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Volumn 2, Issue , 2002, Pages 483-486

Automatic detection of epileptic spikes based on wavelet neural network

Author keywords

Artificial neural networks; Biological neural networks; Electroencephalography; Epilepsy; Fault location; Neural networks; Signal analysis; Signal resolution; Wavelet analysis; Wavelet transforms

Indexed keywords

ALGORITHMS; ELECTRIC FAULT LOCATION; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; NEURAL NETWORKS; POWER TRANSFORMERS; SIGNAL ANALYSIS; SIGNAL DETECTION; WAVELET ANALYSIS;

EID: 84871881062     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APCCAS.2002.1115313     Document Type: Conference Paper
Times cited : (3)

References (7)
  • 3
  • 5
    • 0030245757 scopus 로고    scopus 로고
    • Classifying Biosignals with Wavelet Networks - A Method for Noninvasive Diagnosis
    • Sep./Oct
    • H. Dickhaus and H.Heinrich, "Classifying Biosignals with Wavelet Networks - a Method for Noninvasive Diagnosis", IEEE Engineering in Medicine and Biology Magazine, 15(5): 103-111, Sep./Oct. 1996.
    • (1996) IEEE Engineering in Medicine and Biology Magazine , vol.15 , Issue.5 , pp. 103-111
    • Dickhaus, H.1    Heinrich, H.2
  • 6
    • 0029256646 scopus 로고
    • Wavelet Preprocessing for Automated Neural Network Detection of EEG Spikes
    • March/April
    • Ozdamar O, Kalayci T, "Wavelet Preprocessing for Automated Neural Network Detection of EEG Spikes. IEEE Trans. Biomed. Eng EMB Magazine Volume 14 number 2 March/April 1995
    • (1995) IEEE Trans. Biomed. Eng EMB Magazine , vol.14 , Issue.2
    • Ozdamar, O.1    Kalayci, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.