Hear Ally App For Enhancing Hearing Health Through Mobile Solutions For Meniere's Disease

Hearing loss, affecting over 20% of the population globally poses significant challenges compounded by conditions like Meniere's disease. This research introduces the “Hear Ally” mobile health application to support individuals with Meniere's-related hearing issues. Leveraging sound capture, and sound classification techniques, the app provides personalized vibrations to aid those with mild hearing loss. The study employs a mixed-methods approach involving experimental app development and observational user feedback. Methodologies encompass diverse sound databases and Mel Frequency Cepstral Coefficients for sound analysis. An optimum accuracy is obtained with SVM with radial basis function classifier. A critical exploration of mHealth app accuracy, reliability, and follow-up care accessibility is conducted. The Hear Ally app aims to integrate technology and healthcare to offer a supportive solution for Meniere's disease patients, though considerations include mobile technology dependence and disease variability. It contributes to advancing mobile health solutions for hearing-related conditions, with potential implications for improving the quality of life.