett. 2023; 13(3):273-291.
PMID: 37519874 PMC: 10382419. DOI: 10.1007/s13534-023-00303-w.
Galbiati A, Sforza M, Fasiello E, Castronovo V, Ferini-Strambi L Nat Sci Sleep. 2019; 11:367-376.
PMID: 31819690 PMC: 6890191. DOI: 10.2147/NSS.S198812.
Christensen J, Wassing R, Wei Y, Ramautar J, Lakbila-Kamal O, Jennum P Front Neurosci. 2019; 13:598.
PMID: 31338014 PMC: 6629891. DOI: 10.3389/fnins.2019.00598.
A knowledge discovery methodology from EEG data for cyclic alternating pattern detection.
Machado F, Sales F, Santos C, Dourado A, Teixeira C Biomed Eng Online. 2018; 17(1):185.
PMID: 30563526 PMC: 6299667. DOI: 10.1186/s12938-018-0616-z.
Siddiqui M, Srivastava G, Saeed S Sleep Sci. 2017; 9(3):186-191.
PMID: 28123658 PMC: 5241612. DOI: 10.1016/j.slsci.2016.07.002.