Classifying obstructive sleep apnea using smartphones

Journal of Biomedical Informatics

Volumn 52, Issue , 2014, Pages 251-259

  Al Mardini, Mamoun ^a   Aloul, Fadi ^a   Sagahyroon, Assim ^a   Al Husseini, Luai ^b  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

^b Arab German Sleep Medicine   (Jordan)

Author keywords

Android; Obstructive sleep apnea; Oximeter; Physiological signals; Signal processing; Smartphones

Indexed keywords

ABILITY TESTING; DIAGNOSIS; MHEALTH; OXIMETERS; OXYGEN; PHYSIOLOGY; SLEEP RESEARCH; SMARTPHONES; USER INTERFACES;

ANDROID; BUILT-IN SENSORS; COMPUTATIONAL CAPABILITY; OBSTRUCTIVE SLEEP APNEA; PHYSIOLOGICAL SIGNALS; RESPIRATORY EFFORTS; SLEEP DISORDERS; USER FRIENDLY INTERFACE;

SIGNAL PROCESSING;

OXYGEN;

ADULT; APNEA; ARTICLE; BODY MOVEMENT; BODY POSTURE; BREATHING MECHANICS; BREATHING RATE; CALIBRATION; CARDIOVASCULAR DISEASE; CLINICAL ARTICLE; COGNITIVE DEFECT; DAYTIME SOMNOLENCE; FEMALE; GOLD STANDARD; HEALTH CARE; HEALTH CARE SYSTEM; HUMAN; MALE; MOBILE PHONE; OXYGEN DESATURATION; OXYGEN SATURATION; POLYSOMNOGRAPHY; SEXUAL FUNCTION; SIGNAL PROCESSING; SLEEP DISORDERED BREATHING; SLEEP TIME; SUDDEN INFANT DEATH SYNDROME; CLASSIFICATION; COMPUTER PROGRAM; DEVICES; OXIMETRY; PROCEDURES; SLEEP APNEA, OBSTRUCTIVE;

CELL PHONES; FEMALE; HUMANS; MALE; OXIMETRY; POLYSOMNOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA, OBSTRUCTIVE; SOFTWARE;

EID: 84919846594     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.07.004     Document Type: Article

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