Ultra Low Power ECG Processing System for IoT Devices

• Κύριοι συγγραφείς: Tekeste Habte, Temesghen (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Saleh, Hani (http://id.loc.gov/vocabulary/relators/aut), Mohammad, Baker (http://id.loc.gov/vocabulary/relators/aut), Ismail, Mohammed (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Analog Circuits and Signal Processing,
• Θέματα: Electronic circuits.; Biomedical engineering.; Signal processing.; Image processing.; Speech processing systems.; Circuits and Systems.; Biomedical Engineering and Bioengineering.; Signal, Image and Speech Processing.

 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.