A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 22, Issue 3, 2014, Pages 603-612

  Sejdic, Ervin ^a   Lowry, Kristin A ^b   Bellanca, Jennica ^a   Redfern, Mark S ^a   Brach, Jennifer S ^c  

^a University of Pittsburgh   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Frequency domain; gait accelerometry; healthy older adults; Parkinson's disease; peripheral neuropathy; signal features; time domain; time frequency domain

Indexed keywords

FREQUENCY DOMAIN ANALYSIS; NEURODEGENERATIVE DISEASES; TOOLS; WALKING AIDS;

ACCELEROMETRY; FREQUENCY DOMAINS; OLDER ADULTS; PARKINSON'S DISEASE; PERIPHERAL NEUROPATHY; SIGNAL FEATURES; TIME DOMAIN; TIME FREQUENCY DOMAIN;

ACCELEROMETERS;

ACCELEROMETRY; AGED; ALGORITHM; BIOMECHANICS; ENTROPY; FEMALE; GAIT; HUMAN; MALE; NEUROLOGIC GAIT DISORDER; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; WALKING; WALKING DIFFICULTY;

ACCELEROMETRY; AGED; ALGORITHMS; BIOMECHANICAL PHENOMENA; ENTROPY; FEMALE; GAIT; GAIT DISORDERS, NEUROLOGIC; HUMANS; MALE; MOBILITY LIMITATION; SIGNAL PROCESSING, COMPUTER-ASSISTED; WALKING;

EID: 84900441702     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2013.2265887     Document Type: Article

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