Towards automatic EEG cyclic alternating pattern analysis: a systematic review analysis: a systematic review

• Published in: Biomedical engineering letters pp. 273 - 291
• Main Authors: Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García, Ivana Rosenzweig
• Format: Journal Article
• Language: English
• Published: 대한의용생체공학회 01.08.2023
• Subjects: 의공학
• ISSN: 2093-9868; 2093-985X
• DOI: 10.1007/s13534-023-00303-w

This study conducted a systematic review to determine the feasibility of automatic Cyclic Alternating Pattern (CAP)analysis. Specifically, this review followed the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses(PRISMA) guidelines to address the formulated research question: is automatic CAP analysis viable for clinical application?From the identified 1,280 articles, the review included 35 studies that proposed various methods for examining CAP,including the classification of A phase, their subtypes, or the CAP cycles. Three main trends were observed over timeregarding A phase classification, starting with mathematical models or features classified with a tuned threshold, followedby using conventional machine learning models and, recently, deep learning models. Regarding the CAP cycle detection,it was observed that most studies employed a finite state machine to implement the CAP scoring rules, which depended onan initial A phase classifier, stressing the importance of developing suitable A phase detection models. The assessment ofA-phase subtypes has proven challenging due to various approaches used in the state-of-the-art for their detection, rangingfrom multiclass models to creating a model for each subtype. The review provided a positive answer to the main researchquestion, concluding that automatic CAP analysis can be reliably performed. The main recommended research agendainvolves validating the proposed methodologies on larger datasets, including more subjects with sleep-related disorders,and providing the source code for independent confirmation. KCI Citation Count: 0