Advances in Wearables and Nearables for Healthcare Applications

Ganesh R. Naik

• Publisher: CRC Press
• Year: 2026
• Print ISBN:
  9781032796543
• Edition: 1
• eBook ISBN:
  9781040680124
• Topic: Technology & Engineering
• Subtopic: Biomedical Science
• Index: Technology & Engineering

Wearable and nearable technologies are revolutionizing modern healthcare by enabling continuous, noninvasive, and real-time monitoring of physiological, behavioral, and environmental factors. Advancements in sensing technologies, embedded electronics, signal processing, and artificial intelligence (AI) 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 (ML), and deep learning (DL) 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, Internet of Things (IoT), and Internet of Medical Things (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.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Table of Contents
• Preface
• About the Editor
• Contributors
• 1 Sleep Apnea Detection Using Wearable Sensors: Principles, Methods and Challenges
• 2 Deep Learning-Driven Classification Techniques for Wearable and Nearable Health Devices
• 3 Wearable Devices and Deep Learning for Tremor Monitoring, Parkinson’s Disease Management, and Rehabilitation
• 4 From Metrics to Meaning: An Embodied Cognition Framework for Conversational, Human-in-the-Loop Neurowearable Interfaces
• 5 Beyond Pristine Signals: A Paradigm Shift Towards Robust Multimodal Feature Analysis for Mental State Assessment with Consumer Neurowearables
• 6 A Wearable Threshold-Based System for COVID-19 Severity Assessment
• 7 Wearable-Cloud Based System for COVID-19 Severity Discrimination Through Multiband Nonlinear Modeling
• 8 Electroencephalogram Wearable Platform for Stress Assessment and Reduction for Patients Submitted to Chronic Stress
• 9 Explainable Artificial Intelligence for Wearable Multimodal Stress Detection: Deep Learning Interpretation and High-Accuracy Evaluation on the WESAD Dataset
• 10 Photoplethysmography-Driven Human-Computer Interface: Advancement Towards Robust Physiological Control Systems
• 11 Savemom’s Wearable Device for the Monitoring of Maternal and Child Health
• 12 Sleep Tracking Technologies: Neurophysiological Foundations, Multimodal Wearable Architectures, and Algorithmic Methodologies
• Index