Hidden hearing loss is a challenging condition to detect early on, often lea
ding individuals to seek treatment only when their hearing is significantly
impaired, resulting in irreversible consequences. Our system comprises fo
ur main components:1.The "Ear Scale App": This application serves as a hearing screening tool,which when used with specialized headphones, allows users to conduct he
aring screenings in non-soundproof environments.2.An intelligent big data application system: This system utilizes big data t
echnology to analyze and compare the collected data, enabling statistical
analysis and trend predictions for deeper insights into hearing loss patter
ns.
3.A machine learning cloud monitoring system: Leveraging the data from
the intelligent big data application system, this component establishes m
achine learning models to monitor changes in users' hearing abilities ov
er time. By detecting early signs of hidden hearing loss, the system can pr
ompt timely intervention and treatment to prevent further deterioration.
4.Active noise-cancelling algorithms: Integrated into the headphones, the
se algorithms enhance the accuracy of the hearing tests by eliminating ext
ernal interferences, ensuring precise results even in various noise scenario
s.
We have validated the feasibility of this system through a pure-tone scree
ning activity conducted at Tianmu Elementary School in Taipei City. The ex
perimental results indicate that our system not only detects hidden hearin
g loss in children at an early stage but also produces comparable results t
o those obtained from professional hearing testing instruments.
In summary, we envision that through this system, individuals with hidden
hearing loss and sudden deafness can perform self-assessments at home,
track their hearing status, and receive comprehensive assistance for audit
ory rehabilitation.