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Volumn , Issue , 2003, Pages 240-245

Nonlinear Noise Reduction and Predictability of Epileptic Seizures

Author keywords

Biomedical signals; EEG; Nonlinear noise reduction; Seizure predictability; Time series analysis

Indexed keywords

BIOMEDICAL ENGINEERING; BRAIN; CORRELATION METHODS; FUNCTIONS; NOISE ABATEMENT; SIGNAL PROCESSING; TIME SERIES ANALYSIS;

EID: 1542644012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (15)
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  • 2
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    • (1991) Measuring Chaos in Brain , pp. 49-82
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  • 5
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    • Distinguishing between low-dimensional dynamics and randomness in measured time series
    • A. Provenzale, L. Smith, R. Vio, and G. Murante, Distinguishing between low-dimensional dynamics and randomness in measured time series, Physica D, 58, 1992, 31-49.
    • (1992) Physica D , vol.58 , pp. 31-49
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  • 13
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    • Practical implementation of nonlinear time series methods: The TISEAN package
    • R. Hegger, H. Kantz, and T. Schreiber, Practical implementation of nonlinear time series methods: The TISEAN package, Chaos, 9, 1999, 413-435.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.