Adaptive segmentation and normalization of breathing acoustic data of subjects with obstructive sleep apnea

TIC-STH'09: 2009 IEEE Toronto International Conference - Science and Technology for Humanity

Volumn , Issue , 2009, Pages 279-284

  Alshaer, Hisham ^a,d   Fernie, Geoff R ^b   Sejdić, Ervin ^c,d   Bradley, T Douglas ^a,e  

^a Sleep Research Laboratory   (Canada)

^b TORONTO REHABILITATION INSTITUTE   (Canada)

^c University of Toronto   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

^e UNIVERSITY OF TORONTO   (Canada)

Author keywords

Acoustic analysis; Adaptive segmenation; Breath sounds; K means clustering; Sleep apnea

Indexed keywords

ACOUSTIC ANALYSIS; ACOUSTIC DATA; ADAPTIVE SEGMENTATION; AMPLITUDE VARIATIONS; BREATH SOUNDS; K-MEANS CLUSTERING; LONG TERM; OBSTRUCTIVE SLEEP APNEA; ORIGINAL SIGNAL; SLEEP APNEA;

ADAPTIVE ALGORITHMS; CLUSTER ANALYSIS; TECHNOLOGICAL FORECASTING; TEMPERATURE INDICATING CAMERAS; WATER SUPPLY SYSTEMS;

SLEEP RESEARCH;

EID: 77952700963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TIC-STH.2009.5444489     Document Type: Conference Paper

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