Effects of fatigue on the physiological parameters of labor employees
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Abstract
Human factors have contributed to the causes of several accidents. The physiological parameters change law of labor employees before and after fatigue is researched in this paper. The purpose of this research is to find the relationship between physiological parameters and fatigue, design corresponding fatigue monitoring and early warning system, reduce the accident rate and optimize the working environment. The labor employees’ heart rate, RR interval, respiration rate and blood pressure under fatigue state are determined in the laboratory. The change law of labor employees’ heart rate, RR interval, respiratory rate and blood pressure are analyzed based on the paired samples t test by using SPSS software. The results show that labor employees’ heart rate and RR interval have no significant difference before and after fatigue. Labor employees’ respiration rate has significant difference before and after fatigue: the respiration rate decreased after fatigue. Labor employees’ blood pressure has significant difference before and after fatigue: blood pressure of labor employees after fatigue can be elevated. The results provide a richer theoretical and practical basis in what criteria are used to determine the fatigue. It has important significance in the safety management field and accident prevention.
Keywords
Fatigue Physiological parameters Paired samples t test Accident preventionNotes
Acknowledgments
This work is financially supported by the Fundamental Research Funds for the Central Universities (No. 2011QZ02), National Natural Science Foundation of China (No. 51204189) and National Basic Research Program of China (No. 2011CB201202); the authors are grateful for their support. We sincerely thank the editor and anonymous reviewers’ who improved this paper.
References
- Akerstedt T (1995) Work hours and sleepiness[J]. Clin Neurophysiol 25(6):367–375CrossRefGoogle Scholar
- Brown I (1994) Driver fatigue[J]. Hum Factors 36(2):298–314Google Scholar
- Chalder T, Berelowitz G, Pawlikowska T et al (1993) Development of a fatigue scale[J]. J Psychosom Res 37(2):147–153CrossRefGoogle Scholar
- Chen Chunxiao, Kun Li, Qiuyi Wu et al (2013) EEG-based detection and evaluation of fatigue caused by watching 3DTV[J]. Displays 34(2):81–88CrossRefGoogle Scholar
- Chiangchao Pao, Jerjuang Yow, Jongchen Chiou (2013) Combined effects of noise, vibration, and low temperature on the physiological parameters of labor employees[J]. Kaohsiung J Med Sci 29(10):560–567CrossRefGoogle Scholar
- Desai AV, Haque MA (2006) Vigilance monitoring for operator safety: a simulation study on highway driving[J]. J Saf Res 37(2):139–147CrossRefGoogle Scholar
- Dinges David F, Douglas Steven D, Hamarman Steffi et al (1995) Sleep deprivation and human immune function[J]. Adv Neuroimmunol 5(2):97–110CrossRefGoogle Scholar
- Gaynor Kaitlyn M, Cords Marina (2012) Antipredator and social monitoring functions of vigilance behaviour in blue monkeys[J]. Anim Behav 84(3):531–537CrossRefGoogle Scholar
- González-Izal Miriam, Malanda Armando, Gorostiaga Esteban et al (2012) Electromyographic models to assess muscle fatigue. J Electromyogr Kinesiol 22(4):501–512CrossRefGoogle Scholar
- Howard A, Joint M (1994) Fatigue and stress in driving[J]. J Workplace Learn 6(6):3–7CrossRefGoogle Scholar
- Lal Saroj K L, Craig Ashley (2001) A critical review of the psychophysiology of driver fatigue. Biol Psychol 55(3):173–194CrossRefGoogle Scholar
- Lusk SL, Hagerty BM, Gillespie B et al (2002) Chronic effects of workplace noise on blood pressure and heart rate[J]. Arch Environ Health 57:273–281CrossRefGoogle Scholar
- Mascord DJ, Heath RA (1992) Behavioral and physiological indices of fatigue in a visual tracking task[J]. J Saf Res 23(1):19–25CrossRefGoogle Scholar
- Mingwu Zhu, Yongxin Li, Xiongzhu Bu (2006) Test signal processing and analysis. Beijing University of Aeronautics and Astronautics Press, Beijing, pp 20–21Google Scholar
- Mitesh Patel, Sara Lal, Diarmuid Kavanagh (2010) Fatigue detection using computer vision[J]. Int J Electron Telecommun 56(4):457–461Google Scholar
- Ogunrinde O, Yue HJ (2013) Sleep-related breathing disorder(SRBD)-attention and vigilance[J]. Encycl Sleep 346-351 Google Scholar
- Sauter Cornelia, Danker-Hopfe Heidi, Loretz Erna et al (2013) The assessment of vigilance: normative data on the Siesta sustained attention test[J]. Sleep Med 14(6):542–548CrossRefGoogle Scholar
- Thiffault P, Bergeron J (2003) Monotony of road environment and driver fatigue: a simulator study[J]. Accid Anal Prev 35(3):381–391CrossRefGoogle Scholar
- Wijesuriya Nirupama, Tran Yvonne, Craig Ashley (2007) The psychophysiological determinants of fatigue[J]. Int J Psychophysiol 63(1):77–86CrossRefGoogle Scholar
- Zafeiridis Andreas, Giagazoglou Paraskevi, Dipla Konstantina et al (2010) Muscle fatigue during intermittent exercise in individuals with mental retardation. Res Dev Disabil 31(2):388–396CrossRefGoogle Scholar