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: Signal Quality Assessment in Physiological Monitoring
    sub title: State of the Art and Practical Considerations
  name:
    name part: Orphanidou, Christina.
    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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 63 p. 23 illus. in color. online resource.
  abstract: This book provides a comprehensive overview of the state of the art in signal quality assessment techniques for physiological signals, and chiefly focuses on ECG (electrocardiography) and PPG (photoplethysmography) signals obtained from wearable sensors in ambulatory clinical settings. It presents the techniques currently proposed by leading researchers, as well as examples using data from clinical trials on wearable sensors for inpatient and outpatient settings. In addition, the book assesses current approaches through a practical lens by discussing the implications of deploying the various proposed systems for clinical practices and health outcomes. As such, it will be of considerable interest to both graduate students and researchers working to develop personalized healthcare applications, as well as physiological sensor software and hardware developers.
  table of contents: 1.Introduction -- 2.Physiological Signals and Measurements -- 3.Quality Assessment of the Electrocardiogram -- 4.Quality Assessment of the Photoplethysmogram -- 5.Quality Assessment of the Arterial Blood Pressure Signal -- 6.Data fusion -- 7.Conclusion and Discussion.
  note: by Christina Orphanidou.
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Biomedical engineering
  subject:
    topic: Health informatics
  subject:
    topic: Health care management
  subject:
    topic: Health services administration
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Biomedical Engineering/Biotechnology
  subject:
    topic: Health Informatics
  subject:
    topic: Health Care Management
  classification: TK5102.9
  classification: TA1637-1638
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Bioengineering
  identifier: 9783319684154
  identifier: https://doi.org/10.1007/978-3-319-68415-4
  record info:
    record creation date: 171003
    record change date: 20191027102547.0
    record identifier: 978-3-319-68415-4