메뉴 건너뛰기




Volumn 4, Issue 3, 2010, Pages 233-240

Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn

Author keywords

Approximate entropy; Discrete wavelet transform; EEG; Epileptiform activity; Factor analysis; Principal component analysis

Indexed keywords

ALGORITHM; APPROXIMATE ENTROPY; ARTICLE; ELECTROENCEPHALOGRAM; ENTROPY; EPILEPTIC DISCHARGE; FACTORIAL ANALYSIS; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; THEORY; VELOCITY; WAVEFORM;

EID: 77956058522     PISSN: 18714080     EISSN: 18714099     Source Type: Journal    
DOI: 10.1007/s11571-010-9120-2     Document Type: Article
Times cited : (54)

References (32)
  • 1
    • 53149129792 scopus 로고    scopus 로고
    • Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients
    • 10.1007/s11517-008-0392-1 18784948
    • D Abásolo J Escudero R Hornero C Gómez P Espino 2008 Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients Med Biol Eng Comput 46 1019 1028 10.1007/s11517-008-0392-1 18784948
    • (2008) Med Biol Eng Comput , vol.46 , pp. 1019-1028
    • Abásolo, D.1    Escudero, J.2    Hornero, R.3    Gómez, C.4    Espino, P.5
  • 3
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • 10.1016/S0165-0270(02)00340-0 12581851
    • H Adeli Z Zhou N Dadmehr 2003 Analysis of EEG records in an epileptic patient using wavelet transform J Neurosci Methods 123 69 87 10.1016/S0165-0270(02)00340-0 12581851
    • (2003) J Neurosci Methods , vol.123 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 4
    • 33746913071 scopus 로고    scopus 로고
    • SADE3: An effective system for automated detection of epileptiform events in long-term EEG based on context information
    • 10.1007/s11517-006-0056-y 16937197
    • F Argoud F De Azevedo J Neto E Grillo 2006 SADE3: an effective system for automated detection of epileptiform events in long-term EEG based on context information Med Biol Eng Comput 44 459 470 10.1007/s11517-006-0056-y 16937197
    • (2006) Med Biol Eng Comput , vol.44 , pp. 459-470
    • Argoud, F.1    De Azevedo, F.2    Neto, J.3    Grillo, E.4
  • 5
    • 0342980314 scopus 로고    scopus 로고
    • Approximate Entropy as an Electroencephalographic Measure of Anesthetic Drug Effect during Desflurane Anesthesia
    • 10.1097/00000542-200003000-00016 1:CAS:528:DC%2BD3cXitVCrt78%3D 10719951
    • J Bruhn H Röpcke A Hoeft 2000 Approximate Entropy as an Electroencephalographic Measure of Anesthetic Drug Effect during Desflurane Anesthesia Anesthesiology 92 715 726 10.1097/00000542-200003000-00016 1:CAS:528:DC%2BD3cXitVCrt78%3D 10719951
    • (2000) Anesthesiology , vol.92 , pp. 715-726
    • Bruhn, J.1    Röpcke, H.2    Hoeft, A.3
  • 6
    • 0033779447 scopus 로고    scopus 로고
    • Electroencephalogram Approximate Entropy Correctly Classifies the Occurrence of Burst Suppression Pattern as Increasing Anesthetic Drug Effect
    • 10.1097/00000542-200010000-00018 1:CAS:528:DC%2BD3cXnsFGjsbk%3D 11020750
    • J Bruhn H Röpcke B Rehberg T Bouillon A Hoeft 2000 Electroencephalogram Approximate Entropy Correctly Classifies the Occurrence of Burst Suppression Pattern as Increasing Anesthetic Drug Effect Anesthesiology 93 981 985 10.1097/00000542-200010000-00018 1:CAS:528:DC%2BD3cXnsFGjsbk%3D 11020750
    • (2000) Anesthesiology , vol.93 , pp. 981-985
    • Bruhn, J.1    Röpcke, H.2    Rehberg, B.3    Bouillon, T.4    Hoeft, A.5
  • 7
    • 34047161903 scopus 로고    scopus 로고
    • ECG modeling and QRS detection using principal component analysis
