Nonconstrained sleep monitoring system and algorithms using air-mattress with balancing tube method

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 1, 2010, Pages 147-156

  Shin, Jae Hyuk ^a   Chee, Young Joon ^b   Jeong, Do Un ^c   Park, Kwang Suk ^a  

^a Seoul National University   (South Korea)

^b University of Ulsan   (South Korea)

^c Seoul National University College of Medicine   (South Korea)

Author keywords

Air mattress and balancing tube; Heartbeat; Noninvasive; Respiration; Sleep monitoring; Snoring detection

Indexed keywords

AIR CELLS; AUTOMATIC PROCESSING; BALANCING TUBE; BODY MOVEMENTS; BREATH-BY-BREATH; CORRELATION COEFFICIENT; DC COMPONENTS; DETECTION ALGORITHM; HEART RATES; HEARTBEAT; HOME HEALTHCARE; MEASURED SIGNALS; MONITORING SYSTEM; NON-CONSTRAINED; NONINVASIVE; PHYSIOLOGICAL SIGNALS; POSITIVE PREDICTIVE VALUES; PRESSURE DIFFERENCES; REFERENCE METHOD; RESPIRATION ACTIVITY; RESPIRATION RATE; SENSOR CELLS; SENSOR SYSTEMS; SLEEP APNEA; SLEEP APNEA EVENTS;

SENSORS; SIGNAL DETECTION; TUBES (COMPONENTS);

SLEEP RESEARCH;

ADULT; ALGORITHM; ARTICLE; BED; EQUIPMENT DESIGN; HEART RATE; HUMAN; INSTRUMENTATION; MALE; METHODOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; POLYSOMNOGRAPHY; PREDICTION AND FORECASTING; REPRODUCIBILITY; SIGNAL PROCESSING; SLEEP APNEA SYNDROME; STATISTICAL MODEL;

ADULT; ALGORITHMS; BEDS; EQUIPMENT DESIGN; HEART RATE; HUMANS; LINEAR MODELS; MALE; POLYSOMNOGRAPHY; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA SYNDROMES;

EID: 76849092725     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2034011     Document Type: Conference Paper

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