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.
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.
TTemesghen 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 lı
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