Portable, non-invasive fall risk assessment in end stage renal disease patients on hemodialysis

Proceedings - Wireless Health 2010, WH'10

Volumn , Issue , 2010, Pages 84-93

  Lockhart, Thurmon E ^a   Barth, Adam T ^b   Zhang, Xiaoyue ^a   Songra, Rahul ^c   Abdel Rahman, Emaad ^b   Lach, John ^b  

^a State University   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Algorithms; Experimentation; Human Factors; J.3 Life and Medical Sciences : Health; Measurement

Indexed keywords

EARLY DETECTION; END STAGE RENAL DISEASE; END-STAGE RENAL DISEASE PATIENTS; EXPERIMENTATION; FALL PREVENTION; FALL RISK; GENERAL POPULATION; HUMAN FACTORS; HUMAN SUBJECTS; J.3 [LIFE AND MEDICAL SCIENCES]: HEALTH; MOBILITY PARAMETERS; MOTION CAPTURE; NON-INVASIVE; SIGNAL PROCESSING ALGORITHMS; STABILITY ASSESSMENT;

ACCIDENT PREVENTION; ALGORITHMS; DIALYSIS; DISEASES; EXPERIMENTS; HEALTH; HEALTH RISKS; HEMODIALYZERS; HUMAN ENGINEERING; PATIENT MONITORING; RATING; SIGNAL PROCESSING; SYSTEM STABILITY;

RISK ASSESSMENT;

EID: 79951667336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1921081.1921092     Document Type: Conference Paper

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