Advances in flexible sensor monitoring technology for neurodegenerative diseases in the elderly

Abstract

The aging population has led to a rise in neurodegenerative diseases (NDDs) like Alzheimer's and Parkinson's creating significant public health challenges. Traditional monitoring methods often lack continuity and real-time data, limiting their effectiveness. Advances in flexible sensors, combined with artificial intelligence and big data analytics, enable real-time analysis of multi-parameter physiological data, improving detection rates and supporting personalized treatment. Innovations such as self-powered triboelectric nanogenerators and graphene-based materials further enhance sensor reliability and efficiency, ensuring seamless patient monitoring. This article discusses the integration of flexible sensors with modern monitoring devices, focusing on advancements in sensor design optimization, energy management circuits, and intelligent data processing algorithms. These innovations aim to develop robust, self-sustaining systems for accurate, real-time health data monitoring. Such systems hold promise for enabling early interventions and enhancing the quality of life for elderly patients.

Keywords: artificial intelligence; flexible sensors; health monitoring; neurodegenerative diseases; self-powered systems.