Automated ABR and MMN extraction using a customized headband for hearing screening

Joshi, RK and K S, M and R S, H and A, AK and Jayachandra, M and Dandinarasaiah, M and Pandya, HJ (2024) Automated ABR and MMN extraction using a customized headband for hearing screening. In: Biomedical Signal Processing and Control, 94 .

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Abstract

Objective: Stimuli-elicited EEG responses, known as Event-Related Potentials (ERPs), reflect the health status of underlying electrophysiological processes and are frequently used for scanning sensory pathways. Current ERP extraction systems are expensive, complex, and bulky. This study aims to overcome these limitations by developing and validating a bimodal auditory ERP extractor headband. Methods: An affordable, portable bimodal auditory ERP extractor was developed and validated for ABR (Auditory Brainstem Response) and MMN (Mismatch Negativity) response interpretation. Auditory stimuli were created using Presentation software. Adaptive filtering-based extraction was performed in EEGLAB (MATLAB) to derive the neural inferences. Extracted responses from n = 5 young adults were validated against CE-certified acquisition systems used in clinical practice. Results: Validation results showed the grand average responses of ABR and MMN for n = 5 subjects matched. Furthermore, with and without stimuli ERP analysis showed significant differences for identified features (p = 0.00794 for ABR wave-V amplitudes, p = 1.22 * 10�5, and p = 2.62 * 10�5 for MMN peak latencies and area under the curves), ensuring that the response was due to the presented auditory stimuli. Conclusion: The results confirm the competency of the developed system to obtain MMN and ABR from young adults. A clear contrast between latency-amplitude scatter plots further ensures the competency of a developed system to acquire ABR and MMN. Significance: The novelty of the study is an easy-to-operate, affordable ERP extractor with adaptive filtering, wearable design, and configurable stimuli. This system can be a potential solution for large-scale hearing screening, providing detailed neural insights, including averaged responses and inter-trial variabilities. © 2024 Elsevier Ltd

Item Type:	Journal Article
Publication:	Biomedical Signal Processing and Control
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd.
Keywords:	Adaptive filtering; Adaptive filters; Audition; Biomedical signal processing; Brain; Brain computer interface; Electrophysiology; Extraction; MATLAB, Auditory brainstem response; Auditory event-related potentials; Auditory stimuli; Biopotentials; Event related potentials; Event-related potential; Hearing screening; Mismatch negativity, Electroencephalography, adult; Article; auditory screening; auditory stimulation; automation; clinical practice; controlled study; data interpretation; equipment design; evoked brain stem auditory response; feature extraction; human; human experiment; latent period; male; mismatch negativity; nerve potential; normal human; signal processing; validation study; young adult
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology) Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering Division of Mechanical Sciences > Department of Design & Manufacturing (formerly Centre for Product Design & Manufacturing) Others
Date Deposited:	08 Jul 2024 06:29
Last Modified:	08 Jul 2024 06:29
URI:	http://eprints.iisc.ac.in/id/eprint/84736

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