@article{swanepoel_smartphone_2014,
	title = {Smartphone hearing screening with integrated quality control and data management},
	volume = {53},
	issn = {1499-2027},
	url = {https://doi.org/10.3109/14992027.2014.920965},
	doi = {10.3109/14992027.2014.920965},
	abstract = {Objective: To determine if a smartphone application could be used as a calibrated screening audiometer with real-time noise monitoring for school screening using automated test sequences. Design: The investigation comprised three studies. Study 1 evaluated calibration accuracy across four Samsung S5301 smartphones (Android v4.0.4) using commercial Sennheiser HD202 headphones. Study 2 involved referencing smartphone microphone sensitivity to narrowband noise intensity as measured in octave bands by a sound-level meter between 30 and 75 dB SPL (5 dB increments). Study 3 compared screening outcomes of smartphone based and conventional hearing screening. Study sample: Study 2: 15 normal-hearing subjects (age range, 18–22 years; all female). Study 3: 162 children (324 ears) aged 5 to 7 years. Results: Smartphone calibration at 20, 30, and 40 dB was within 1 dB of recommended reference equivalent thresholds levels. Microphone calibration for noise monitoring had maximum variability across phones of 0.9, 0.6, and 2.9 dB at 1, 2, and 4 kHz, respectively, from reference intensities (30 to 75 dB SPL). Screening outcomes demonstrated no significant difference between smartphone and conventional audiometry with an overall referral rate of 4.3\% and 3.7\%, respectively. Conclusions: The newly developed smartphone application can be accurately calibrated for audiometry with valid real-time noise monitoring, and clinical results are comparable to conventional screening.},
	number = {12},
	urldate = {2019-04-01},
	journal = {International Journal of Audiology},
	author = {Swanepoel, D.W. and Myburgh, Hermanus C. and Howe, David M. and Mahomed, Faheema and Eikelboom, Robert H.},
	month = dec,
	year = {2014},
	keywords = {Ambient noise, audiometry, calibration, childhood hearing loss, hearing screening, pure-tone audiometry, school screening},
	pages = {841--849},
}

{"_id":"9aKh95uJrsjHThoqT","bibbaseid":"swanepoel-myburgh-howe-mahomed-eikelboom-smartphonehearingscreeningwithintegratedqualitycontrolanddatamanagement-2014","authorIDs":[],"author_short":["Swanepoel, D.","Myburgh, H. C.","Howe, D. M.","Mahomed, F.","Eikelboom, R. H."],"bibdata":{"bibtype":"article","type":"article","title":"Smartphone hearing screening with integrated quality control and data management","volume":"53","issn":"1499-2027","url":"https://doi.org/10.3109/14992027.2014.920965","doi":"10.3109/14992027.2014.920965","abstract":"Objective: To determine if a smartphone application could be used as a calibrated screening audiometer with real-time noise monitoring for school screening using automated test sequences. Design: The investigation comprised three studies. Study 1 evaluated calibration accuracy across four Samsung S5301 smartphones (Android v4.0.4) using commercial Sennheiser HD202 headphones. Study 2 involved referencing smartphone microphone sensitivity to narrowband noise intensity as measured in octave bands by a sound-level meter between 30 and 75 dB SPL (5 dB increments). Study 3 compared screening outcomes of smartphone based and conventional hearing screening. Study sample: Study 2: 15 normal-hearing subjects (age range, 18–22 years; all female). Study 3: 162 children (324 ears) aged 5 to 7 years. Results: Smartphone calibration at 20, 30, and 40 dB was within 1 dB of recommended reference equivalent thresholds levels. Microphone calibration for noise monitoring had maximum variability across phones of 0.9, 0.6, and 2.9 dB at 1, 2, and 4 kHz, respectively, from reference intensities (30 to 75 dB SPL). Screening outcomes demonstrated no significant difference between smartphone and conventional audiometry with an overall referral rate of 4.3% and 3.7%, respectively. Conclusions: The newly developed smartphone application can be accurately calibrated for audiometry with valid real-time noise monitoring, and clinical results are comparable to conventional screening.","number":"12","urldate":"2019-04-01","journal":"International Journal of Audiology","author":[{"propositions":[],"lastnames":["Swanepoel"],"firstnames":["D.W."],"suffixes":[]},{"propositions":[],"lastnames":["Myburgh"],"firstnames":["Hermanus","C."],"suffixes":[]},{"propositions":[],"lastnames":["Howe"],"firstnames":["David","M."],"suffixes":[]},{"propositions":[],"lastnames":["Mahomed"],"firstnames":["Faheema"],"suffixes":[]},{"propositions":[],"lastnames":["Eikelboom"],"firstnames":["Robert","H."],"suffixes":[]}],"month":"December","year":"2014","keywords":"Ambient noise, audiometry, calibration, childhood hearing loss, hearing screening, pure-tone audiometry, school screening","pages":"841–849","bibtex":"@article{swanepoel_smartphone_2014,\n\ttitle = {Smartphone hearing screening with integrated quality control and data management},\n\tvolume = {53},\n\tissn = {1499-2027},\n\turl = {https://doi.org/10.3109/14992027.2014.920965},\n\tdoi = {10.3109/14992027.2014.920965},\n\tabstract = {Objective: To determine if a smartphone application could be used as a calibrated screening audiometer with real-time noise monitoring for school screening using automated test sequences. Design: The investigation comprised three studies. Study 1 evaluated calibration accuracy across four Samsung S5301 smartphones (Android v4.0.4) using commercial Sennheiser HD202 headphones. Study 2 involved referencing smartphone microphone sensitivity to narrowband noise intensity as measured in octave bands by a sound-level meter between 30 and 75 dB SPL (5 dB increments). Study 3 compared screening outcomes of smartphone based and conventional hearing screening. Study sample: Study 2: 15 normal-hearing subjects (age range, 18–22 years; all female). Study 3: 162 children (324 ears) aged 5 to 7 years. Results: Smartphone calibration at 20, 30, and 40 dB was within 1 dB of recommended reference equivalent thresholds levels. Microphone calibration for noise monitoring had maximum variability across phones of 0.9, 0.6, and 2.9 dB at 1, 2, and 4 kHz, respectively, from reference intensities (30 to 75 dB SPL). Screening outcomes demonstrated no significant difference between smartphone and conventional audiometry with an overall referral rate of 4.3\\% and 3.7\\%, respectively. Conclusions: The newly developed smartphone application can be accurately calibrated for audiometry with valid real-time noise monitoring, and clinical results are comparable to conventional screening.},\n\tnumber = {12},\n\turldate = {2019-04-01},\n\tjournal = {International Journal of Audiology},\n\tauthor = {Swanepoel, D.W. and Myburgh, Hermanus C. and Howe, David M. and Mahomed, Faheema and Eikelboom, Robert H.},\n\tmonth = dec,\n\tyear = {2014},\n\tkeywords = {Ambient noise, audiometry, calibration, childhood hearing loss, hearing screening, pure-tone audiometry, school screening},\n\tpages = {841--849},\n}\n\n","author_short":["Swanepoel, D.","Myburgh, H. C.","Howe, D. M.","Mahomed, F.","Eikelboom, R. 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