Time-frequency analysis of accelerometry data for detection of myoclonic seizures

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 5, 2010, Pages 1197-1203

  Nijsen, Tamara M E ^a   Aarts, Ronald M ^a,b   Cluitmans, Pierre J M ^b   Griep, Paul A M ^c  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c EPILEPSY CENTER KEMPENHAEGHE   (Netherlands)

Author keywords

Accelerometry (ACM); model; seizure detection; time frequency analysis

Indexed keywords

ACCELEROMETRY; CONTINUOUS WAVELET TRANSFORMS; DAUBECHIES WAVELET; FALSE POSITIVE; LINEAR CLASSIFICATION; MATCHED WAVELET TRANSFORM; MODEL-BASED; PATIENT DATA; QUANTITATIVE RESULT; SEIZURE DETECTION; SHORT TIME FOURIER TRANSFORMS; TIME FREQUENCY; TIME FREQUENCY ANALYSIS; TIME-SCALE METHODS; WIGNER DISTRIBUTIONS;

ACCELEROMETERS; DISCRETE WAVELET TRANSFORMS; FOURIER TRANSFORMS; HOSPITAL DATA PROCESSING; PHYSIOLOGICAL MODELS; PROBABILITY DISTRIBUTIONS;

CLASSIFICATION (OF INFORMATION);

ACCELERATION; AMBULATORY MONITORING; ARM; ARTICLE; DISCRIMINANT ANALYSIS; FOURIER ANALYSIS; HUMAN; METHODOLOGY; MOVEMENT (PHYSIOLOGY); MYOCLONUS EPILEPSY; PHYSIOLOGY; SEIZURE; SIGNAL PROCESSING; STATISTICAL MODEL;

ACCELERATION; ARM; DISCRIMINANT ANALYSIS; EPILEPSIES, MYOCLONIC; FOURIER ANALYSIS; HUMANS; MODELS, STATISTICAL; MONITORING, AMBULATORY; MOVEMENT; SEIZURES; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77956382086     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2058123     Document Type: Article

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