A fatigue state evaluation system based on the band energy of electroencephalography signals

Chin Shun Hsieh, Cheng-Chi Tai

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Cranial nerve information can be used to correctly analyze fatigue states. Spectral analysis is the major method of identifying fatigue states. Various frequency bands can be distinguished by digital filters owing to their high accuracy and driftless features. The electroencephalography EEG signal is sent to a personal computer (PC) via a universal serial bus USB interface from a microcontroller and passed through digital filters within 200 taps, and thus, the spectrum of individual signals can be analyzed. This study has investigated the four EEG frequency bands, delta ()δ, theta (θ), alpha (α), and beta (β), using four algorithms to evaluate the fatigue state based on the EEG signals. We compared the four algorithms and determined the best one.

Original languageEnglish
Pages (from-to)667-671
Number of pages5
JournalSensors and Materials
Volume25
Issue number9
Publication statusPublished - 2013 Dec 1

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

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