Title: Evaluation of VDT visual fatigue based on real-time signal processing of finger photoplethysmography pulse wave

Authors: Yetai Wang; Lijuan Chou; Yiquan Sun; Yongxin Chou

Addresses: School of Automobile Engineering, Changshu Institute of Technology, Suzhou, Jiangsu, China ' Department of Mechanical and Electrical Engineering, Huaian Senior Vocational & Technical School, Huaian, Jiangsu, China ' School of Automobile Engineering, Changshu Institute of Technology, Suzhou, Jiangsu, China ' School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou, Jiangsu, China

Abstract: In this paper, we extract parameters related to visual fatigue from the biological signal during Visual Display Terminal (VDT) operation using finger Photoplethysmography (PPG) pulse wave. The analysis has shown that the peak-to-trough amplitudes and magnitude spectrum peaks are all significantly decreased after visual fatigue experiments (p<0.001) and the classification accuracy of fatigue states reaches 94.59%. This provides a simple convenient and objective detection method for diagnosis and evaluation of VDT visual fatigue. The low computational complexity and good performance on fatigue detection have great potential to be implemented in real-time for the primary care and in time for adopting measures to effectively prevent the occurrence and the development of the visual fatigue. So, the technique of PPG could be used in a wider range of clinical measurements as a measure of visual fatigue state in real-time monitoring.

Keywords: VDT; visual display terminal; visual fatigue; PPG; photoplethysmography; peak-to-trough amplitude; magnitude spectrum peaks; real-time.

DOI: 10.1504/IJCAT.2023.133880

International Journal of Computer Applications in Technology, 2023 Vol.72 No.4, pp.278 - 287

Received: 21 Dec 2022
Accepted: 18 Feb 2023
Published online: 04 Oct 2023 *

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