메뉴 건너뛰기




Volumn 107, Issue 2, 2012, Pages 97-110

Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data

Author keywords

Epilepsy; Movement sensors; Seizure detection; Support vector machine learning; Surface EMG sensors; Wavelet packet

Indexed keywords

EPILEPSY; MOVEMENT SENSORS; SEIZURE DETECTION; SURFACE EMG; WAVELET PACKET;

EID: 84861996098     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.06.005     Document Type: Article
Times cited : (40)

References (21)
  • 1
    • 70350070741 scopus 로고    scopus 로고
    • Sudden unexpected death in epilepsy (SUDEP): update and reflections
    • Nashef L., Ryvlin P. Sudden unexpected death in epilepsy (SUDEP): update and reflections. Neurologic Clinics 2009, 27(4):1063-1074.
    • (2009) Neurologic Clinics , vol.27 , Issue.4 , pp. 1063-1074
    • Nashef, L.1    Ryvlin, P.2
  • 2
    • 59749092844 scopus 로고    scopus 로고
    • A review of sudden unexpected death in epilepsy: prediction of patients at risk
    • Hughes J.R. A review of sudden unexpected death in epilepsy: prediction of patients at risk. Epilepsy and Behavior 2009, 14(2):280-287.
    • (2009) Epilepsy and Behavior , vol.14 , Issue.2 , pp. 280-287
    • Hughes, J.R.1
  • 4
    • 37649022335 scopus 로고    scopus 로고
    • Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings
    • Schad A., Schindler K., Schelter B., Maiwald T., Brandt A., Timmer J., Schulze-Bonhage A. Application of a multivariate seizure detection and prediction method to non-invasive and intracranial long-term EEG recordings. Clinical Neurophysiology 2008, 119(1):197-211.
    • (2008) Clinical Neurophysiology , vol.119 , Issue.1 , pp. 197-211
    • Schad, A.1    Schindler, K.2    Schelter, B.3    Maiwald, T.4    Brandt, A.5    Timmer, J.6    Schulze-Bonhage, A.7
  • 5
    • 56349116249 scopus 로고    scopus 로고
    • Automated seizure onset detection for accurate onset time determination in intracranial EEG
    • Chan A.M., Sun F.T., Boto E.H., Wingeier B.M. Automated seizure onset detection for accurate onset time determination in intracranial EEG. Clinical Neurophysiology 2008, 119(12):2687-2696.
    • (2008) Clinical Neurophysiology , vol.119 , Issue.12 , pp. 2687-2696
    • Chan, A.M.1    Sun, F.T.2    Boto, E.H.3    Wingeier, B.M.4
  • 6
    • 0036095842 scopus 로고    scopus 로고
    • Movement quantification in epileptic seizures: a new approach to video-EEG analysis
    • Li Z., da Silva A.M., Cunha J.P.S. Movement quantification in epileptic seizures: a new approach to video-EEG analysis. IEEE Transactions on Biomedical Engineering 2002, 49(6):565-573.
    • (2002) IEEE Transactions on Biomedical Engineering , vol.49 , Issue.6 , pp. 565-573
    • Li, Z.1    da Silva, A.M.2    Cunha, J.P.S.3
  • 7
    • 22144470484 scopus 로고    scopus 로고
    • The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy
    • Nijsen T.M.E., Arends J.B.A.M., Griep P.A.M., Cluitmans P.J.M. The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy. Epilepsy and Behavior 2005, 7(1):74-84.
    • (2005) Epilepsy and Behavior , vol.7 , Issue.1 , pp. 74-84
    • Nijsen, T.M.E.1    Arends, J.B.A.M.2    Griep, P.A.M.3    Cluitmans, P.J.M.4
  • 14
    • 84861966112 scopus 로고    scopus 로고
    • Xsens, P.O. Box 559, 7500 an Enschede, The Netherlands
    • Xsens, P.O. Box 559, 7500 an Enschede, The Netherlands, http://www.xsens.com/.
  • 16
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989, 11(7):674-693.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 17
    • 33751396389 scopus 로고    scopus 로고
    • EEG signal classification using wavelet feature extraction and a mixture of expert model
    • Subasi A. EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Systems with Applications 2007, 32:1084-1093.
    • (2007) Expert Systems with Applications , vol.32 , pp. 1084-1093
    • Subasi, A.1
  • 18
    • 70350728414 scopus 로고    scopus 로고
    • Margin calibration in SVM class-imbalanced learning
    • Yang C.Y., Yang S., Wang J.J. Margin calibration in SVM class-imbalanced learning. Neurocomputing 2009, 73(1-3):397-411.
    • (2009) Neurocomputing , vol.73 , Issue.1-3 , pp. 397-411
    • Yang, C.Y.1    Yang, S.2    Wang, J.J.3
  • 19
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges C.J.C. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 1998, 2(2):121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 20
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C., Vapnik V. Support-vector networks. Machine Learning 1995, 20(3):273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 21
    • 78650848811 scopus 로고    scopus 로고
    • Learning to classify text using support vector machines: methods, theory, and algorithms
    • Joachims T. Learning to classify text using support vector machines: methods, theory, and algorithms. Computational Linguistics 2002, 29(4):656-664.
    • (2002) Computational Linguistics , vol.29 , Issue.4 , pp. 656-664
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.