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: Acoustic Sensors for Biomedical Applications
  name:
    name part: Dey, Nilanjan.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Ashour, Amira S.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Mohamed, Waleed S.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Nguyen, Nhu Gia.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 55 p. 13 illus. online resource.
  abstract: In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare. .
  table of contents: Chapter1: Introduction -- Chapter2: Biomedical Signals -- Chapter3: Acoustic Wave Technology -- Chapter4: Acoustic Sensors -- Chapter5: Acoustic Sensors in Biomedical Applications -- Chapter6: Conclusion.
  note: by Nilanjan Dey, Amira S. Ashour, Waleed S. Mohamed, Nhu Gia Nguyen.
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Biomedical engineering
  subject:
    topic: Radiology
  subject:
    topic: Computational linguistics
  subject:
    topic: Bioinformatics
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Natural Language Processing (NLP)
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Ultrasound
  subject:
    topic: Computational Linguistics
  subject:
    topic: Bioinformatics
  classification: TK5102.9
  classification: TA1637-1638
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
  identifier: 9783319922256
  identifier: https://doi.org/10.1007/978-3-319-92225-6
  record info:
    record creation date: 180720
    record change date: 20191027121908.0
    record identifier: 978-3-319-92225-6