메뉴 건너뛰기




Volumn 25, Issue 1, 2011, Pages 85-92

Fractality and a wavelet-chaos-methodology for EEG-based diagnosis of alzheimer disease

Author keywords

Alzheimer disease; EEG; fractal dimension; signal processing

Indexed keywords

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRODE; ELECTROENCEPHALOGRAM; HUMAN; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

EID: 79952194903     PISSN: 08930341     EISSN: None     Source Type: Journal    
DOI: 10.1097/WAD.0b013e3181ed1160     Document Type: Article
Times cited : (161)

References (41)
  • 1
    • 3042857903 scopus 로고    scopus 로고
    • Alzheimer's disease
    • Cummings JL. Alzheimer's disease. N Engl J Med. 2004; 351:56-67.
    • (2004) N Engl J Med. , vol.351 , pp. 56-67
    • Cummings, J.L.1
  • 2
    • 0035757529 scopus 로고    scopus 로고
    • β-Amyloid, neuronal death and alzheimer's disease
    • Carter J, Lippa CF. Beta-amyloid, neuronal death and Alzheimer's disease. Curr Mol Med. 2001;1:733-737. (Pubitemid 33772946)
    • (2001) Current Molecular Medicine , vol.1 , Issue.6 , pp. 733-737
    • Carter, J.1    Lippa, C.F.2
  • 3
    • 23844473285 scopus 로고    scopus 로고
    • Alzheimer's disease: Models of computation and analysis of EEGs
    • Adeli H, Ghosh-Dastidar S, Dadmehr N. Alzheimer's disease: models of computation and analysis of EEGs. Clin EEG Neurosci. 2005;36:131-140. (Pubitemid 41153680)
    • (2005) Clinical EEG and Neuroscience , vol.36 , Issue.3 , pp. 131-140
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 4
    • 2942616619 scopus 로고    scopus 로고
    • EEG dynamics in patients with Alzheimer's disease
    • DOI 10.1016/j.clinph.2004.01.001, PII S138824570400015X
    • Jeong J. EEG dynamics in patients with Alzheimer's disease. Clin Neurophysiol. 2004;115:1490-1505. (Pubitemid 38760295)
    • (2004) Clinical Neurophysiology , vol.115 , Issue.7 , pp. 1490-1505
    • Jeong, J.1
  • 5
    • 0037441741 scopus 로고    scopus 로고
    • Analysis of EEG records in an epileptic patient using wavelet transform
    • DOI 10.1016/S0165-0270(02)00340-0, PII S0165027002003400
    • Adeli H, Zhou Z, Dadmehr N. Analysis of EEG records in an epileptic patient using wavelet transform. J Neurosc Methods. 2003;123:69-87. (Pubitemid 36173654)
    • (2003) Journal of Neuroscience Methods , vol.123 , Issue.1 , pp. 69-87
    • Adeli, H.1    Zhou, Z.2    Dadmehr, N.3
  • 6
    • 34547597104 scopus 로고    scopus 로고
    • Improved spiking neural networks for EEG classification and epilepsy and seizure detection
    • Ghosh-Dastidar S, Adeli H. Improved spiking neural networks for EEG classification and epilepsy and seizure detection. Integrated Comput Aided Engin. 2007;14:187-212. (Pubitemid 47191475)
    • (2007) Integrated Computer-Aided Engineering , vol.14 , Issue.3 , pp. 187-212
    • Ghosh-Dastidar, S.1    Adeli, H.2
  • 7
    • 71049128082 scopus 로고    scopus 로고
    • A new supervised learning algorithm for multiple spiking neural networks with applica-tion in epilepsy and seizure detection
    • Ghosh-Dastidar S, Adeli H. A new supervised learning algorithm for multiple spiking neural networks with applica-tion in epilepsy and seizure detection. Neural Netw. 2009;22: 1419-1431.
    • (2009) Neural Netw. , vol.22 , pp. 1419-1431
    • Ghosh-Dastidar, S.1    Adeli, H.2
  • 8
    • 34547573516 scopus 로고    scopus 로고
    • Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection
    • DOI 10.1109/TBME.2007.891945
    • Ghosh-Dastidar S, Adeli H, Dadmehr N. Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection. IEEE Trans BiomedEng. 2007;54:1545-1551. (Pubitemid 47301028)
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.9 , pp. 1545-1551
