METHODS: This study involved 307 adults aged 60 years and older. Participants had their hearing and cognition measured using pure tone audiometry and Mini Mental State Examination (MMSE), respectively.
RESULTS: Pure tone average (low) accounted for significant but minimal amount of variance in measure of MMSE. Multiple regression analyses were also performed on normal and impaired hearing cohorts and cohorts with younger (60-69 years) and older (≥70 years) groups. The results revealed a significant relationship between PTA (low) and MMSE only in the younger age group. In contrast, no significant relationship was found between PTA (high) and cognition in any of the cohorts.
CONCLUSION: Pure tone average (low) is significantly but minimally related to measure of general cognitive status. Similar relationship is not observed between high-frequency hearing and cognition. Further research using a more comprehensive cognitive test battery is needed to confirm the lack of association between high-frequency hearing and cognition.
MATERIALS AND METHODS: The EEG signal was used as a brain response signal, which was evoked by two auditory stimuli (Tones and Consonant Vowels stimulus). The study was carried out on Malaysians (Malay and Chinese) with normal hearing and with hearing loss. A ranking process for the subjects' EEG data and the nonlinear features was used to obtain the maximum classification accuracy.
RESULTS: The study formulated the classification of Normal Hearing Ethnicity Index and Sensorineural Hearing Loss Ethnicity Index. These indices classified the human ethnicity according to brain auditory responses by using numerical values of response signal features. Three classification algorithms were used to verify the human ethnicity. Support Vector Machine (SVM) classified the human ethnicity with an accuracy of 90% in the cases of normal hearing and sensorineural hearing loss (SNHL); the SVM classified with an accuracy of 84%.
CONCLUSION: The classification indices categorized or separated the human ethnicity in both hearing cases of normal hearing and SNHL with high accuracy. The SVM classifier provided a good accuracy in the classification of the auditory brain responses. The proposed indices might constitute valuable tools for the classification of the brain responses according to the human ethnicity.