    • paper no. 04, MEDSIP06, Glasgow, UK
    • Chawla M, Verma H, Vinod K (2006) ECG modeling and QRS detection using principal component analysis. In Proceedings of IET international conference, paper no. 04, MEDSIP06, Glasgow, UK
    • (2006) Proceedings of IET International Conference
    • Chawla, M.1    Verma, H.2    Vinod, K.3
  • 8
    • 34547663323 scopus 로고    scopus 로고
    • Denoising based on time-shift PCA
    • 10.1016/j.jneumeth.2007.06.003 17624443
    • A de Cheveigné JZ Simon 2007 Denoising based on time-shift PCA J Neurosci Methods 165 297 305 10.1016/j.jneumeth.2007.06.003 17624443
    • (2007) J Neurosci Methods , vol.165 , pp. 297-305
    • De Cheveigné, A.1    Simon, J.Z.2
  • 9
    • 37049007663 scopus 로고    scopus 로고
    • Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines
    • 10.1016/j.compbiomed.2007.06.002 17651716
    • E Derya Übeyli 2008 Analysis of EEG signals by combining eigenvector methods and multiclass support vector machines Comput Biol Med 38 14 22 10.1016/j.compbiomed.2007.06.002 17651716
    • (2008) Comput Biol Med , vol.38 , pp. 14-22
    • Derya Übeyli, E.1
  • 10
    • 0035889617 scopus 로고    scopus 로고
    • Nonlinear structures in electroencephalogram signals
    • 10.1016/S0378-4371(01)00352-1
    • L Diambra CP Malta A Capurro J Fernández 2001 Nonlinear structures in electroencephalogram signals Physica A 300 505 520 10.1016/S0378-4371(01) 00352-1
    • (2001) Physica A , vol.300 , pp. 505-520
    • Diambra, L.1    Malta, C.P.2    Capurro, A.3    Fernández, J.4
  • 11
    • 0027731517 scopus 로고
    • A multi-stage system to detect epileptiform activity in the EEG
    • 10.1109/10.250582 1:STN:280:DyaK2c7ntFamug%3D%3D 8125502
    • AA Dingle RD Jones GJ Carroll WR Fright 1993 A multi-stage system to detect epileptiform activity in the EEG IEEE Trans Biomed Eng 40 12 1260 1268 10.1109/10.250582 1:STN:280:DyaK2c7ntFamug%3D%3D 8125502
    • (1993) IEEE Trans Biomed Eng , vol.40 , Issue.12 , pp. 1260-1268
    • Dingle, A.A.1    Jones, R.D.2    Carroll, G.J.3    Fright, W.R.4
  • 12
    • 0032962246 scopus 로고    scopus 로고
    • Automatic detection of seizures and spikes
    • 10.1097/00004691-199903000-00005 1:STN:280:DyaK1M3os1SmtQ%3D%3D 10359498
    • Jean Gotman 1999 Automatic detection of seizures and spikes J Clin Neurophysiol 16 2 130 140 10.1097/00004691-199903000-00005 1:STN:280: DyaK1M3os1SmtQ%3D%3D 10359498
    • (1999) J Clin Neurophysiol , vol.16 , Issue.2 , pp. 130-140
    • Jean, G.1
  • 13
    • 24144470790 scopus 로고    scopus 로고
    • Recurrent neural networks employing Lyapunov exponents for EEG signals classification
    • 10.1016/j.eswa.2005.04.011
    • NF Güler ED Übeyli I Güler 2005 Recurrent neural networks employing Lyapunov exponents for EEG signals classification Expert Syst Appl 29 506 514 10.1016/j.eswa.2005.04.011
    • (2005) Expert Syst Appl , vol.29 , pp. 506-514
    • Güler, N.F.1    Übeyli, E.D.2    Güler, I.3
  • 14
    • 0027199942 scopus 로고
    • An automated seizure monitoring system for patients with indwelling recording electrodes
    • 10.1016/0013-4694(93)90138-L 1:STN:280:DyaK3szgslWhug%3D%3D 7686477
    • GW Harding 1993 An automated seizure monitoring system for patients with indwelling recording electrodes Electroencephalogr Clin Neurophysiol 86 428 437 10.1016/0013-4694(93)90138-L 1:STN:280:DyaK3szgslWhug%3D%3D 7686477
