vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffe98433000000999e140001000200 In recent years, there has been a growing interest in the development of wearable healthcare systems, particularly in the field of electroencephalography (EEG) for brain activity monitoring. Integrated Internet of Things (IoT) EEG electrodes circuits and devices have shown promising potential for high-gain output and enhanced data accuracy in such wearable systems. This research presents the design and analysis of IoT-based EEG electrode circuits and devices, aiming to optimize their performance for efficient brain signal acquisition. The proposed EEG electrodes circuit utilizes advanced signal conditioning techniques to amplify and preprocess the weak EEG signals, resulting in a higher signal-to-noise ratio and improved sensitivity. By leveraging IoT technology, the wearable healthcare system can seamlessly transmit the processed EEG data to a centralized monitoring platform or healthcare provider. This facilitates real-time remote monitoring and analysis, enabling timely interventions for neurological disorders or other relevant medical conditions. The design optimization process involves fine-tuning the electrode placement, optimizing amplifier parameters, and exploring suitable electronic components to achieve the desired high gain output. Additionally, the integration of low-power microcontrollers and wireless communication protocols ensures energy efficiency and prolonged wearable device operation.
D. Rosy Salomi Victoria1, K. Aparna2, K. Balaji3, Sudeshna Seal4
St. Joseph’s College of Engineering, India1, JNTUA College of Engineering, India2, SSM College of Engineering, India3, OmDayal Group of Institutions, India4
Integrated IoT, EEG electrodes, Wearable Healthcare Systems, High Gain Output, Optimization
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 9 , Issue: 2 , Pages: 1551 - 1556 )
Date of Publication :
July 2023
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366
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