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Volumn 25, Issue 12, 2013, Pages 2854-2866

Online seizure prediction using an adaptive learning approach

Author keywords

Adaptive online seizure prediction; Reinforcement learning; Time series pattern recognition

Indexed keywords

ADAPTIVE LEARNING; ELECTRO-ENCEPHALOGRAM (EEG); NEAREST-NEIGHBORS; NEUROLOGICAL DISORDERS; PREDICTION HORIZON; PREDICTION SCHEMES; SEIZURE PREDICTION; TIME-SERIES PATTERN RECOGNITION;

EID: 84887869610     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2013.151     Document Type: Article
Times cited : (67)

References (52)
  • 1
    • 0345306183 scopus 로고    scopus 로고
    • How well can epileptic seizures be predicted? An evaluation of a nonlinear method
    • DOI 10.1093/brain/awg265
    • R. Aschenbrenner-Scheibe, T. Maiwald, M. Winterhalder, H. Voss, J. Timmer, and A. Schulze-Bonhage, "How Well Can Epileptic Seizures be Predicted? An Evaluation of a Nonlinear Method," Brain, vol. 126, pp. 2616-2626, 2003. (Pubitemid 37463081)
    • (2003) Brain , vol.126 , Issue.12 , pp. 2616-2626
    • Aschenbrenner-Scheibe, R.1    Maiwald, T.2    Winterhalder, M.3    Voss, H.U.4    Timmer, J.5    Schulze-Bonhage, A.6
  • 3
    • 61449214265 scopus 로고    scopus 로고
    • Novel optimization models for abnormal brain activity classification
    • W. Chaovalitwongse, Y. Fan, and R. Sachdeo, "Novel Optimization Models for Abnormal Brain Activity Classification," Operations Research, vol. 56, no. 6, pp. 1450-1460, 2008.
    • (2008) Operations Research , vol.56 , Issue.6 , pp. 1450-1460
    • Chaovalitwongse, W.1    Fan, Y.2    Sachdeo, R.3
  • 4
    • 40449126756 scopus 로고    scopus 로고
    • On the time series support vector machine using dynamic time warping kernel for brain activity classification
    • DOI 10.1007/s10559-008-0012-y
    • W. Chaovalitwongse and P. Pardalos, "On the Time Series Support Vector Machine Using Dynamic Time Warping Kernel for Brain Activity Classification," Cybernetics and Systems Analysis, vol. 44, no. 1, pp. 125-138, 2008. (Pubitemid 351344203)
    • (2008) Cybernetics and Systems Analysis , vol.44 , Issue.1 , pp. 125-138
    • Chaovalitwongse, W.A.1    Pardalos, P.M.2
  • 6
    • 33845312341 scopus 로고    scopus 로고
    • Electroencephalogram (EEG) time series classification: Applications in epilepsy
    • DOI 10.1007/s10479-006-0076-x, Operations Research in Medicine-Computing and Optimization in Medicine and Life Sciences
    • W. Chaovalitwongse, P. Pardalos, and O. Prokopyev, " Electroencephalogram (EEG) Time Series Classification: Applications in Epilepsy," Annals of Operations Research, vol. 148, no. 1, pp. 227-250, 2006. (Pubitemid 44878201)
    • (2006) Annals of Operations Research , vol.148 , Issue.1 , pp. 227-250
    • Chaovalitwongse, W.A.1    Prokopyev, O.A.2    Pardalos, P.M.3
  • 9
    • 13844299232 scopus 로고    scopus 로고
    • Integrating gene and protein expression data: Pattern analysis and profile mining
    • DOI 10.1016/j.ymeth.2004.08.021
    • B. Cox, T. Kislinger, and A. Emili, "Integrating Gene and Protein Expression Data: Pattern Analysis and Profile Mining," Methods, vol. 35, no. 3, pp. 303-314, 2005. (Pubitemid 40255595)
    • (2005) Methods , vol.35 , Issue.3 , pp. 303-314
    • Cox, B.1    Kislinger, T.2    Emili, A.3
  • 10
    • 85008008123 scopus 로고    scopus 로고
    • Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: A report of four patients
    • Aug
    • M. D'Alessandro, R. Esteller, G. Vachtsevanos, A. Hinson, J. Echauz, and B. Litt, "Epileptic Seizure Prediction Using Hybrid Feature Selection over Multiple Intracranial EEG Electrode Contacts: A Report of Four Patients," IEEE Trans. Biomedical Eng., vol. 50, no. 5, pp. 603-615, Aug. 2003.
    • (2003) IEEE Trans. Biomedical Eng. , vol.50 , Issue.5 , pp. 603-615
    • D'Alessandro, M.1    Esteller, R.2    Vachtsevanos, G.3    Hinson, A.4    Echauz, J.5    Litt, B.6
  • 12
    • 27544453543 scopus 로고    scopus 로고
    • Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection
    • DOI 10.1016/j.neuroimage.2005.08.009, PII S1053811905005914
