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Description
The book "Advanced wearable sensing in clinical practice towards healthcare 5.0" provides an overview of the state of the art that caters various professionals from clinical, scientific, and engineering backgrounds, as well as the novices that are interested in wearable sensing technology.
It presents a comprehensive overview of modern wearable technology and unmet challenges. The book covers research hotspots in wearable technology, including advanced materials, low-cost wearable sensing systems, bio-signal processing, multimodal data analysis, artificial intelligence, and internet-of-medical-things. The readers from various research backgrounds (e.g., biomedical engineering, artificial intelligence, material sciences, etc.) can get an in-depth understanding of current trends and future directions. It summarizes different technologies regarding the clinical needs, theoretical basis, latest technical innovations, challenges in implementation, and limitations. These details will help improve existing designs and algorithms to cater different application scenarios. The book also provides the details of
Chapter 1 Advanced Data Analysis Methods for Wearable Device Data.- Chapter 2 A Review on Integration of Advanced Signal Processing Techniques for Wearable ECG Bio Amplifiers: A Circuit Perspective.- Chapter 3 Blockchain for Medical Data Security with Wearable Technology: A Review of Techniques, Trends, and Future Directions.- Chapter 4 The Intersection of Privacy, Security, and Ethics: An Empowered Framework in Wearable Technology Development.- Chapter 5 Flexible Applications of Gallium-Based Liquid Metals.- Chapter 6 Accelerometry in Monitoring Physical Activities of Young Children: Technical Advancements and Concerns in Real-World Applications.- Chapter 7 Automated Detection of Shockable Ventricular Arrhythmias Using ECG Signals.- Chapter 8 Application of Wearable Sensors in Respiratory Diseases.- Chapter 9 Low-Cost Wearable Sensors for Monitoring Sleep: A Review of Recent Developments and Applications.- Chapter 10 An IoT-enabled Time-Frequency Domain Ensemble Deep Learning Framework for Detection of Pulmonary Diseases using Lung Sound Recordings.- Chapter 11 Are We There Yet? The Clinical Impact of In-Hospital Continuous Wearable Monitoring.- Chapter 12 An Overview of Emerging Wearable Sensors in the Management of Chronic Diseases.- Chapter 13 Radio Frequency Sensing for Detecting Activities of Daily Living.- Chapter 14 Electrical Impedance Tomography for Non-Invasive Screening and Monitoring of Vital Organs.
Haipeng Liu received the bachelor s and master s degrees in engineering from Zhejiang University, China, in 2012 and 2015, respectively, and the Doctor of Philosophy degree in medical sciences from The Chinese University of Hong Kong, in 2018. From 2019 to 2020, he was a Research Fellow with the Medical Technology Research Centre, Anglia Ruskin University. From 2020 to 2024, he was a Research Fellow with Coventry University. He is an Assistant Professor, a Lecturer of three undergraduate and master course modules, and a Module Leader of one, and have been invited as a guest lecturer of European Institute of Innovation and Technology (EIT) Summer School, University Hospitals Coventry and Warwickshire NHS Trust, Nottingham Trent University (U.K.) and Rushford Business School (Switzerland). He is a PI and a mentor of undergraduate student internship project of Anglia Ruskin University, and a mentor of the National Medical Research Association (NMRA, U.K.). He is the author of over 120 journal articles, 30 book chapters, and 12 conference papers, with over 2800 citations and the H-index of 28. His research interests include computational simulation of cardio-cerebrovascular diseases, AI-enhanced diagnostics, and wearable sensor development. He is a recipient of the Travel Award of British Heart Foundation, the Research and Innovation Support Fund of Anglia Ruskin University, Official Development Assistance (ODA) funding and four Ph.D. grants from Coventry University. Dr Liu is an Associate Fellow of the Higher Education Academy (AFHEA, U.K.). He is a member of the World Stroke Organization (WSO), Chinese Stroke Association (CSA, China), British Society for Cardiovascular Research (BSCR, U.K.), and Cardiovascular Analytics Group (CVAG, HKSAR of China). He is an editorial member of nine academic journals. He is a peer-reviewer of more than 200 academic papers from over 50 academic journals, four international conferences, and two book proposals.
Gary Tse matriculated at Trinity Hall, University of Cambridge in 2005 to read pre-clinical medicine. He subsequently completed his clinical training at Imperial College London, as well as PhD and MD from the University of Cambridge. He is Associate Dean (Innovations and Research) at the School of Nursing and Health Sciences, Hong Kong Metropolitan University (HKMU). He is also Distinguished Chair Professor at the Department of Cardiology, Second Hospital of Tianjin Medical University, China and a Visiting Professor at the Faculty of Health and Medical Sciences, University of Surrey. Prior to joining HKMU, Prof. Tse held a joint position as Clinical Reader at the University of Kent (with permanent appointment until retirement age) and Public Health Consultant at the Medway Council in local government, UK. He serves as a Nucleus Committee Member of the Population Health Section, European Association of Preventive Cardiology. He is a Council Member, Secretary and President-Elect of the International Society of Electrocardiology, as well as a Member of the Board of Trustees of the International Society for Holter and Non-invasive Electrocardiology. He is a Fellow of the Faculty of Public Health, Royal College of Pathologists and Royal College of Physicians, and an elected Member of the European Academy of Sciences and Arts (Class II: Medicine). He has been listed on the World s Top 2% Scientists Released by Stanford University for the Cardiovascular System & Hematology subfield since 2020. He is
