Wearable Sensor for Health Monitoring

Dear Colleagues,

There has been a steady rise in healthcare expenditure across the globe, which has reached a staggering 11 trillion USD according to the WHO, and it is suggested to further rise with the increasing aging population. Of these costs, a significant proportion is attributed to the cost of medical products, appliances, and equipment.

Conventional diagnosis depends heavily on invasive testing and analysis, which are limited by access to sophisticated equipment and trained personnel for handling these tests. This could further limit access to these diagnostic services for most of the population.

With rapid innovation and targeted research on wearable sensors, non-invasive testing devices, and AI-driven analysis, new ways to strengthen the healthcare system by offsetting costs have been developed. The combination of wearable sensor technologies with the Internet of Things (IoT) has paved the way for continuous and remote tracking with the added advantage of real-time data visualization. By integrating AI-driven data analysis, further alerts can be issued for plausible abnormalities in the observed data. However, wearable sensor technology faces significant challenges, including sensitivity, selectivity, and specificity, when targeting multiple analytes. Although significant improvements have been made, the dream of having a single sensing platform to accurately sense multiple metabolites remains a dream. Overcoming these challenges requires multidisciplinary collaboration between material scientists, physicists, chemists, engineers, and healthcare officials to deliver a personalized, targeted, precise, and futuristic wearable sensor.

This Special Issue invites research contributions that present wearable systems, flexible systems, and IoT-based sensors for continuous health monitoring. We are particularly interested in studies that cover the following:

• Personalized sensors that target non-invasive sensing;
• Additionally, sensors that measure stress, fatigue, sleep disturbances, and breathing patterns;
• Metabolite sensing systems that target breath, tears, sweat, and urine;
• Advances in flexible and self-powered sensor systems;
• Using AI-driven analysis for early detection of health anomalies and triggering safety protocols;
• Futuristic systems that not only sense but also inject appropriate drugs to address anomalies are known as theranostic systems.

We welcome interdisciplinary research addressing the challenges of wearable sensing technologies.

Dr. Pillalamarri Srikrishnarka
Dr. Sritama Mukherjee
Guest Editors

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