Guest Editorial Advanced Wearable Sensors for Smart Monitoring and Disease Prediction

Abstract

The papers in this special issue focus on advanced wearable sensor technologies for monitoring and disease prediction. The seamless integration of sensor technologies with the smart healthcare infrastructure has leveraged the sensing and communication capabilities to monitor patient’s health parameters remotely through various wearable/medical sensors. Advanced sensor technologies enable various types of smart healthcare applications, including diagnosing the symptomatic/ asymptomatic patients’ health condition, health symptoms forecasting, disease prediction and analysis, and ontologybased recommendation. Advancements in wearable sensors and communication technologies (6G/5G and-beyond) enable the design of smart healthcare frameworks and efficiently analyzing the sensing parameters. Besides that, advanced AI-enabled technologies, including machine learning and deep learning algorithms, come into play to analyze the sensed data at remote computing devices for disease prediction and diagnosis. This special issue focus on discussions and insights into the latest advancements and technologies pertaining to these technologies.