Identification of Breathing Patterns through EEG Signal Analysis Using Machine Learning

• Published in: Brain sciences Vol. 11; no. 3; p. 293
• Main Authors: Hong, Yong-Gi, Kim, Hang-Keun, Son, Young-Don, Kang, Chang-Ki
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.02.2021; MDPI
• Subjects: Algorithms; Brain research; breathing; Cognitive ability; Decision trees; Discriminant analysis; EEG; Electrocardiography; Electroencephalography; LDA; Learning algorithms; Machine learning; Memory; Mental task performance; Mouth; Nose; random forest; Respiration; Short term memory; Side effects; working memory task; LDA; random forest; working memory task; machine learning; breathing; EEG

This study was to investigate the changes in brain function due to lack of oxygen (O2) caused by mouth breathing, and to suggest a method to alleviate the side effects of mouth breathing on brain function through an additional O2 supply. For this purpose, we classified the breathing patterns accordi...