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Ultra Low Power ECG Processing System for IoT Devices (Hardcover, 1st ed. 2019) Loot Price: R1,517
Discovery Miles 15 170
Ultra Low Power ECG Processing System for IoT Devices (Hardcover, 1st ed. 2019): Temesghen Tekeste Habte, Hani Saleh, Baker...

Ultra Low Power ECG Processing System for IoT Devices (Hardcover, 1st ed. 2019)

Temesghen Tekeste Habte, Hani Saleh, Baker Mohammad, Mohammed Ismail

Series: Analog Circuits and Signal Processing

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Loot Price R1,517 Discovery Miles 15 170 | Repayment Terms: R142 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Analog Circuits and Signal Processing
Release date: September 2018
First published: 2019
Authors: Temesghen Tekeste Habte • Hani Saleh • Baker Mohammad • Mohammed Ismail
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 94
Edition: 1st ed. 2019
ISBN-13: 978-3-319-97015-8
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-97015-1
Barcode: 9783319970158

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