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

Chin Shun Hsieh, Cheng-Chi Tai

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)667-671
頁數5
期刊Sensors and Materials
25
發行號9
出版狀態Published - 2013 十二月 1

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

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