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

Ultra Low Power ECG Processing System for IoT Devices

Buch | Softcover
XV, 94 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-07285-8 (ISBN)
93,08 inkl. MwSt

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.

T Temesghen Tekeste received the B.S. degree in electrical engineering from Asmara University, Eritrea, in 2007, and the M.S. degree in microsystems engineering from the Masdar Institute of Science and Technology, Abu Dhabi, in 2012, with a focus on low-power, mixed signal integrated circuit design that involved schematic design, simulation, layout, and verification of an ultra-low power clock generator for heart rate sensor IC. He received his Ph.D. from Khalifa University, Abu Dhabi, United Arab Emirates in 2018, where he researched on ultra-low power digital circuit design for biomedical application.. In 2006, he joined the Eritrea Institute of Technology, Asmara, as a Teaching Assistant and a Lab Instructor. He holds two issued U.S. patents, and has authored journal and conference papers. His research interest includes DSP hardware design, computer architecture, ASIC chip design, and FPGA design.

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.

Erscheinungsdatum
Reihe/Serie Analog Circuits and Signal Processing
Zusatzinfo XV, 94 p. 68 illus., 54 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 186 g
Themenwelt Mathematik / Informatik Informatik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Elektrotechnik / Energietechnik
Schlagworte Bio-Medical CMOS ICs • biomedical processors for IoT • ECG feature extraction architecture • ECG processing algorithms and architectures • Ventricular arrhythmia prediction architecture
ISBN-10 3-030-07285-1 / 3030072851
ISBN-13 978-3-030-07285-8 / 9783030072858
Zustand Neuware
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