Digital Health

Mobile and Wearable Devices for Participatory Health Applications

Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque

• Publisher: Elsevier
• Year: 2020
• Print ISBN:
  9780128200773
• eBook ISBN:
  9780128200780
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

Digital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or implementation of mobile and wearable solutions in the healthcare domain. The book presents a comprehensive overview of devices and appropriateness for the respective applications. It also explores the ethical, privacy, and cybersecurity aspects inherent in networked and mobile technologies. It offers expert perspectives on various approaches to the implementation and integration of these devices and applications across all areas of healthcare. The book is designed with a multidisciplinary audience in mind; from software developers and biomedical engineers who are designing these devices to clinical professionals working with patients and engineers on device testing, human factors design, and user engagement/compliance. - Presents an overview of important aspects of digital health, from patient privacy and data security to the development and implementation of networks, systems, and devices - Provides a toolbox for stakeholders involved in the decision-making regarding the design, development, and implementation of mHealth solutions - Offers case studies, key references, and insights from a wide range of global experts

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Dedication
• Contributors
• List of reviewers
• Preface
• Chapter 1. Introduction to digital health approach and mHealth applications for participatory health
• Chapter 2. Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and patient care to a new level
• Chapter 3. Wearables, smartphones, and artificial intelligence for digital phenotyping and health
• Chapter 4. Artificial intelligence/machine learning solutions for mobile and wearable devices
• Chapter 5. mHealth for research: participatory research applications to gain disease insights
• Chapter 6. Mobile health apps: the quest from laboratory to the market
• Chapter 7. mHealth in public health sector: challenges and opportunities in low- and middle-income countries: a case study of Sri Lanka
• Chapter 8. How to use the Integrated-Change Model to design digital health programs
• Chapter 9. Illustration of tailored digital health and potential new avenues
• Chapter 10. Sustainability of mHealth solutions for healthcare system strengthening
• Chapter 11. Digital health regulatory and policy considerations
• Index