Effects of psychological stress test on the cardiac response of public safety workers: alternative parameters to autonomic balance

7th International Congress of Engineering Physics

物理学;工业技术

Huerta-Franco, M.R.^1 ; Vargas-Luna, F.M.^2 ; Delgadillo-Holtfort, I.^2

Department of Applied Sciences to Work, Health Science Division, University of Guanajuato, Aquiles Serdán # 924, Col. Obregon, Mexico , Leon Guanajuato

37320, Mexico^1

Department of Physical Engineering, Science and Engineering Division, University of Guanajuato, Loma del Bosque 103, Col Lomas del Campestre León, Guanajuato

37150, Mexico^2

关键词: Autonomous nervous systems;    Frequency regions;    Gender differences;    Multi-disciplinary research;    Periodic sequence;    Psychological stress;    Response parameters;    Sensitive parameter;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/582/1/012040/pdf
DOI  :  10.1088/1742-6596/582/1/012040

学科分类：工业工程学

来源: IOP

【 摘 要 】

It is well known that public safety workers (PSW) face many stressful situations that yield them as high-risk population for suffering chronic stress diseases. In this multidisciplinary research the cardiac response to induced psychological stress by a short duration Stroop test was evaluated in 20 female and 19 male PSW, in order to compare traditionally used cardiac response parameters with alternative ones. Electrocardiograms have been recorded using the Eindhoven electrodes configuration for 1 min before, 3 min during and 1 min after the test. Signals analysis has been performed for the heart rate and the power spectra of its variability and of the variability of the amplitude of the R-wave, i.e. The highest peak of the electrocardiographic signal periodic sequence. The results demonstrated that the traditional autonomic balance index shows no significant differences between stages. In contrast, the median of the area of the power spectrum of the R-wave amplitude variability in the frequency region dominated by the autonomous nervous system (0.04-to-0.4 Hz) is the more sensitive parameter. Moreover, this parameter allows to identify gender differences consistent with those encountered in other studies.