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    Embedded Systems for Biomedical Applications
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      • Publisher's listprice GBP 155.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        78 445 Ft (74 710 Ft + 5% VAT)
      • Discount 10% (cc. 7 845 Ft off)
      • Discounted price 70 601 Ft (67 239 Ft + 5% VAT)

    78 445 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important.

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    Long description:

    This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation.



    Features:



    ? Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals.



    ? Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly.



    ? Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings.



    ? Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications.



    ? Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field.



    This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.

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    Table of Contents:

    1.     Introduction to Embedded System in Healthcare: Operational Environments in Healthcare Settings 2.     Embedded Systems in the medical field: pros. and cons. 3.     Automation of in the medical field: pros. and cons. 4.     Embedded system in developing imaging devices 5.     Deep Learning of Telecommunication Technology for The Efficient Utilization of Embedded Systems 6.     Role of Embedded Systems in Diagnosis and Decision-Making for Better Treatment 7.     Enhancing Remote Healthcare: Integration of ATOM ECG with eSanjeevani 8.     Artificial Intelligence in Embedded Systems for Biomedical Applications 9.     Embedded systems in metabolic bariatric surgery: from telemonitoring to deep learning applications. 10.  Integration of Machine Learning Techniques with Multi-Criteria Decision-Making for a Better Treatment 11.  Embedded systems in developing advanced strategies in healthcare management 12.  Human Health Status Detection from the Tongue Image Using Embedded Image Processing


     

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    Embedded Systems for Biomedical Applications

    Embedded Systems for Biomedical Applications

    Malviya, Rishabha; Karakuş, Selcan; Roy, Mukesh; (ed.)

    78 445 HUF

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