HCAISPJan 28, 2024

EEG for fatigue monitoring

arXiv:2401.15766v11 citationsh-index: 2
Originality Synthesis-oriented
AI Analysis

It addresses the problem of fatigue monitoring for professionals in high-risk sectors, but it is incremental as it reviews existing methods without introducing new techniques.

This paper analyzes the use of electroencephalography (EEG) for monitoring physiological fatigue, a state that reduces performance in domains like healthcare and aviation, by reviewing its current state as a non-invasive and sensitive tool.

Physiological fatigue, a state of reduced cognitive and physical performance resulting from prolonged mental or physical exertion, poses significant challenges in various domains, including healthcare, aviation, transportation, and industrial sectors. As the understanding of fatigue's impact on human performance grows, there is a growing interest in developing effective fatigue monitoring techniques. Among these techniques, electroencephalography (EEG) has emerged as a promising tool for objectively assessing physiological fatigue due to its non-invasiveness, high temporal resolution, and sensitivity to neural activity. This paper aims to provide a comprehensive analysis of the current state of the use of EEG for monitoring physiological fatigue.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes