Detection of epileptic convulsions from accelerometry signals through machine learning approach

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2014, Pages

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

^a UNIVERSITY OF LEUVEN   (Belgium)

^b IMinds   (Belgium)

^c ANTWERP UNIVERSITY HOSPITAL   (Belgium)

^d UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^e Epilepsy Center for Children and Youth Pulderbos   (Belgium)

^f Thomas More University College   (Belgium)

Author keywords

accelerometers; children; home monitoring; Seizure detection

Indexed keywords

ACCELEROMETERS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES;

AUTOMATIC ALGORITHMS; CHILDREN; CLINICAL ENVIRONMENTS; HOME MONITORING; LEAST SQUARES SUPPORT VECTOR MACHINES; LONG TERM MONITORING; MACHINE LEARNING APPROACHES; SEIZURE DETECTION;

LEARNING SYSTEMS;

EID: 84912567756     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2014.6958863     Document Type: Conference Paper

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