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Harnessing Brainwaves: Advancing EEG-Based Interfaces for Next-Generation Healthcare
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Author(s): Piyali Datta (Institute of Engineering and Management, Kolkata, India)and Mousumi Laha (Institute of Engineering and Management, Kolkata, India)
Copyright: 2025
Pages: 34
Source title:
Design, Development, and Deployment of Cutting-Edge Medical Devices
Source Author(s)/Editor(s): Ricardo Pateiro Marcão (ISLA Santarém, Portugal)and Stéphanie Coelho Monteiro (Institute for Systems and Robotics, Portugal)
DOI: 10.4018/979-8-3693-8598-2.ch004
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Abstract
Electroencephalography (EEG)-based Brain-Computer Interface (BCI) technology has appeared as a promising path for healthcare, contributing to novel solutions for detecting, treating, and dealing with neurological conditions. By capturing and construing the electrical activities of brain signals, EEG-based BCIs empower direct brain communication with external devices, circumventing traditional neural conduits. This chapter delves into the progress of EEG-based BCI devices, emphasizing their implication in healthcare, the technical challenges tangled, and their potential to transform patient care. The key objective is to deliver a detailed exploration of the development procedure of EEG-based BCI devices, emphasizing their applications in healthcare. The chapter includes the principles of EEG signal acquisition, the design and engineering of BCI systems, the employment of machine learning algorithms for signal decoding, and the clinical validation required for medical use. Moreover, it will discuss the prospective effect of these devices on healthcare and future research directions.
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