    • (1993) Electroencephalogr Clin Neurophysiol , vol.86 , pp. 428-437
    • Harding, G.W.1
  • 15
    • 84958273843 scopus 로고    scopus 로고
    • Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis
    • Tampere, Finland
    • Hoey GV, Vanrumste B, Walle RVD,Boon P,Lemahieu I (2000) Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis. In Proceedings of the EUSIPCO2000 conference, Tampere, Finland
    • (2000) Proceedings of the EUSIPCO2000 Conference
    • Hoey, G.V.1    Vanrumste, B.2    Rvd, W.3    Boon, P.4    Lemahieu, I.5
  • 16
    • 0016128650 scopus 로고
    • A glossary of terms most commonly used by clinical electroencephalographers
    • IFSECN. 10.1016/0013-4694(74)90099-6
    • IFSECN 1974 A glossary of terms most commonly used by clinical electroencephalographers Electroencephalogr Clin Neurophysiol 37 538 548 10.1016/0013-4694(74)90099-6
    • (1974) Electroencephalogr Clin Neurophysiol , vol.37 , pp. 538-548
  • 17
    • 25144477526 scopus 로고    scopus 로고
    • Characterization of EEG-A comparative study
    • 10.1016/j.cmpb.2005.06.005 1:STN:280:DC%2BD2MrgvF2htw%3D%3D 16099533
    • N Kannathal UR Acharya CM Lim PK Sadasivan 2005 Characterization of EEG-A comparative study Comput Methods Programs Biomed 80 17 23 10.1016/j.cmpb.2005. 06.005 1:STN:280:DC%2BD2MrgvF2htw%3D%3D 16099533
    • (2005) Comput Methods Programs Biomed , vol.80 , pp. 17-23
    • Kannathal, N.1    Acharya, U.R.2    Lim, C.M.3    Sadasivan, P.K.4
  • 18
    • 27744537035 scopus 로고    scopus 로고
    • Entropies for detection of epilepsy in EEG
    • 10.1016/j.cmpb.2005.06.012 1:STN:280:DC%2BD2Mnhs1Grtw%3D%3D 16219385
    • N Kannathal ML Choo UR Acharya PK Sadasivan 2005 Entropies for detection of epilepsy in EEG Comput Methods Programs Biomed 80 187 194 10.1016/j.cmpb.2005.06.012 1:STN:280:DC%2BD2Mnhs1Grtw%3D%3D 16219385
    • (2005) Comput Methods Programs Biomed , vol.80 , pp. 187-194
    • Kannathal, N.1    Choo, M.L.2    Acharya, U.R.3    Sadasivan, P.K.4
  • 19
    • 22244454103 scopus 로고    scopus 로고
    • Monitoring changing dynamics with correlation integrals: Case study of an epileptic seizure
    • 10.1016/0167-2789(96)00085-1
    • DE Lerner 1996 Monitoring changing dynamics with correlation integrals: Case study of an epileptic seizure Physica D 97 563 576 10.1016/0167-2789(96) 00085-1
    • (1996) Physica D , vol.97 , pp. 563-576
    • Lerner, D.E.1
  • 21
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • 10.1016/j.eswa.2007.12.065
    • H Ocak 2009 Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy Expert Syst Appl 36 2027 2036 10.1016/j.eswa.2007.12.065
    • (2009) Expert Syst Appl , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 22
    • 1242292276 scopus 로고    scopus 로고
    • Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering
    • 10.1016/j.clinph.2003.10.036 1:STN:280:DC%2BD2c7ktlajsw%3D%3D 15036046
    • A Ossadtchi S Baillet JC Mosher D Thyerlei W Sutherling RM Leahy 2004 Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering Clin Neurophysiol 115 508 522 10.1016/j.clinph.2003.10.036 1:STN:280:DC%2BD2c7ktlajsw%3D%3D 15036046
    • (2004) Clin Neurophysiol , vol.115 , pp. 508-522
    • Ossadtchi, A.1    Baillet, S.2    Mosher, J.C.3    Thyerlei, D.4    Sutherling, W.5    Leahy, R.M.6
  • 23
    • 33644863901 scopus 로고    scopus 로고
    • Improving visual evoked potential feature classification for person recognition using PCA and normalization
    • 10.1016/j.patrec.2005.10.020
