Abstract

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Title:: An algorithm based on multi-event fusion for sleep quality assessment

Author(s):: LI Chenyang1; 2; 3; YE Jilun1; ZHANG Xu1; ZHOU Jingjing1; TAN Xue1; YI Hongliang2; 3; GUAN Jian2; 3; 1. Department of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen 518060, China 2. Shanghai Sixth Peoples Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200233, China 3. Shanghai Key Laboratory of Sleep-Disordered Breathing, Shanghai 200233, China

Keywords:: Keywords: sleep quality assessment respiratory disturbance event cardiovascular event awakening response event sleep stage classification

Abstract:: Abstract: Based on human sleep-period respiratory disturbance events, cardiovascular events, awakening response events and the study on sleep stage classification, an analysis by multi-event fusion algorithm is conducted for sleep quality assessment. The evaluation and analysis of sleep stage classification and a series of sleep-period respiratory events showed that the proposed algorithm can effectively help sleep doctors to fully and effectively evaluate the sleep quality of patients with sleep disorders, and the relevant evaluation results can be used for subsequent diagnosis and treatment.