    • C. Davatzikos, K. Ruparel, Y. Fan, D. Shen, M. Acharyya, J. Loughead, R. Gur, and D. Langleben, "Classifying Spatial Patterns of Brain Activity with Machine Learning Methods: Application to Lie Detection," NeuroImage, vol. 28, no. 3, pp. 663-668, 2005. (Pubitemid 41540374)
    • (2005) NeuroImage , vol.28 , Issue.3 , pp. 663-668
    • Davatzikos, C.1    Ruparel, K.2    Fan, Y.3    Shen, D.G.4    Acharyya, M.5    Loughead, J.W.6    Gur, R.C.7    Langleben, D.D.8
  • 14
    • 38649142135 scopus 로고    scopus 로고
    • Learning CPG-based biped locomotion with a policy gradient method: Application to a humanoid robot
    • DOI 10.1177/0278364907084980
    • G. Endo, J. Morimoto, T. Matsubara, J. Nakanishi, and G. Cheng, "Learning CPG-Based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot," The Int'l J. Robotics Research, vol. 27, no. 2, pp. 213-228, 2008. (Pubitemid 351169715)
    • (2008) International Journal of Robotics Research , vol.27 , Issue.2 , pp. 213-228
    • Endo, G.1    Morimoto, J.2    Matsubara, T.3    Nakanishi, J.4    Cheng, G.5
  • 18
    • 34250168707 scopus 로고    scopus 로고
    • Strategies for adapting automated seizure detection algorithms
    • DOI 10.1016/j.medengphy.2006.10.003, PII S1350453306002062
    • S. Haas, M. Frei, and I. Osorio, "Strategies for Adapting Automated Seizure Detection Algorithms," Medical Eng. and Physics, vol. 29, no. 8, pp. 895-909, 2007. (Pubitemid 46898908)
    • (2007) Medical Engineering and Physics , vol.29 , Issue.8 , pp. 895-909
    • Haas, S.M.1    Frei, M.G.2    Osorio, I.3
  • 21
    • 1242349879 scopus 로고
    • Long time scale spatio-temporal patterns of entrainment in preictal ECoG data in human temporal lobe epilepsy
    • L. Iasemidis and J. Sackellares, "Long Time Scale Spatio-Temporal Patterns of Entrainment in Preictal ECoG Data in Human Temporal Lobe Epilepsy," Epilepsia, vol. 31, p. 621, 1990.
    • (1990) Epilepsia , vol.31 , pp. 621
    • Iasemidis, L.1    Sackellares, J.2
  • 26
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • S. Kotsiantis, "Supervised Machine Learning: A Review of Classification Techniques," Informatica J., vol. 31, pp. 249-268, 2007. (Pubitemid 350208045)
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.B.1
  • 27
    • 0021028374 scopus 로고
    • Temporo-spatial patterns of pre-ictal spike activity in human temporal lobe epilepsy
    • DOI 10.1016/0013-4694(83)90022-6
    • H. Lange, J. Lieb, J. Engel, and P. Crandall, "Temporo-Spatial Patterns of Preictal Spike Activity in Human Temporal Lobe Epilepsy," Electroencephalography and Clinical Neurophysiology, vol. 56, pp. 543-555, 1983. (Pubitemid 14218271)
    • (1983) Electroencephalography and Clinical Neurophysiology , vol.56 , Issue.6 , pp. 543-555
    • Lange, H.H.1    Lieb, J.P.2    Engel Jr., J.3    Crandall, P.H.4
  • 29
    • 0001649501 scopus 로고    scopus 로고
    • Can epileptic seizures be predicted? Evidence from nonlinear time series analysis of brain electrical activity
    • K. Lehnertz and C. Elger, "Can Epileptic Seizures be Predicted? Evidence from Nonlinear Time Series Analysis of Brain Electrical Activity," Physics Rev. Letters, vol. 80, pp. 5019-5022, 1998. (Pubitemid 128622127)
    • (1998) Physical Review Letters , vol.80 , Issue.22 , pp. 5019-5022
    • Lehnertz, K.1    Elger, C.E.2
  • 30
    • 13844276623 scopus 로고    scopus 로고
    • The First International Collaborative Workshop on Seizure Prediction: Summary and data description
    • DOI 10.1016/j.clinph.2004.08.020
    • K. Lehnertz and B. Litt, "The First International Collaborative Workshop Seizure Prediction: Summary and Data Description," Clinical Neurophysiology, vol. 116, no. 3, pp. 493-505, 2005. (Pubitemid 40249817)
    • (2005) Clinical Neurophysiology , vol.116 , Issue.3 , pp. 493-505
    • Lehnertz, K.1    Litt, B.2
  • 31
    • 4444234496 scopus 로고    scopus 로고
    • Data mining techniques for cancer detection using serum proteomic profiling
    • DOI 10.1016/j.artmed.2004.03.006, PII S0933365704000545
    • L. Li, H. Tang, Z. Wu, J. Gong, M. Gruidl, J. Zou, M. Tockman, and R. Clark, "Data Mining Techniques for Cancer Detection Using Serum Proteomic Profiling," Artificial Intelligence in Medicine, vol. 32, pp. 71-83, 2004. (Pubitemid 39201347)
