Hearing Tests on Mobile Devices: Evaluation of the Reference Sound Level by Means of Biological Calibration

Journals

1. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408 View
2. Wallace J, Kanegaonkar R. The role of smartphone applications in clinical practice: a review. The Journal of Laryngology & Otology 2020;134(2):96 View
3. Corry M, Sanders M, Searchfield G. The accuracy and reliability of an app-based audiometer using consumer headphones: pure tone audiometry in a normal hearing group. International Journal of Audiology 2017;56(9):706 View
4. Masalski M, Morawski K. Worldwide Prevalence of Hearing Loss Among Smartphone Users: Cross-Sectional Study Using a Mobile-Based App. Journal of Medical Internet Research 2020;22(7):e17238 View
5. Moumtzoglou A, Pouliakis A. Population Health Management and the Science of Individuality. International Journal of Reliable and Quality E-Healthcare 2018;7(2):1 View
6. Ho C, Li P, Young S. Reference equivalent threshold sound pressure levels for Apple EarPods. The Journal of the Acoustical Society of America 2017;141(2):EL115 View
7. Deshpande A, Shimunova T. A Comprehensive Evaluation of Tinnitus Apps. American Journal of Audiology 2019;28(3):605 View
8. Masalski M, Grysiński T, Kręcicki T. Hearing Tests Based on Biologically Calibrated Mobile Devices: Comparison With Pure-Tone Audiometry. JMIR mHealth and uHealth 2018;6(1):e10 View
9. Paglialonga A, Cleveland Nielsen A, Ingo E, Barr C, Laplante-Lévesque A. eHealth and the hearing aid adult patient journey: a state-of-the-art review. BioMedical Engineering OnLine 2018;17(1) View
10. Chu Y, Cheng Y, Lai Y, Tsao Y, Tu T, Young S, Chen T, Chung Y, Lai F, Liao W. A Mobile Phone–Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study. JMIR mHealth and uHealth 2019;7(4):e12033 View
11. Yimtae K, Israsena P, Thanawirattananit P, Seesutas S, Saibua S, Kasemsiri P, Noymai A, Soonrach T. A Tablet-Based Mobile Hearing Screening System for Preschoolers: Design and Validation Study. JMIR mHealth and uHealth 2018;6(10):e186 View
12. Li L, Wang S, Wu C, Tsai C, Wu T, Lin Y. Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry. JMIR mHealth and uHealth 2020;8(10):e17213 View
13. Lin H, Chu Y, Lai Y, Cheng H, Lai F, Cheng Y, Liao W. A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: Cross-Sectional Validity Study. JMIR mHealth and uHealth 2020;8(11):e23047 View
14. Patel K, Thibodeau L, McCullough D, Freeman E, Panahi I. Development and Pilot Testing of Smartphone-Based Hearing Test Application. International Journal of Environmental Research and Public Health 2021;18(11):5529 View
15. Holtmann L, Deuß E, Meyer M, Kaster F, Bastian T, Schleupner M, Hagedorn E, Lang S, Arweiler-Harbeck D. Detection accuracy of soft tissue complications during remote cochlear implant follow-up. Cochlear Implants International 2022;23(5):249 View
16. Wasmann J, Pragt L, Eikelboom R, Swanepoel D. Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review. Journal of Medical Internet Research 2022;24(2):e32581 View
17. Li L, Wang S, Yang J, Chen C, Tsai C, Wu L, Wu T, Wu C. Validation of a Personalized Hearing Screening Mobile Health Application for Persons with Moderate Hearing Impairment. Journal of Personalized Medicine 2021;11(10):1035 View
18. Krumm M. A REVIEW OF CONTEMPORARY TELE-AUDIOLOGY LITERATURE. Journal of Hearing Science 2016;6(3):9 View
19. Kwong T, Choy Y, Mung S. Remote-Control Sound Pattern Recognition for Auditory Assessment and Therapy in Smart Healthcare. IEEE Access 2023;11:41167 View
20. Masalski M, Turski M, Zatoński T. Self-assessment of bone conduction hearing threshold using mobile audiometry: comparison with pure tone audiometry. International Journal of Audiology 2024;63(7):535 View
21. Lun Y, Chen J, Lu P, Yuan H, Ma P, Wang W, Liang R, Li S, Gao W, Ding X, Wang Z, Guo J, Lu L. Predictive value of serum proteomic biomarkers for noise-induced hearing loss. Environmental Science and Pollution Research 2023;30(43):96827 View
22. Masalski M. The Hearing Test App for Android Devices: Distinctive Features of Pure-Tone Audiometry Performed on Mobile Devices. Medical Devices: Evidence and Research 2024;Volume 17:151 View
23. Chokalingam S, Mathiyalagen P, Colbert K, Vazhumuni B, Murugesan S, Nagarajan N. The Credibility of a Smartphone-Based Application for use as a Hearing Screening Tool in Underserved Areas. Indian Journal of Otology 2022;28(4):296 View
24. Masalski M, Morawski K. The multilingual digits-in-noise (DIN) test: development and evaluation. International Journal of Audiology 2024:1 View

Books/Policy Documents

1. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
2. Moumtzoglou A, Pouliakis A. Data Analytics in Medicine. View
3. Moumtzoglou A, Pouliakis A. Quality Assurance in the Era of Individualized Medicine. View
4. Moumtzoglou A, Pouliakis A. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic. View

Conference Proceedings

1. Paglialonga A, Pinciroli F, Tognola G, Barbieri R, Caiani E, Riboldi M. 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI). e-Health solutions for better care: Characterization of health apps to extract meaningful information and support users' choices View
2. Prasad G, Kumar S, Kishan M, Hareesha K, Kundapur P. 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). Estimating Gap Detection Threshold and Comodulation Masking Release (Uncomodulated Noise Bands) on Android View