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Ultra Low Power ECG Processing System for IoT Devices

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Ultra Low Power ECG Processing System for IoT Devices/ by Temesghen Tekeste Habte, Hani Saleh, Baker Mohammad, Mohammed Ismail.
Author:	Tekeste Habte, Temesghen.
other author:	Saleh, Hani.
Description:	XV, 94 p. 68 illus., 54 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electronic circuits. -
Online resource:	https://doi.org/10.1007/978-3-319-97016-5
ISBN:	9783319970165

Ultra Low Power ECG Processing System for IoT Devices
Tekeste Habte, Temesghen.

Ultra Low Power ECG Processing System for IoT Devices[electronic resource] /by Temesghen Tekeste Habte, Hani Saleh, Baker Mohammad, Mohammed Ismail. - 1st ed. 2019. - XV, 94 p. 68 illus., 54 illus. in color.online resource. - Analog Circuits and Signal Processing,1872-082X. - Analog Circuits and Signal Processing,.

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.

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 processor implemented and fabricated on chip. Coverage also includes the challenges and tradeoffs of designing ECG processors. Describes digital circuit architecture for implementing ECG processing algorithms on chip; Includes coverage of signal processing techniques for ECG processing; Features ultra-low power circuit design techniques; Enables design of ECG processing architectures and their respective on-chip implementation.

ISBN: 9783319970165

Standard No.: 10.1007/978-3-319-97016-5doiSubjects--Topical Terms:

563332
Electronic circuits.

LC Class. No.: TK7888.4

Dewey Class. No.: 621.3815

Ultra Low Power ECG Processing System for IoT Devices
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