Noise Reduction With Hearing Aids
ConditionBilateral Sensorineural Hearing Loss
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age16+
SponsorNYU Langone Health
About this trial
The purpose of this study is to use an optimized version of the SEDA algorithm (SEDA-HA) for hearing aids to evaluate the benefit for listeners with varying degrees of hearing loss in realistic environments and evaluate its impact on speech perception and sound quality. The primary objective is to evaluate performance with and without the SEDA-HA algorithm on speech perception and speech reception tasks. The secondary objective is to evaluate performance of and experience with SEDA-HA integrated into a portable hearing aid prototype in the laboratory and in real-world situations outside the laboratory.
Eligibility criteria
Qualifiers
16 years of age and older
Bilateral sensorineural hearing loss. Hearing loss will be diagnosed as sensorineural by an air-bone gap of no more than 10 dB averaged across 0.5, 1, 2, and 3 kHz and Type A tympanograms.
Mild, moderate, or severe hearing loss. Hearing loss classification will be dependent on 4-frequency pure tone average (PTA, 0.5, 1, 2 and 4kHz) in the test ear. The mild group will have a PTA of 25-40 dB HL; moderate group will have a PTA of 41-60 dB HL; the severe group will have a PTA of 61-90 dB HL.
Be willing and able to provide consent.
Disqualifiers
under 16 years of age
Participants with conductive or mixed hearing loss (i.e. have more than a 10 dB air-bone gap averaged across 0.5, 1, 2, and 3 kHz or tympanograms other than Type A)
Trial design
Treatments tested in this trial
- Speech Enhancement using Decomposition Approach-Hearing Aid (SEDA-HA) algorithm
- Hearing aid (HA) prototype with SEDA-HA algorithm
Treatment groups
60 Participants
are divided into 3 treatment groupsSponsors and collaborators
NYU Langone Health
Lead sponsor
National Institute on Deafness and Other Communication Disorders (NIDCD)
Collaborator
Source ClinicalTrials.gov