Proceedings of The 5th International Conference on Modern Research in Engineering, Technology and Science
EAR: Mobile Solution and Integrated Data Analysis Framework as a Proposal for Monitoring Hearing Loss
Hugo André Carvalho, Luan Hítalo Rodrigues Oliveira, Maik Flávio da Silva Moura, Brenda Lohanna Meireles Nascimento, Bruno Guerra Paiva, Mariana Nazih Danif, Mariella de Souza Resende, Sofia Vilela Soares, Sophia Avelar Freitas, Gustavo Alves Fernandes, Vladimir Alexei Rodrigues Rocha, Bráulio Roberto Gomes Marinho Couto, Luiz Melk de Carvalho, Diva de Souza e Silva Rodrigues, Flávio Henrique Batista de Souza
People usually do not give proper attention to their hearing care. The hearing assessment usually occurs as an effect of a nuisance which motivates the person to search for professional treatment. Based on this, the present research demonstrates a mobile application aimed at assisting otolaryngology, capable of measuring levels of deafness of users through sound tests at different levels of decibels and determining whether the environment in which the user is being is harmful to their hearing. During the research, a solution was developed with the association of mobile and cloud computing technologies on a prototype implementation. Experiments were carried out and they demonstrated the ability to collect data on hearing capability on the following frequencies 65, 100, 500, 1K, 5K, 10K and 14KHz. Experiments on how the tool worked at different times of the day were carried out, with evaluations of the best results for each ear of the user. The feature of the tool to manage hearing was verified, both by the doctor and the user, on the hearing capability. The proposed structure proved to be able to receive optimizations based on Machine Learning for issues relevant to the medical field.
keywords: Otorhinolaryngology, EAR, Cloud Computing, Mobile Solution, Deafness.