Validation of inter-subject training for hidden markov models applied to gait phase detection in children with Cerebral Palsy

Sensors (Switzerland)

Volumn 15, Issue 9, 2015, Pages 24514-24529

  Taborri, Juri ^a   Scalona, Emilia ^a   Palermo, Eduardo ^a   Rossi, Stefano ^b   Cappa, Paolo ^a,c  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF TUSCIA   (Italy)

^c Movement Analysis and Robotics Laboratory   (Italy)

Author keywords

Cerebral palsy; Gait phase partitioning; Hidden Markov model; Inertial measurement units; Inter subject training; Pediatric subjects; Wearable sensor system

Indexed keywords

DATA HANDLING; DIGITAL STORAGE; DISEASES; MARKOV PROCESSES; PATTERN RECOGNITION; PEDIATRICS; TRELLIS CODES; UNITS OF MEASUREMENT;

CEREBRAL PALSY; GAIT-PHASE; INERTIAL MEASUREMENT UNIT; PEDIATRIC SUBJECTS; WEARABLE SENSOR SYSTEMS;

HIDDEN MARKOV MODELS;

AMBULATORY MONITORING; CEREBRAL PALSY; CHILD; DEVICES; GAIT; HUMAN; MARKOV CHAIN; PATHOPHYSIOLOGY; PHYSIOLOGY; REPRODUCIBILITY; STATISTICS; VALIDATION STUDY;

CEREBRAL PALSY; CHILD; GAIT; HUMANS; MARKOV CHAINS; MONITORING, AMBULATORY; REPRODUCIBILITY OF RESULTS; STATISTICS AS TOPIC;

EID: 84942280120     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150924514     Document Type: Article

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