    • Ghosh-Dastidar, S.1    Adeli, H.2    Dadmehr, N.3
  • 9
    • 38349123053 scopus 로고    scopus 로고
    • Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection
    • Ghosh-Dastidar S, Adeli H, Dadmehr N. Principal component analysis-enhanced cosine radial basis function neural network for robust epilepsy and seizure detection. IEEE Trans Biomed Eng. 2008;55:512-518.
    • (2008) IEEE Trans Biomed Eng. , vol.55 , pp. 512-518
    • Ghosh-Dastidar, S.1    Adeli, H.2    Dadmehr, N.3
  • 10
    • 77749242546 scopus 로고    scopus 로고
    • Wavelet-synchronization method-ology: A new approach for EEG-based diagnosis of ADHD
    • Ahmadlou M, Adeli H. Wavelet-synchronization method-ology: a new approach for EEG-based diagnosis of ADHD. Clin EEG Neurosci. 2010;41:1-10.
    • (2010) Clin EEG Neurosci. , vol.41 , pp. 1-10
    • Ahmadlou, M.1    Adeli, H.2
  • 11
    • 21444435892 scopus 로고    scopus 로고
    • Alzheimer's disease and models of computation: Imaging, classification, and neural models
    • Adeli H, Ghosh-Dastidar S, Dadmehr N. Alzheimer's disease and models of computation: imaging, classification, and neural models. J Alzheimer Dis. 2005;7:187-199. (Pubitemid 40917248)
    • (2005) Journal of Alzheimer's Disease , vol.7 , Issue.3 , pp. 187-199
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 12
    • 51349083532 scopus 로고    scopus 로고
    • A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease
    • Adeli H, Ghosh-Dastidar S, Dadmehr N. A spatio-temporal wavelet-chaos methodology for EEG-based diagnosis of Alzheimer's disease. Neurosci Lett. 2008;444:190-194.
    • (2008) Neurosci Lett. , vol.444 , pp. 190-194
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 13
    • 1642496868 scopus 로고    scopus 로고
    • Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series
    • Jiang X, Adeli H. Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series. Integrated Comput Aided Eng. 2003;10:287-302.
    • (2003) Integrated Comput Aided Eng. , vol.10 , pp. 287-302
    • Jiang, X.1    Adeli, H.2
  • 14
    • 60749133512 scopus 로고    scopus 로고
    • Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients
    • Gomez C, Mediavilla A, Hornero R, et al. Use of the Higuchi's fractal dimension for the analysis of MEG recordings from Alzheimer's disease patients. Med Eng Phys. 2009;31:306-313.
    • (2009) Med Eng Phys. , vol.31 , pp. 306-313
    • Gomez, C.1    Mediavilla, A.2    Hornero, R.3
  • 17
  • 18
    • 0035078731 scopus 로고    scopus 로고
    • Nonlinear dynamic analysis of the EEG in patients with Alzheimer's disease and vascular dementia
    • Jeong J, Chae JH, Kim SY, et al. Nonlinear dynamic analysis of the EEG in patients with Alzheimer's disease and vascular dementia. J Clin Neurophysiol. 2001;18:58-67. (Pubitemid 32240442)
    • (2001) Journal of Clinical Neurophysiology , vol.18 , Issue.1 , pp. 58-67
    • Jeong, J.1    Chae, J.-H.2    Kim, S.Y.3    Han, S.-H.4
  • 20
    • 34447542360 scopus 로고    scopus 로고
    • Nonlinear analysis of brain magnetoencephalographic activity in Alzheimer disease patients
    • Abatzoglou I, Anninos P, Adamopoulos A, et al. Nonlinear analysis of brain magnetoencephalographic activity in Alzhei-mer disease patients. Acta neurol Belg. 2007;107:34-39. (Pubitemid 47064740)
    • (2007) Acta Neurologica Belgica , vol.107 , Issue.2 , pp. 34-39
    • Abatzoglou, I.1    Anninos, P.2    Adamopoulos, A.3    Koukourakis, M.4
  • 22
    • 0028330503 scopus 로고
    • Quantification of occipital EEG changes in Alzheimer's disease utilizing a new metric: The fractal dimension
    • DOI 10.1016/0006-3223(94)90004-3