    • (2004) Artificial Intelligence in Medicine , vol.32 , Issue.2 , pp. 71-83
    • Li, L.1    Tang, H.2    Wu, Z.3    Gong, J.4    Gruidl, M.5    Zou, J.6    Tockman, M.7    Clark, R.A.8
  • 33
    • 33846638294 scopus 로고    scopus 로고
    • Seizure prediction: The long and winding road
    • DOI 10.1093/brain/awl241
    • F. Mormann, R. Andrzejak, C. Elger, and K. Lehnertz, "Seizure Prediction: The Long and Winding Road," Brain, vol. 130, no. 2, pp. 314-333, 2007. (Pubitemid 46181087)
    • (2007) Brain , vol.130 , Issue.2 , pp. 314-333
    • Mormann, F.1    Andrzejak, R.G.2    Elger, C.E.3    Lehnertz, K.4
  • 34
    • 0012919544 scopus 로고    scopus 로고
    • Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients
    • F. Mormann, R. Andrzejak, T. Kreuz, C. Rieke, P. David, C. Elger, and K. Lehnertz, "Automated Detection of a Preseizure State Based on a Decrease in Synchronization in Intracranial Electroencephalogram Recordings from Epilepsy Patients," Physical Rev. E, vol. 67, p. 021912, 2003.
    • (2003) Physical Rev. E , vol.67 , pp. 021912
    • Mormann, F.1    Andrzejak, R.2    Kreuz, T.3    Rieke, C.4    David, P.5    Elger, C.6    Lehnertz, K.7
  • 36
    • 0031748494 scopus 로고    scopus 로고
    • Real-time automated detection and quantitative analysis of seizures and short-term prediction of clinical onset
    • DOI 10.1111/j.1528-1157.1998.tb01430.x
    • I. Osorio, M.G. Frei, and S.B. Wilkinson, "Real-Time Automated Detection and Quantitative Analysis of Seizures and Short-Term Prediction of Clinical Onset," Epilepsia, vol. 39, no. 6, pp. 615-627, 1998. (Pubitemid 28265429)
    • (1998) Epilepsia , vol.39 , Issue.6 , pp. 615-627
    • Osorio, I.1    Frei, M.G.2    Wilkinson, S.B.3
  • 37
    • 0036066707 scopus 로고    scopus 로고
    • Risk of extremity fractures in adult outpatients with epilepsy
    • DOI 10.1046/j.1528-1157.2002.15801.x
    • H. Persson, K. Alberts, B. Farahmand, and T. Tomson, "Risk of Extremity Fractures in Adult Outpatients with Epilepsy," Epilepsia, vol. 43, no. 7, pp. 768-772, 2002. (Pubitemid 34774261)
    • (2002) Epilepsia , vol.43 , Issue.7 , pp. 768-772
    • Persson, H.B.I.1    Alberts, K.A.2    Farahmand, B.Y.3    Tomson, T.4
  • 40
    • 13844253756 scopus 로고    scopus 로고
    • Preictal state identification by synchronization changes in long-term intracranial EEG recordings
    • DOI 10.1016/j.clinph.2004.10.014
    • M. Quyen, J. Soss, V. Navarro, R. Robertson, M. Chavez, M. Baulac, and J. Martinerie, "Preictal State Identification by Synchronization Changes in Long-Term Intracranial EEG Recordings," Clinical Neurophysiology, vol. 116, pp. 559-568, 2005. (Pubitemid 40249824)
    • (2005) Clinical Neurophysiology , vol.116 , Issue.3 , pp. 559-568
    • Le Van Quyen, M.1    Soss, J.2    Navarro, V.3    Robertson, R.4    Chavez, M.5    Baulac, M.6    Martinerie, J.7
  • 42
    • 74149086290 scopus 로고    scopus 로고
    • Real-time seizure prediction from local field potentials using an adaptive wiener algorithm
    • P. Rajdev, M. Ward, J. Rickus, R. Worth, and P. Irazoqui, "Real-Time Seizure Prediction from Local Field Potentials Using an Adaptive Wiener Algorithm," Computers in Biology and Medicine, vol. 40, no. 1, pp. 97-108, 2010.
    • (2010) Computers in Biology and Medicine , vol.40 , Issue.1 , pp. 97-108
    • Rajdev, P.1    Ward, M.2    Rickus, J.3    Worth, R.4    Irazoqui, P.5
  • 47
    • 77955398869 scopus 로고    scopus 로고
    • Dynamic time warping algorithm review
    • Information and Computer Science Departament, Univ. of Hawaii
    • P. Senin, "Dynamic Time Warping Algorithm Review," technical report, Information and Computer Science Departament, Univ. of Hawaii, 2008.
    • (2008) Technical Report
    • Senin, P.1
  • 49
    • 59649124353 scopus 로고    scopus 로고
    • The statistics of a practical seizure warning system
    • J.E
    • D. Snyder, J.E., D. Grimes, and B. Litt, "The Statistics of a Practical Seizure Warning System," J. Neural Eng., vol. 5, no. 4, p. 392, 2008.
    • (2008) J. Neural Eng. , vol.5 , Issue.4 , pp. 392
    • Snyder, D.1    Grimes, D.2    Litt, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.