Title :
Automatic detection of apnea and EEG arousals for sleep apnea syndrome
Author :
Matsuoka, Genya ; Sugi, Takenao ; Kawana, Fusae ; Nakamura, Masatoshi
Author_Institution :
Dept. of Adv. Syst. Control Eng., Saga Univ., Saga, Japan
Abstract :
Sleep apnea/hypopnea syndrome (SAHS) is one of serious sleep disorders. EEG arousals due to the apnea hypopnea are frequently appeared in polysomnographic (PSG) record in patients with SAHS. In this study, the method for detecting EEG arousals and apnea interval in PSG record was proposed for supporting visual inspection to classify respiratory levels and EEG arousals. Two threshold values were established for classify the sleep apnea conditions and threshold values for detecting FFG arousals were then determined according to the results of apnea interval detection. Proposed automatic detection method will be an effective for diagnosis support system.
Keywords :
electroencephalography; medical signal detection; sleep; EEG arousals; automatic detection; diagnosis support system; hypopnea syndrome; polysomnographic record; respiratory levels; sleep apnea syndrome; sleep disorders; visual inspection; Electroencephalography; Sleep apnea; EEG arousals; Polysomnogram; Sleep Apnea Syndrome; automatic detection; visual inspection;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3
