Lightweight AI for Healthcare Wearables and Smart Sensors

Wearable technology, artificial intelligence (AI), and smart medical sensors are rapidly converging, transforming the delivery of healthcare. Continuous health monitoring and early disease detection increasingly rely on wearable devices equipped with biosensors that collect physiological data in real time. However, traditional AI models often require computational resources that exceed the capabilities of small, battery-powered devices. This challenge has driven the development of lightweight AI technologies which enable efficient, low-power machine learning directly on embedded systems and smart sensors. These innovations are already improving healthcare across a range of applications, from cardiovascular monitoring to neurological disorder detection, where continuous patient observation is increasingly complementing or replacing periodic clinical assessments. Beyond individual devices, wearables integrated with Internet of Things networks support large-scale remote monitoring and telemedicine, while also raising important considerations related to data privacy, security, and regulatory compliance. Lightweight AI for Healthcare Wearables and Smart Sensors advances research and innovation in lightweight AI for healthcare wearables and smart sensors, emphasizing efficient, scalable, and low-power AI solutions for resource-constrained environments. This book bridges foundational concepts, optimization techniques, and practical healthcare applications, connecting theoretical AI advancements with real-world implementation. Covering topics such as biosensing technologies, ocular monitoring, and tiny machine learning, this book is a valuable resource for graduate students, doctoral researchers, biomedical engineers, healthcare professionals, cardiologists, neurologists, cybersecurity specialists, policymakers, and other researchers interested in the future of AI-enabled healthcare technologies.