    • R Palaniappan KVR Ravi 2006 Improving visual evoked potential feature classification for person recognition using PCA and normalization Pattern Recogn Lett 27 726 733 10.1016/j.patrec.2005.10.020
    • (2006) Pattern Recogn Lett , vol.27 , pp. 726-733
    • Palaniappan, R.1    Ravi, K.V.R.2
  • 24
    • 0035679921 scopus 로고    scopus 로고
    • Assessing serial irregularity and its implications for health
    • 10.1111/j.1749-6632.2001.tb02755.x 1:STN:280:DC%2BD38%2Fnt1SltA%3D%3D 11797860
    • SM Pincus 2001 Assessing serial irregularity and its implications for health Ann N Y Acad Sci 954 245 267 10.1111/j.1749-6632.2001.tb02755.x 1:STN:280:DC%2BD38%2Fnt1SltA%3D%3D 11797860
    • (2001) Ann N y Acad Sci , vol.954 , pp. 245-267
    • Pincus, S.M.1
  • 25
    • 35448954006 scopus 로고    scopus 로고
    • Topography, independent component analysis and dipole source analysis of movement related potentials
    • 10.1007/s11571-007-9024-y 19003503
    • S Pockett S Whalen A McPhail W Freeman 2007 Topography, independent component analysis and dipole source analysis of movement related potentials Cogn Neurodyn 1 327 340 10.1007/s11571-007-9024-y 19003503
    • (2007) Cogn Neurodyn , vol.1 , pp. 327-340
    • Pockett, S.1    Whalen, S.2    McPhail, A.3    Freeman, W.4
  • 26
    • 34247217946 scopus 로고    scopus 로고
    • Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
    • 10.1016/j.amc.2006.09.022
    • K Polat S Günes 2007 Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform Appl Math Comput 187 1017 1026 10.1016/j.amc.2006.09.022
    • (2007) Appl Math Comput , vol.187 , pp. 1017-1026
    • Polat, K.1    Günes, S.2
  • 27
    • 0032077575 scopus 로고    scopus 로고
    • Estimating regularity in epileptic seizure time-series data
    • 10.1109/51.677174 1:STN:280:DyaK1c3mvVSltw%3D%3D
    • N Radhakrishnan BN Gangadhar 1998 Estimating regularity in epileptic seizure time-series data IEEE Eng Med Biol 17 89 94 10.1109/51.677174 1:STN:280:DyaK1c3mvVSltw%3D%3D
    • (1998) IEEE Eng Med Biol , vol.17 , pp. 89-94
    • Radhakrishnan, N.1    Gangadhar, B.N.2
  • 28
    • 24044474732 scopus 로고    scopus 로고
    • Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features
    • 10.1007/s10916-005-6133-1 1:STN:280:DC%2BD2MrlvFCitw%3D%3D 16235818
    • V Srinivasan C Eswaran N Sriraam 2005 Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features J Med Syst 29 647 660 10.1007/s10916-005-6133-1 1:STN:280:DC%2BD2MrlvFCitw%3D%3D 16235818
    • (2005) J Med Syst , vol.29 , pp. 647-660
    • Srinivasan, V.1    Eswaran, C.2    Sriraam, N.3
  • 29
    • 33646135537 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizure using dynamic fuzzy neural networks
    • 10.1016/j.eswa.2005.09.027
    • A Subasi 2006 Automatic detection of epileptic seizure using dynamic fuzzy neural networks Expert Syst Appl 31 320 328 10.1016/j.eswa.2005.09.027
    • (2006) Expert Syst Appl , vol.31 , pp. 320-328
    • Subasi, A.1
  • 30
    • 33751396389 scopus 로고    scopus 로고
    • EEG signal classification using wavelet feature extraction and a mixture of expert model
    • 10.1016/j.eswa.2006.02.005
    • A Subasi 2007 EEG signal classification using wavelet feature extraction and a mixture of expert model Expert Syst Appl 32 1084 1093 10.1016/j.eswa.2006. 02.005
    • (2007) Expert Syst Appl , vol.32 , pp. 1084-1093
    • Subasi, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.