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

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalJournal of Neuroscience Methods
Volume64
Issue number1
DOIs
Publication statusPublished - 1996 Jan
Externally publishedYes

Keywords

  • Computer analysis
  • EEG waveform recognition method
  • Fujimori's method
  • Methodology
  • Sleep
  • Time domain analysis

ASJC Scopus subject areas

  • Neuroscience(all)

Fingerprint Dive into the research topics of 'Computerization of Fujimori's method of waveform recognition a review and methodological considerations for its application to all-night sleep EEG'. Together they form a unique fingerprint.

  • Cite this