The rapid evolution of smart wearable sensors has revolutionized the landscape of continuous health monitoring, enabling a paradigm shift from reactive to proactive healthcare delivery. These advanced devices integrate a range of miniaturized, non-invasive sensors capable of capturing real time physiological and environmental data, offering critical insights into an individual's health status. With the convergence of wireless communication, cloud computing, and artificial intelligence, wearable technologies are now equipped to process complex data streams and deliver actionable health feedback to both users and healthcare providers. This chapter presents a comprehensive exploration of the technological foundations, sensor types, emerging innovations, and key applications of smart wearable devices in healthcare. It highlights how machine learning and AI are enhancing data interpretation and personalization, while also addressing significant challenges such as data interoperability, system integration, and security compliance. The chapter identifies existing research gaps and emerging trends that are shaping the future direction of wearable health monitoring systems. By synthesizing current advancements and unresolved issues, this work aims to support future research and development efforts in creating more intelligent, accessible, and effective wearable health solutions.
Madhusudan B. KulkarniR. SivakumarBeatriz Prieto‐SimónBrian W. Pogue
Daksh SrivastavaSuraj GuptaAbhishek Singh VermaRitika Choudhary
Daksh SrivastavaSuraj GuptaAbhishek Singh VermaRitika Choudhary
Kishore Kanna RArchibald Danquah-AmoahN Kripa