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

Fingerprint

electroencephalography
Electroencephalography
Band structure
energy bands
Fatigue of materials
digital filters
evaluation
Digital filters
Frequency bands
taps
personal computers
nerves
Microcontrollers
Personal computers
Spectrum analysis
spectrum analysis

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

Cite this

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A fatigue state evaluation system based on the band energy of electroencephalography signals. / Hsieh, Chin Shun; Tai, Cheng-Chi.

In: Sensors and Materials, Vol. 25, No. 9, 01.12.2013, p. 667-671.

Research output: Contribution to journalArticle

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