    • Woyshville MJ, Calabrese JR. Quantification of occipital EEG changes in Alzheimer's disease utilizing a new metric: the fractal dimension. Biol Psychiatry. 1994;35:381-387. (Pubitemid 24118466)
    • (1994) Biological Psychiatry , vol.35 , Issue.6 , pp. 381-387
    • Woyshville, M.J.1    Calabrese, J.R.2
  • 23
    • 45549113571 scopus 로고
    • Approach to an irregular time series on the basis of the fractal theory
    • Higuchi T. Approach to an irregular time series on the basis of the fractal theory. Physica D Nonlin Phenomena. 1988;31: 277-283.
    • (1988) Physica D Nonlin Phenomena. , vol.31 , pp. 277-283
    • Higuchi, T.1
  • 24
    • 0032942648 scopus 로고    scopus 로고
    • Post-seizure EEG fractal dimension of first ECT predicts antidepressant response at two weeks
    • Gangadhara BN, Subbakrishnab DK, Janakiramaiaha N, et al. Post-seizure EEG fractal dimension of first ECT predicts antidepressant response at two weeks. J Affec Disord. 1999;52: 235-238.
    • (1999) J Affec Disord. , vol.52 , pp. 235-238
    • Gangadhara, B.N.1    Subbakrishnab, D.K.2    Janakiramaiaha, N.3
  • 25
    • 19044399340 scopus 로고    scopus 로고
    • A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier
    • DOI 10.1088/1741-2560/1/4/004, PII S1741256004776168
    • Boostani R, Moradi MH. A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier. J Neural Eng. 2004;1:212-217. (Pubitemid 41079655)
    • (2004) Journal of Neural Engineering , vol.1 , Issue.4 , pp. 212-217
    • Boostani, R.1    Moradi, M.H.2
  • 26
    • 77958176818 scopus 로고    scopus 로고
    • EEG fractal dimension measurement before and after human auditory stimulation
    • Georgiev S, Minchev Z, Christova C, et al. EEG fractal dimension measurement before and after human auditory stimulation. Bioautomation. 2009;12:70-81.
    • (2009) Bioautomation. , vol.12 , pp. 70-81
    • Georgiev, S.1    Minchev, Z.2    Christova, C.3
  • 27
    • 70349783216 scopus 로고    scopus 로고
    • Complexity analysis of EEG in patients with schizophrenia using fractal dimension
    • Raghavendra BS, Dutt DN, Halahalli HN, et al. Complexity analysis of EEG in patients with schizophrenia using fractal dimension. Physiol Meas. 2009;30:795-808.
    • (2009) Physiol Meas. , vol.30 , pp. 795-808
    • Raghavendra, B.S.1    Dutt, D.N.2    Halahalli, H.N.3
  • 28
    • 0023819518 scopus 로고
    • Fractals and the analysis of waveforms
    • Katz M. Fractals and the analysis of waveforms. Comput Biol Med. 1988;18:145-156.
    • (1988) Comput Biol Med. , vol.18 , pp. 145-156
    • Katz, M.1
  • 29
    • 33846672121 scopus 로고    scopus 로고
    • A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy
    • DOI 10.1109/TBME.2006.886855, 4
    • Adeli H, Ghosh-Dastidar S, Dadmehr N. A wavelet-chaos methodology for analysis of EEGs and EEG subbands to detect seizure and epilepsy. IEEE Trans Biomed Eng. 2007;54: 205-211. (Pubitemid 46188163)
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.2 , pp. 205-211
    • Adeli, H.1    Ghosh-Dastidar, S.2    Dadmehr, N.3
  • 30
    • 0028350376 scopus 로고
    • Time-frequency digital filtering based on an invertible wavelet transform: An application to evoked potentials
    • DOI 10.1109/10.277274
    • Bertrand O, Bohorquez J, Pernier J. Time-frequency digital filtering based on an invertible wavelet transform: an applica-tion to evoked potentials. IEEE Trans Biomed Eng. 1994;41: 77-88. (Pubitemid 24127451)
    • (1994) IEEE Transactions on Biomedical Engineering , vol.41 , Issue.1 , pp. 77-88
    • Bertrand, O.1    Bohorquez, J.2    Pernier, J.3
  • 31
    • 0033737589 scopus 로고    scopus 로고
    • Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis
