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Design, Development and Validation of a Portable Visual P300 Event-Related Potential Extraction System

Joshi, RK and Manu, KS and Hari, RS and Jayachandra, M and Pandya, HJ (2022) Design, Development and Validation of a Portable Visual P300 Event-Related Potential Extraction System. In: 2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022, 13 - 15 October 2022, Taipei, pp. 409-413.

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Official URL: https://doi.org/10.1109/BioCAS54905.2022.9948657


Event-related potentials (ERPs), specifically neuro-potentials, provide important clinical information about cognition and sensory-motor systems. P300 is a critical involuntary endogenous ERP elicited in response to a specific change in stimuli and can be used as a metric to assess attention. A noninvasive, cost-effective P300 extractor system was designed, developed, and validated for subjective attention and working memory assessment. Standard P300 three-event visual stimuli, consisting of randomly occurring small ball, big ball (response required), and checkerboard, were generated using code in the Presentation software. These stimuli were presented to subjects using a head-mounted display (HMD). Scalp-recorded P300 responses were acquired using an Open BCI Cyton biosensing board from young adults (n=5). To validate the extracted P300 response, the experiment was repeated on the same subjects using an FDA-approved CE-certified Neuroelectric Enobio 8 system. The extracted biopotential patterns from Cz and Pz electrodes, including peak latencies for P3a and P3b components, matched in both reference and developed systems. Furthermore, the ERP imaging shows inter-trial variabilities, and a gradual increment in peak latency confirms the fatigue phenomenon during the experiment. © 2022 IEEE.

Item Type: Conference Paper
Publication: BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Brain computer interface; Helmet mounted displays, Attention; Clinical information; Design development; Design validation; Electronic system development; Electronics system; Event related potentials; Extraction systems; Peak latencies; System development, Cost effectiveness
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
Date Deposited: 09 Jan 2023 07:04
Last Modified: 09 Jan 2023 07:04
URI: https://eprints.iisc.ac.in/id/eprint/78907

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