A Natural Walking Monitor for Pulmonary Patients Using Mobile Phones

IEEE Journal of Biomedical and Health Informatics

Volumn 19, Issue 4, 2015, Pages 1399-1405

  Juen, Joshua ^a   Cheng, Qian ^b   Schatz, Bruce ^c  

^a University of Illinois at Urbana Champaign   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Chronic Obstructive Pulmonary Disease; Gait Analysis; Health Monitors; Natural Walking

Indexed keywords

ERRORS; GAIT ANALYSIS; LEARNING SYSTEMS; MHEALTH; MIDDLEWARE; PULMONARY DISEASES; SMARTPHONES; SPEED; SUPPORT VECTOR MACHINES;

CHRONIC OBSTRUCTIVE PULMONARY DISEASE; CONGESTIVE HEART FAILURES; CURRENT GENERATION; DISTANCE ESTIMATION; MACHINE LEARNING METHODS; MIDDLEWARE SOFTWARES; NATURAL WALKING; SUPPORT VECTOR MACHINE MODELS;

WALKING AIDS;

ADOLESCENT; ADULT; AGED; AMBULATORY MONITORING; CHRONIC OBSTRUCTIVE LUNG DISEASE; DEVICES; EXERCISE TEST; FEMALE; GAIT; HUMAN; MALE; MIDDLE AGED; MOBILE PHONE; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; VERY ELDERLY; WALKING; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CELL PHONES; EXERCISE TEST; FEMALE; GAIT; HUMANS; MALE; MIDDLE AGED; MONITORING, AMBULATORY; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; WALKING; YOUNG ADULT;

EID: 84938274245     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2015.2427511     Document Type: Article

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