IoT Enabled Health Monitoring System using Machine Learning Algorithm

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S, Sheik Mohammed. and Sheela, T. and Muthumanickam, T. (2022) IoT Enabled Health Monitoring System using Machine Learning Algorithm. In: UNSPECIFIED.

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Abstract

Internet of Things (IoT) is increasingly used in smart health monitoring. Existing systems collect basic vital information. This study proposes a system analyzing brain signals from 24 EEG channels for patients with Cerebral Palsy (CP), using Machine Learning and Neural Networks in Python. Data is preprocessed, filtered using PCA, and analyzed to predict seizures and suggest tentative treatment, with optimized solutions provided via cloud storage access. © 2023 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Computer Science Applications
Computer Science > Information Systems and Management
Computer Science > Computer Networks and Communications
Engineering > Aerospace Engineering
Engineering > Electrical and Electronic Engineering
Physics and Astronomy > Instrumentation
Divisions: Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India > Multi-Disciplinary Centre for Biomedical Research
Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India > General Medicine
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 02 Dec 2025 09:25
URI: https://ir.vmrfdu.edu.in/id/eprint/2887

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