Automated Detection of Tonic-Clonic Seizures Using 3-D Accelerometry and Surface Electromyography in Pediatric Patients

IEEE Journal of Biomedical and Health Informatics

Volumn 20, Issue 5, 2016, Pages 1333-1341

  Milosevic, Milica ^a   Van De Vel, Anouk ^b   Bonroy, Bert ^c   Ceulemans, Berten ^d,e   Lagae, Lieven ^d,f   Vanrumste, Bart ^a,c,f   Van Huffel, Sabine ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c Thomas More University College   (Belgium)

^d Rehabilitation Center for Children and Youth Pulderbos   (Belgium)

^e ANTWERP UNIVERSITY HOSPITAL   (Belgium)

^f UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Accelerometry; home monitoring; pattern recognition; seizure detection; surface electromyography (sEMG)

Indexed keywords

ACCELEROMETERS; LEARNING SYSTEMS; PEDIATRICS; SUPPORT VECTOR MACHINES;

ACCELEROMETRY; EPILEPTIC SEIZURE DETECTION; HOME MONITORING; LEAST SQUARES SUPPORT VECTOR MACHINES; MACHINE LEARNING TECHNIQUES; NUMBER OF FALSE ALARMS; SEIZURE DETECTION; SURFACE ELECTROMYOGRAPHY;

PATTERN RECOGNITION;

ACCELEROMETER; ACCELEROMETRY; ALGORITHM; ARTICLE; ELECTROMYOGRAPHY; FEATURE SELECTION; HOME MONITORING; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; PATTERN RECOGNITION; PEDIATRICS; SENSOR; SUPPORT VECTOR MACHINE; TONIC CLONIC SEIZURE; AUTOMATED PATTERN RECOGNITION; CHILD; PROCEDURES; SEIZURE; SIGNAL PROCESSING;

ACCELEROMETRY; CHILD; ELECTROMYOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84987753783     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2015.2462079     Document Type: Article

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