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Smart Wearable IoT: Principles and Implementation of Development Modules with Wireless Biomedical SOC

Autor Shuenn-Yuh Lee, Wei-En Lee
en Limba Engleză Paperback – mai 2026
Smart Wearable IoT: Principles and Implementation of Development Modules with Wireless Biomedical SoC focuses on the development of intelligent wearable technology integrated with the Internet and various platforms. The book provides detailed guidance on building a user-friendly development platform that features intelligent wearable systems, including bio-signal SoCs/modules, user-friendly websites/apps, and artificial intelligence (AI) systems on edge/cloud. By exploring specific case studies, such as the ECG-based fatigue analysis system, readers will gain fundamental knowledge in biosignal acquisition and processing.

This hands-on approach enables users to understand the integration of digital signal processing and artificial intelligence in analyzing physiological data, ultimately enhancing their skills in developing innovative wearable solutions.

  • Provides a structured approach to developing intelligent wearable technology integrated with IoT platforms
  • Guides readers in creating accessible platforms for bio-signal acquisition and monitoring
  • Covers the principles and applications of bio-signal SoCs/modules, AI systems, and wireless communication
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Specificații

ISBN-13: 9780443367007
ISBN-10: 0443367000
Pagini: 300
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE

Cuprins

1. Wearable Devices and Body Area Network
2. personal health guardian - Product Series
3. Lab Lesson (1) Are you tired? Principles and Implementation: Electrocardiogram (ECG)-based Fatigue Analysis System
4. Lab Lesson (2) Did you apply force? Principles and Implementation: Electromyography (EMG) Signal Measurement
5. Lab Lesson (3) Where are you looking? Principles and Implementation: Electrooculogram (EOG) Signal Measurement
6. Lab Lesson (4) Are you stressed out? Principles and Implementation: Photoplethysmography (PPG)
7. Lab Lesson (5) Do you have a heart condition? Implementation of Artificial Intelligence Heart Disease Detection using ECG Signal