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



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Autore: Tekeste Habte Temesghen Visualizza persona
Titolo: Ultra Low Power ECG Processing System for IoT Devices [[electronic resource] /] / by Temesghen Tekeste Habte, Hani Saleh, Baker Mohammad, Mohammed Ismail Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (105 pages)
Disciplina: 621.3815
Soggetto topico: Electronic circuits
Biomedical engineering
Signal processing
Image processing
Speech processing systems
Circuits and Systems
Biomedical Engineering and Bioengineering
Signal, Image and Speech Processing
Persona (resp. second.): SalehHani
MohammadBaker
IsmailMohammed
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Ultra Low Power ECG Processing System for IoT Devices  Visualizza cluster
ISBN: 3-319-97016-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337647403321
Lo trovi qui: Univ. Federico II
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Serie: Analog Circuits and Signal Processing, . 1872-082X