Advanced Electroencephalography Analytical Methods Fundamentals Acquisition And Applications (Hb 2025) at Meripustak

Advanced Electroencephalography Analytical Methods Fundamentals Acquisition And Applications (Hb 2025)

Books from same Author: Naik G

Books from same Publisher: Taylor & Francis

Related Category: Author List / Publisher List


  • Retail Price: ₹ 11669/- [ 11.00% off ]

    Seller Price: ₹ 10385

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 11.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 11.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Naik G
    PublisherTaylor & Francis
    Edition1st Edition
    ISBN9781032171708
    Pages268
    BindingPaperback
    LanguageEnglish
    Publish YearNovember 2024

    Description

    Taylor & Francis Advanced Electroencephalography Analytical Methods Fundamentals Acquisition And Applications (Hb 2025) by Naik G

    Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using non-linear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience. The book: · Includes a comprehensive review on biomedical signals nature and acquisition aspects · Focuses on selected applications of neurosciences/ cardiovascular/muscle related biomedical areas · Provides a machine learning update to a classical biomedical signal processing approach · Explains deep learning and application to biomedical signal processing and analysis