Development of Multimodal Biosignal Monitoring Systems for Automated Health Diagnostics and Rehabilitation Via Machine Learning
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Kwon, Kang Kyu
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Abstract
The objective of the proposed research is to develop a comprehensive multimodal bio-signal monitoring system capable of facilitating automated health diagnostics and rehabilitation through the application of advanced machine learning techniques. This research aims to address the growing need for efficient, accurate, and accessible health monitoring and support systems in diverse health scenarios. The projects undertaken as part of this research encompass a wide range of applications: 1. Intelligent Exoskeleton System, 2. Dysphagia Monitoring System, 3. Smart Mask System, 4. Full-body Monitoring System, 5. Sleep Monitoring System. Collectively, these projects are designed to solve essential challenges in health monitoring and rehabilitation. The approach involves a multidisciplinary strategy, blending the realms of bioelectronics, machine learning, and practical clinical applications to cater to specific health monitoring and rehabilitation needs. The ambition of this research is to provide innovative, technologically sophisticated, yet accessible solutions for widespread application in the field of automated health diagnostics and rehabilitation.
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2024-04-29
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