Seizure onset detection based on a Uni- or Multi-modal Intelligent Seizure Acquisition (UISA/MISA) system

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 3269-3272

  Conradsen, Isa ^a,b   Beniczky, Sándor ^a   Wolf, Peter ^a   Henriksen, Jonas ^b   Sams, Thomas ^b   Sorensen, Helge B D ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b DANISH EPILEPSY CENTRE   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC ALGORITHMS; DISCRETE WAVELETS; EPILEPTIC SEIZURES; EXTRACTING FEATURES; HEALTHY SUBJECTS; MOTION DATA; MULTI-MODAL; MULTI-MODAL APPROACH; MULTI-MODAL DATA; ONSET DETECTION; SEIZURE ONSET; SUPPORT VECTOR MACHINE ALGORITHM; SURFACE ELECTROMYOGRAPHY;

ALGORITHMS; FEATURE EXTRACTION; MODAL ANALYSIS;

DATA MINING;

ACTIMETRY; ADULT; ALGORITHM; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; EQUIPMENT; EVALUATION STUDY; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; PRESCHOOL CHILD; REPRODUCIBILITY; SEIZURE; SENSITIVITY AND SPECIFICITY;

ACTIGRAPHY; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHILD, PRESCHOOL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SEIZURES; SENSITIVITY AND SPECIFICITY;

EID: 78650847030     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5627218     Document Type: Conference Paper

References (7)

1. T. Nijsen, P. Cluitmans, P. Griep, and R. Aarts, "Short time Fourier and wavelet transform for accelerometric detection of myoclonic seizures," IEEE/EMBS Benelux, pp. 7-8, 2006.
2. K. Cuppens, L. Lagae, B. Ceulemans, S. Van Huffel, and B. Vanrumste, "Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: A first study.," in Conference proceedings: 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society., vol. 1, pp. 6608-6611, 2009.
3. I. Conradsen, S. Beniczky, P. Wolf, D. Terney, T. Sams, and H. Sorensen, "Multi-modal intelligent seizure acquisition (MISA) system-A new approach towards seizure detection based on full body motion measures.," in Conference proceedings:31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society., vol. 1, pp. 2591-2595, 2009.
4. J. Proakis and D. Manolakis, Digital signal processing: principles, algorithms, and applications. Macmillan Publishing Co., Inc. Indianapolis, IN, USA, 1992.
5. C. Yang, J. Yang, and J. Wang, "Margin calibration in SVM classimbalanced learning," Neurocomputing, 2009.
6. N. Cristianini and J. Shawe-Taylor, An introduction to support Vector Machines: and other kernel-based learning methods. Cambridge Univ Pr, 2000.
7. T. Joachims, "Learning to classify text using support vector machines: Methods, theory, and algorithms," Computational Linguistics, vol. 29, no. 4, pp. 656-664, 2002.