rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Practical guide for biomedical signals analysis using machine learning techniques
    sub title: a MATLAB based approach
  name:
    name part: Subasi, Abdulhamit
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis.
  note: Abdulhamit Subasi.
  note: Includes index.
  note: Includes bibliographical references and index.
  subject:
    topic: Biosensors
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Signal processing
    topic: Digital techniques
  subject:
    topic: Signal Processing, Computer-Assisted
  subject:
    topic: Machine Learning
  subject:
    topic: Spectrum Analysis
  subject:
    topic: Biosensing Techniques
  subject:
    topic: Biocapteurs
  subject:
    topic: Intelligence artificielle
    topic: Applications en médecine
  subject:
    topic: Traitement du signal
    topic: Techniques numériques
  subject:
    topic: HEALTH & FITNESS
    topic: Holism
  subject:
    topic: HEALTH & FITNESS
    topic: Reference
  subject:
    topic: MEDICAL
    topic: Alternative Medicine
  subject:
    topic: MEDICAL
    topic: Atlases
  subject:
    topic: MEDICAL
    topic: Essays
  subject:
    topic: MEDICAL
    topic: Family & General Practice
  subject:
    topic: MEDICAL
    topic: Holistic Medicine
  subject:
    topic: MEDICAL
    topic: Osteopathy
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Biosensors
  subject:
    topic: Signal processing
    topic: Digital techniques
  classification: R857.B54
  classification: 610.285
  classification: 2019 F-462
  classification: W 26.55.A7
  related item:
    identifier: (OCoLC)1057647104
  identifier: 9780128176733
  identifier: 0128176733
  identifier: 9780128174449
  identifier: 0128174447
  identifier: 9780128176733 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 190320
    record change date: 20260327162715.6
    record identifier: in00005764731
    language of cataloging:
      language term: eng