The aim of this book is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access especially in wearable devices. These wearable devices may include pacemakers, defibrillators, RFID devices, assistive devices for the visually impaired, magnifiers, and talking assistants. It also explores how Internet of Things (IoT) and big data technologies can be combined with these wearable devices to provide better healthcare solutions.

Features:

• Focuses on real-time implementation of deep and machine learning techniques as well as novel algorithms for smart healthcare.
• Explores innovative challenges and solutions to complex problems in assistive devices with Medical 4.0 technologies.
• Presents an overview of challenges in the design of medical wearable devices.
• Discusses different techniques on VLSI for medical devices.
• Includes a case study on an AI-tuned cardiac pacemaker.

This book is aimed at graduate students and researchers in biomedical, electrical, computer engineering, and medical technologies.

The aim of this book is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access especially in wearable devices. These wearable devices may include pacemakers, defibrillators, RFID devices, assistive devices for the visually impaired, magnifiers, and talking assistants. It also explores how Internet of Things (IoT) and big data technologies can be combined with these wearable devices to provide better healthcare solutions.

Features:

• Focuses on real-time implementation of deep and machine learning techniques as well as novel algorithms for smart healthcare.
• Explores innovative challenges and solutions to complex problems in assistive devices with Medical 4.0 technologies.
• Presents an overview of challenges in the design of medical wearable devices.
• Discusses different techniques on VLSI for medical devices.
• Includes a case study on an AI-tuned cardiac pacemaker.

This book is aimed at graduate students and researchers in biomedical, electrical, computer engineering, and medical technologies.

The aim of this book is to identify some of the challenges that need to be addressed to accelerate the deployment and adoption of smart health technologies for ubiquitous healthcare access especially in wearable devices. These wearable devices may include pacemakers, defibrillators, RFID devices, assistive devices for the visually impaired, magnifiers, and talking assistants. It also explores how Internet of Things (IoT) and big data technologies can be combined with these wearable devices to provide better healthcare solutions.

Features:

• Focuses on real-time implementation of deep and machine learning techniques as well as novel algorithms for smart healthcare.
• Explores innovative challenges and solutions to complex problems in assistive devices with Medical 4.0 technologies.
• Presents an overview of challenges in the design of medical wearable devices.
• Discusses different techniques on VLSI for medical devices.
• Includes a case study on an AI-tuned cardiac pacemaker.

This book is aimed at graduate students and researchers in biomedical, electrical, computer engineering, and medical technologies.