An optical flow-based method to predict infantile cerebral palsy

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 20, Issue 4, 2012, Pages 605-614

  Stahl, Annette ^a   Schellewald, Christian ^b   Stavdahl, Øyvind ^a   Aamo, Ole Morten ^a   Adde, Lars ^c,d   Kirkerod, Harald ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b Norwegian University of Science and Technology ^*

^c NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^d TRONDHEIM UNIVERSITY HOSPITAL   (Norway)

Author keywords

Cerebral palsy (CP); optical flow; support vector machine (SVM); tracking; wavelet analysis

Indexed keywords

BRAIN DAMAGE; CEREBRAL PALSY; EARLY INTERVENTION; FLOW-BASED METHODS; MOTION INFORMATION; MOTION PATTERN; MOTION TRAJECTORIES; MOTOR IMPAIRMENTS; NONPROGRESSIVE; OPTICAL FLOW METHODS; REGULAR GRIDS; STATISTICAL PATTERN RECOGNITION; TOTAL VARIATION;

DISEASES; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; SURFACE DISCHARGES; VIDEO RECORDING; WAVELET ANALYSIS;

OPTICAL FLOWS;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CEREBRAL PALSY; EARLY DIAGNOSIS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMAN; INFANT; MALE; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PATHOPHYSIOLOGY; PRESCHOOL CHILD; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VIDEORECORDING;

ARTIFICIAL INTELLIGENCE; CEREBRAL PALSY; CHILD, PRESCHOOL; EARLY DIAGNOSIS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; INFANT; MALE; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VIDEO RECORDING;

EID: 84863748997     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2012.2195030     Document Type: Article

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