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Integrating EEG With Smart Devices: A Theoretical Overview
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Author(s): Affaan Shaikh (Neuratia Labs, UAE), Ravi Teja Kothuru (University of San Diego, USA)and Khalid Shaikh (Prognica Labs, UAE)
Copyright: 2026
Pages: 40
Source title:
The Emerging Role of Advanced Technologies in Neurological Diseases
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)and Walid Ben Ameur (Faculty of Sciences of Gabes, Tunisia)
DOI: 10.4018/979-8-3373-2706-8.ch004
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Abstract
This chapter presents a theoretical overview of the integration of Electroencephalography (EEG) with smart devices, focusing on the technological developments, applications, and challenges in this rapidly evolving field. EEG, a non-invasive method of recording brain activity, has historically been limited to clinical and research environments. However, advancements in wearable technology, wireless communication, and signal processing have paved the way for EEG to be utilized in consumer-grade smart devices such as smartphones, smartwatches, and other IoT-connected systems. This chapter explores the theoretical underpinnings of EEG technology and how recent innovations have facilitated its incorporation into portable and wearable devices. Key applications discussed include mental health monitoring, cognitive state tracking, neurofeedback, and enhanced human-computer interactions. Additionally, the chapter addresses the technical, ethical, and privacy challenges associated with EEG-smart device integration, particularly concerning data accuracy, user comfort, and data security.
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