噪音(视频)
血压
医学
逻辑回归
答辩人
计算机科学
内科学
人工智能
政治学
图像(数学)
法学
作者
Fıkret Gevrek,Senad Burak,Edin Begić,Izet Mašić
出处
期刊:Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : časopis Društva za medicinsku informatiku BiH
[ScopeMed]
日期:2019-01-01
卷期号:27 (3): 162-162
被引量:8
标识
DOI:10.5455/aim.2019.27.162-166
摘要
Investigations have shown that noise is one of the etiologic factors that leads to a risk of cardiovascular incidence.To present effect of noise on arterial tension and heart rate of workers who work on machine press during period of three-years.The study had a prospective character and included 30 subjects (n = 30) who were monitored over a three-year period (36 months). The respondents worked at the factory "Cimos" on machine press (Zenica, Bosnia and Herzegovina). Ten machine presses were monitored, and three workers worked on each press. Approximately every worker was affected by a wide range of noise between 65 and 110 dB in the workplace (via isohypse). MATLAB (version 9.4, MathWorks, Natick, Massachusetts, United States of America (USA)) software was used to estimate the possible damage caused by noise in factories that produce noise in their work.During the three-year period, arterial tension in the subjects increased, and at the end of the observed period, they were considered as patients with a diagnosis of arterial hypertension grade I. The tension depends on the strength of the produced noise, and the values also depend on position of the respondent on the machine press.Noise prevention has become a problem of modern medicine. The result of our work allows estimation of arterial hypertension in specified time in case of exposure to a certain strength of noise. Prevention of noise, daytime noise prevention as well as better equipment for work and preventive equipment are imposed as imperative in such or similar conditions, with the need of development of national strategies for this issue in countries where they are not present.
科研通智能强力驱动
Strongly Powered by AbleSci AI