Literature DB >> 26418486

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

Titus S Ibekwe1,2, David O Folorunsho1, Enoch A Dahilo1,2, Ibeneche O Gbujie1, Maxwell M Nwegbu2,3, Onyekwere G Nwaorgu4.   

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 &amp; 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.

Entities:  

Keywords:  Androidboy1 “app”; noise; noise measuring device; smartphones; sound level meter

Mesh:

Year:  2016        PMID: 26418486     DOI: 10.1080/15459624.2015.1093134

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  5 in total

1.  EVALUATION OF THE ENVIRONMENTAL NOISE LEVELS IN ABUJA MUNICIPALITY USING MOBILE PHONES.

Authors:  T Ibekwe; D Folorunso; A Ebuta; J Amodu; M Nwegbu; Z Mairami; I Liman; C Okebaram; C Chimdi; B Durogbola; H Suleiman; H Mamven; N Baamlong; E Dahilo; I Gbujie; P Ibekwe; O Nwaorgu
Journal:  Ann Ib Postgrad Med       Date:  2016-12

2.  Towards the Interpretation of Sound Measurements from Smartphones Collected with Mobile Crowdsensing in the Healthcare Domain: An Experiment with Android Devices.

Authors:  Robin Kraft; Manfred Reichert; Rüdiger Pryss
Journal:  Sensors (Basel)       Date:  2021-12-28       Impact factor: 3.576

3.  Effectiveness of tinnitus therapy using a mobile application.

Authors:  Justyna Kutyba; Elżbieta Gos; Wiesław Wiktor Jędrzejczak; Danuta Raj-Koziak; Lucyna Karpiesz; Iwona Niedziałek; Henryk Skarżyński; Piotr Henryk Skarżyński
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-03-30       Impact factor: 2.503

4.  Profiles and predictors of onset based differences in vocal characteristics of adults with auditory neuropathy spectrum disorder (ANSD).

Authors:  Prateek Lokwani; Prashanth Prabhu; Kavassery Venkateswaran Nisha
Journal:  J Otol       Date:  2022-08-14

5.  OTP-PRL: an app for occupational risk prevention in policing activities.

Authors:  José C Vera-Jiménez; Marta Ferreiro-González; Gerardo F Barbero; José Ángel Álvarez; Francisco Fernández-Zacarías; Jesús Ayuso
Journal:  BMC Public Health       Date:  2019-11-21       Impact factor: 3.295

  5 in total

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