Art

J-GLOBAL ID：201702250029319601   Reference number：17A0025789

An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals

ECG信号からの識別隠れマルコフモデルを用いた閉塞性睡眠時無呼吸検出手法

Author (5)： Song Changyue (Department of Industrial and Systems Engineering, College of Engineering) ,  Liu Kaibo (Department of Industrial and Systems Engineering, College of Engineering) ,  Zhang Xi (Department of Industrial Engineering and Management, College of Engineering, Beijing, China) ,  Chen Lili (Department of Industrial Engineering and Management, College of Engineering) ,  Xian Xiaochen (Department of Industrial and Systems Engineering, College of Engineering)
Material： IEEE Transactions on Biomedical Engineering  (IEEE Trans Biomed Eng)
Volume： 63  Issue： 7  Page： 1532-1542  Publication year： 2016 
JST Material Number： C0236A  ISSN： 0018-9294  CODEN： IEBEAX  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Thesaurus term： *electrocardiogram ,  *hidden Markov model ,  *sleep apnea syndrome ,  sleep disorder ,  polysomnography ,  biological signal ,  *feature extraction ,  computer ,  *time dependence
Semi thesaurus term： *ECG signal ,  polysomnography ,  physiological signals ,  sorter ,  *Sleep Apnea, Obstructive

JST classification (2)： Biometry  (EL03020C) ,  Neurologic diagnosis  (GN02000H)

Terms in the title (5)： ECG信号 ,  識別 ,  隠れマルコフモデル ,  閉塞性睡眠時無呼吸 ,  手法