Advances in Wearables and Nearables for Healthcare Applications

Wearable and nearable technologies are revolutionizing modern healthcare by enabling continuous, non-invasive, and real-time monitoring of physiological, behavioral, and environmental factors. Advancements in sensing technologies, embedded electronics, signal processing, and artificial intelligence have greatly enhanced the capabilities of wearables and nearables, making them integral to preventive healthcare, personalized medicine, remote patient monitoring, and digital therapeutics. From smartwatches and rings to ambient, nearable sensors installed in homes and healthcare settings, these technologies are revolutionizing how health data is collected, processed, and interpreted.This edited book covers original research, implementations, and comprehensive reviews to discuss recent achievements and emerging trends in wearable and nearable technology for health-related applications. The book covers aspects of signal acquisition, preprocessing, feature extraction, machine learning, and deep learning methodologies specific to data from wearable and nearable technologies. It also covers practical issues related to data reliability, clinical validation, regulatory issues, and ethical issues, as well as cloud computing, IoT, and IoMT infrastructures.Features:· Explores advanced sensing and signal processing techniques for wearable and nearable health technologies.· Discusses real-time monitoring, cloud-based analytics, and IoT/IoMT integration.· Addresses clinical validation, regulatory, and ethical challenges of wearable and nearable systems.· Presents case studies and applications in smart health monitoring, sleep analysis, cardiac, and respiratory assessment.· Provides a comprehensive reference for graduate students, researchers, and professionals in biomedical and health informatics.This book bridges the gap between theoretical foundations and practical applications in healthcare and may prove a useful resource for researchers, practitioners, and professionals working in biomedical engineering, signal processing, and intelligent health systems.