1st Edition
Advances in Wearables and Nearables for Healthcare Applications
Chapter 1: Sleep Apnea Detection Using Wearable Sensors: Principles, Methods, and Challenges
Author(s): Sara Mohan George
Chapter 2: Deep Learning–Driven Classification Techniques for Wearable and Nearable Health Devices
Author(s): R. Girija; S. L. Jayalakshmi; S. L. Jothi Lakshmi
Chapter 3: Wearable Devices and Deep Learning for Tremor Monitoring, Parkinson’s Disease Management, and Rehabilitation
Author(s): A. Brindhaa; P. Arjunan; N. Deepa
Chapter 4: From Metrics to Meaning: An Embodied Cognition Framework for Conversational, Human-in-the-Loop Neurowearable Interfaces
Author(s): Arun Sasidharan; Karthik Raghavendran; Vrinda M; Aditya Asopa; Soumya Bhattacharjee; Karthik Venkataraman; Fayaz Pathan Khan
Chapter 5. Beyond Pristine Signals: A Paradigm Shift Toward Robust Multimodal Feature Analysis for Mental State Assessment Using Consumer Neurowearables
Author(s): Arun Sasidharan; Vrinda M; Varsha Vijayan; Fayaz Pathan Khan; Karthik Raghavendran
Chapter 6. A Wearable Threshold-Based System for COVID-19 Severity Assessment
Author(s): Maria Inês Barbosa; Pedro Ribeiro; Patrícia Batista; Ganesh R. Naik; João Alexandre Lobo Marques; Pedro Miguel Rodrigues
Chapter 7. Wearable–Cloud-Based System for COVID-19 Severity Discrimination Through Multiband Nonlinear Modelling
Author(s): Pedro Ribeiro; João Alexandre Lobo Marques; Daniel Pordeus; Maria Inês Barbosa; Laíla Zacarias; Manoel Alves Sobreira-Neto; Arnaldo Aires Peixoto Jr.; Bruno Catarino Bispo; Adriel de Oliveira; Victor Hugo C. de Albuquerque; Ganesh R. Naik; Camila Ferreira Leite; João Paulo Madeiro; Pedro Miguel Rodrigues
Chapter 8. EEG Wearable Platform for Stress Assessment and Reduction in Patients with Chronic Stress
Author(s): João Alexandre Lobo Marques; Francisco Sulivan Bastos Mota; Camila Guerra; Pedro Miguel Rodrigues; Paulo Cezar Nascimento Filho; Ganesh R. Naik
Chapter 9. Explainable AI for Wearable Multimodal Stress Detection: Deep Learning Interpretation and High-Accuracy Evaluation on the WESAD Dataset
Author(s): Roney Malaguti; Vitor Emmanuel Andrade; Francisco Nauber Bernardo Gois; Ganesh R. Naik; João Alexandre Lobo Marques
Chapter 10. Photoplethysmography-Driven Human–Computer Interface: Advancements Toward Robust Physiological Control Systems
Author(s): Piyush Swami
Chapter 11. Savemom’s Wearable Device for Monitoring Maternal and Child Health
Author(s): Shruthi S. Sharma
Chapter 12. Sleep Tracking Technologies: Neurophysiological Foundations, Multimodal Wearable Architectures, and Algorithmic Methodologies
Author(s): Arpita Kulkarni; Jyoti R. Munavalli
Biography
Ganesh R. Naik Dr. Ganesh R. Naik is a globally recognized biomedical engineer and signal processing expert, ranked in the top 2% of researchers by Stanford University. He holds a PhD from RMIT University and is currently an Associate Professor in Computer Science and IT at Torrens University Australia. A prolific researcher, he has edited 18 books and authored over 175 papers. Dr. Naik is an associate editor for several prestigious journals, including IEEE ACCESS. His career includes significant research roles at Flinders University, Western Sydney University, and the University of Technology Sydney, where he contributed to advancements in sleep health and wearable technologies. He has received numerous fellowships, including from the Royal Academy of Engineering UK, the Government of Australia, and Germany's Baden–Württemberg Scholarship.
