Advanced Wearable Sensing in Clinical Practice Towards Healthcare 5.0

Liu, HaipengEDT/ Tse, GaryEDT/ Wang, XinhongEDT

Springer, Berlin; Springer（2026/07発売）

• 製本 Hardcover:ハードカバー版
• 商品コード 9783032199836

Full 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 the implementation of advanced wearable sensors in different clinical settings including population screening, clinical diagnosis, to remote healthcare monitoring. The targeted diseases include cardiovascular, neurological, respiratory, metabolic, and other chronic diseases. By analyzing relevant standards and regulations, the challenges for next-generation wearable sensors are discussed in the context of healthcare ecosystem from a perspective of healthcare 5.0.

 In summary, the book focus on technical innovations but also delves into clinical and regulatory aspects. It caters a broad spectrum of readers. Clinical researchers, healthcare professionals, and students can obtain a better grasp of current trends of wearable technology. Biomedical engineers can understand the clinical needs, the state of the art, and the challenges in implementation, to develop better wearable sensors and algorithms for signal processing and data analysis. Public health researchers and policymakers can update the regulations and clinical guidelines to enable the integration of advanced wearable sensing technologies into current healthcare ecosystems.

Contents

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.