Ultra Low Power ECG Processing System for IoT Devices

• Main Authors: Tekeste Habte, Temesghen (Author, http://id.loc.gov/vocabulary/relators/aut), Saleh, Hani (http://id.loc.gov/vocabulary/relators/aut), Mohammad, Baker (http://id.loc.gov/vocabulary/relators/aut), Ismail, Mohammed (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Analog Circuits and Signal Processing,
• Subjects: Electronic circuits.; Biomedical engineering.; Signal processing.; Image processing.; Speech processing systems.; Circuits and Systems.; Biomedical Engineering and Bioengineering.; Signal, Image and Speech Processing.

This book describes an ECG processing architecture that guides biomedical SoC developers, from theory to implementation and testing. The authors provide complete coverage of the digital circuit implementation of an ultra-low power biomedical SoC, comprised of a detailed description of an ECG process...

Table of Contents:

• Chapter 1. Introduction
• Chapter 2. IoT for Healthcare
• Chapter 3.Background on ECG Processing
• Chapter 4.Combined CLT and DWT Based ECG Feature Extractor
• Chapter 5.ACLT based QRS Detection and ECG Compression Architecture
• Chapter 6. Ultra-Low Power CAN Detection and VA prediction.