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: Using a podcast application to collect high-quality speech data online for acoustic analysis in people with Parkinson's Disease
  name:
    name part: Murali, Mridhula
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Parkinson's disease (PD) is a neurodegenerative syndrome that results in various movement abnormalities, including a resting tremor, bradykinesia (slow or reduced range of movement), rigidity due to increased muscle tone, a delay in the initiation of movements, and disturbances of postural reflexes. This can lead to secondary conditions such as depression, dementia, swallowing difficulties, and a speech disorder called hypokinetic dysarthria. The aim of this doctoral project is to find robust and "trackable" markers in hypokinetic dysarthria associated with PD across two-time points. These markers could indicate a change in PD motor symptoms. The original plan for this study was to take speech recordings of people with PD and age-matched controls, face to face in a recording studio, for acoustic analysis. However, with the onset of the COVID-19 pandemic, a change of plan was required. The move to online data collection presented several new challenges while also having a positive effect on participant numbers. This case study focuses on the data collection process used to collect speech data online from people with PD and a control group for the purpose of acoustic analysis. Issues encountered in collecting reliable speech data online are discussed, including the key factors of consideration such as audio quality, ease of the data collection process for participants, and the available methods to record speech data remotely. Finally, the application of this method of data collection in other linguistics studies and wider use in social sciences is outlined.
  target audience: specialized
  note: Mridhula Murali.
  subject:
    topic: Parkinson's disease
  subject:
    topic: Participant observation
  subject:
    topic: Maladie de Parkinson
  subject:
    topic: Parkinson's disease
  subject:
    topic: Participant observation
  classification: RC382 .M87 2022
  classification: 616.833
  related item:
    title info:
      title: SAGE research methods: doing research online
  identifier: 9781529600575
  identifier: 152960057X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 220207
    record change date: 20240923170340.9
    record identifier: in00005494843
    language of cataloging:
      language term: eng