    • Samant A, Adeli H. Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis. Comput Aided Civil Infrastructure Eng. 2000;13:241-250.
    • (2000) Comput Aided Civil Infrastructure Eng. , vol.13 , pp. 241-250
    • Samant, A.1    Adeli, H.2
  • 32
    • 0035400597 scopus 로고    scopus 로고
    • Enhancing neural network traffic incident-detection algorithms using wavelets
    • Samant A, Adeli H. Enhancing neural network incident detection algorithms using wavelets. Comput Aided Civil Infrastructure Eng. 2001;16:239-245. (Pubitemid 32526715)
    • (2001) Computer-Aided Civil and Infrastructure Engineering , vol.16 , Issue.4 , pp. 239-245
    • Samant, A.1    Adeli, H.2
  • 33
    • 0036571167 scopus 로고    scopus 로고
    • Incident detection algorithm using wavelet energy representation of traffic patterns
    • DOI 10.1061/(ASCE)0733-947X(2002)128:3(232)
    • Karim A, Adeli H. Incident detection algorithm using wavelet energy representation of traffic patterns. J Transportation Eng ASCE. 2002;128:232-242. (Pubitemid 34500232)
    • (2002) Journal of Transportation Engineering , vol.128 , Issue.3 , pp. 232-242
    • Karim, A.1    Adeli, H.2
  • 34
    • 0037250154 scopus 로고    scopus 로고
    • Fast automatic incident detection on urban and rural freeways using wavelet energy algorithm
    • DOI 10.1061/(ASCE)0733-947X(2003)129:1(57)
    • Karim A, Adeli H. Fast automatic incident detection on urban and rural freeways using the wavelet energy algorithm. J Transportation Eng ASCE. 2003;129:57-68. (Pubitemid 36137746)
    • (2003) Journal of Transportation Engineering , vol.129 , Issue.1 , pp. 57-68
    • Karim, A.1    Adeli, H.2
  • 36
    • 0041488755 scopus 로고    scopus 로고
    • Time-frequency signal analysis of earthquake records using Mexican hat wavelets
    • Zhou Z, Adeli H. Time-frequency signal analysis of earthquake records using Mexican hat wavelets. Comput Aided Civil Infrastructure Eng. 2003;18:379-389. (Pubitemid 36971726)
    • (2003) Computer-Aided Civil and Infrastructure Engineering , vol.18 , Issue.5 , pp. 379-389
    • Zhou, Z.1    Adeli, H.2
  • 37
    • 3242704391 scopus 로고    scopus 로고
    • Wavelet packet-autocorrelation function method for traffic flow pattern analysis
    • DOI 10.1111/j.1467-8667.2004.00360.x
    • Jiang X, Adeli H. Wavelet packet-autocorrelation function method for traffic flow pattern analysis. Comput Aided Civil Infrastructure Eng. 2004;19:324-337. (Pubitemid 38964850)
    • (2004) Computer-Aided Civil and Infrastructure Engineering , vol.19 , Issue.5 , pp. 324-337
    • Jiang, X.1    Adeli, H.2
  • 38
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher RA. The use of multiple measurements in taxonomic problems. Ann Eugen. 1936;7:179-188.
    • (1936) Ann Eugen. , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 39
    • 58349095351 scopus 로고    scopus 로고
    • An efficient classifier to diagnose of schizophrenia based on the EEG signals
    • Boostani R, Sadatnezhad K, Sabeti M. An efficient classifier to diagnose of schizophrenia based on the EEG signals. Expert Syst Appl. 2009;36:6492-6499.
    • (2009) Expert Syst Appl. , vol.36 , pp. 6492-6499
    • Boostani, R.1    Sadatnezhad, K.2    Sabeti, M.3
  • 40
    • 0025744914 scopus 로고
    • Altered EEG dynamical responsivity associated with normal aging and probable Alzheimer's disease
    • Pritchard WS, Duke DW, Coburn KL. Altered EEG dynamical responsivity associated with normal aging and probable Alzheimer's disease. Dementia. 1991;2:102-105.
    • (1991) Dementia. , vol.2 , pp. 102-105
    • Pritchard, W.S.1    Duke, D.W.2    Coburn, K.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.