Computerization of Fujimori's method of waveform recognition a review and methodological considerations for its application to all-night sleep EEG

Sunao Uchida, Masato Matsuura, Shigeki Ogata, Takuji Yamamoto, Naoyuki Aikawa

研究成果: Article査読

16 被引用数 (Scopus)

抄録

This article critically reviews 8 computer implementations of Fujimori's method for EEG waveform recognition, with methodological considerations for the application of this method to the analysis of all-night sleep EEG. Fujimori's method has been considered one of the most appropriate waveform analyses for EEG. This kind of analysis is advantageous for measuring frequency and amplitude of each EEG wave separately. However, current implementations have drawbacks which must be resolved before they can be used on all-night sleep EEG. An optimal sampling rate should be determined which is appropriate to the purpose of analysis. Amplitude thresholds for wave recognition, which are now set arbitrarily, should also be improved. Measurement of waves in higher orders of superimposition is also necessary, although existing systems are limited to the second order. Additional algorithms, such as for the separate detection of sleep slow waves, may be useful. Further applications for Fujimori's method are suggested.

本文言語English
ページ(範囲)1-12
ページ数12
ジャーナルJournal of Neuroscience Methods
64
1
DOI
出版ステータスPublished - 1996 1
外部発表はい

ASJC Scopus subject areas

  • 神経科学(全般)

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