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评估移动智能手机应用程序作为环境噪声监测筛查工具的效果。

Evaluation of mobile smartphones app as a screening tool for environmental noise monitoring.

作者信息

Ibekwe Titus S, Folorunsho David O, Dahilo Enoch A, Gbujie Ibeneche O, Nwegbu Maxwell M, Nwaorgu Onyekwere G

机构信息

a Department of ENT , University of Abuja Teaching Hospital , Abuja , Nigeria.

b College of Health Sciences, University of Abuja , Nigeria.

出版信息

J Occup Environ Hyg. 2016;13(2):D31-6. doi: 10.1080/15459624.2015.1093134.

Abstract

Noise is a global occupational and environmental health hazard with considerable social and physiological impact and, therefore, there is a need for regular measurements to boost monitoring and regulations of environmental noise levels in our communities. This necessitates a readily available, inexpensive, and easy to use noise measuring device. We aimed to test the sensitivity and validity of mobile "smart" phones for this purpose. This was a comparative analysis of a cross sectional study done between January 2014 and February 2015. Noise levels were measured simultaneously at different locations within Abuja Nigeria at day and night hours in real time environments. A sound level meter (SLM) (Extech407730 Digital Soundmeter, serial no.: 2310135, calibration no: 91037) and three smartphones (Samsung Galaxy note3, Nokia S, and Techno Phantom Z running on Android "Apps" Androidboy1) were used. Statistical calculations were done with Pearson correlation, T-test and Consistency within American National Standards Institute acceptable standard errors. Noise level readings for both daytime and night with the SLM and the mobile phones showed equivalent values. All noise level meters measured were <100dB. The daytime readings were nearly identical in six locations and the maximum difference in values between the SLM and Smartphone instruments was 3db, noted in two locations. Readings in dBA showed strong correlation (r = 0.9) within acceptable error limits for Type 2 SLM devices and no significant difference in the values (p = 0.12 & 0.58) for both day and night. Sensitivity of the instrument yielded 92.9%. The androidboy1 "app" performance in this study showed a good correlation and comparative high sensitivity to the Standard SLM (type 2 SLM device). However there is the need for further studies.

摘要

噪声是一种全球性的职业和环境健康危害,具有相当大的社会和生理影响,因此,需要定期进行测量,以加强对我们社区环境噪声水平的监测和监管。这就需要一种随时可用、价格低廉且易于使用的噪声测量设备。我们旨在测试移动“智能”手机在此方面的灵敏度和有效性。这是一项对2014年1月至2015年2月期间进行的横断面研究的比较分析。在尼日利亚阿布贾的不同地点,于白天和夜间的实时环境中同时测量噪声水平。使用了一台声级计(Extech407730数字声级计,序列号:2310135,校准号:91037)和三部智能手机(运行安卓“应用程序”Androidboy1的三星Galaxy note3、诺基亚S和Techno Phantom Z)。采用皮尔逊相关性、T检验以及符合美国国家标准学会可接受标准误差的一致性进行统计计算。声级计和手机在白天和夜间的噪声水平读数显示出等效值。所有测量的噪声水平均<100分贝。六个地点的白天读数几乎相同,在两个地点注意到声级计和智能手机仪器之间的最大差值为3分贝。以A声级表示的读数在2型声级计设备的可接受误差范围内显示出强相关性(r = 0.9),白天和夜间的值均无显著差异(p = 0.12和0.58)。仪器的灵敏度为92.9%。本研究中androidboy1“应用程序”的性能与标准声级计(2型声级计设备)显示出良好的相关性和相对较高的灵敏度。然而,仍需要进一步研究。

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