Progress in hearing-aid technologies and audiology

Hearing Aid Classification Based on Audiology Data

Presented is a comparative study of two machine learning models (MLP Neural Network and Bayesian Network) as part of a decision support system for prescribing ITE (in the ear) and BTE (behind the ear) aids for people with hearing difficulties. The models are developed/trained and evaluated on a large set of patient records from major NHS audiology centre in England. The two main questions which...

Progress on Membrane Distillation and Related Technologies

Remote hearing aid fitting: Tele-audiology in the context of Brazilian Public Policy

INTRODUCTION  Currently, the Brazilian government has certificated nearly 140 specialized centers in hearing aid fittings through the Brazilian National Health System (SUS). Remote fitting through the Internet can allow a broader and more efficient coverage with a higher likelihood of success for patients covered by the SUS, as they can receive fittings from their own homes instead of going to ...

Auditory profiling and hearing-aid satisfaction in hearing-aid candidates.

INTRODUCTION Hearing-impaired (HI) listeners often complain about difficulties communicating in the presence of background noise, although audibility may be restored by a hearing-aid (HA). The audiogram typically forms the basis for HA fitting, i.e. people with similar audiograms are given the same prescription by default. This study aimed at identifying clinically relevant tests that may serve...

a comparison of mental health in hearing-impaired elderly with hearing aid and without hearing aid

hearing loss can affect physical, mental and social health of deaf adults and lead cause depression, anxiety, isolation, suspicion and stress. this study was aimed to compare mental health in the hearing-impaired elderly with hearing aid and hearing-impaired elderly without hearing aids referring to ahvaz imam khomeini hospital. in this cross- sectional study, the participants included 72 heari...