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Ultra Low Power ECG Processing System for IoT Devices / by Temesghen Tekeste Habte, Hani Saleh, Baker Mohammad, Mohammed Ismail

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Analog Circuits and Signal Processing | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2019Description: Online-Ressource (XV, 94 p. 68 illus., 54 illus. in color, online resource)ISBN:
  • 9783319970165
Subject(s): Additional physical formats: 9783319970158 | 9783319970172 | Erscheint auch als: 978-3-319-97015-8 Druck-Ausgabe | Printed edition: 9783319970158 | Printed edition: 9783319970172 DDC classification:
  • 621.3815
LOC classification:
  • TK7888.4
DOI: DOI: 10.1007/978-3-319-97016-5Online resources: Summary: 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 implementationSummary: 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 predictionPPN: PPN: 1031840605Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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