Your browser doesn't support javascript.
loading
Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis.
Rjoob, Khaled; Bond, Raymond; Finlay, Dewar; McGilligan, Victoria; Leslie, Stephen J; Rababah, Ali; Guldenring, Daniel; Iftikhar, Aleeha; Knoery, Charles; McShane, Anne; Peace, Aaron.
Affiliation
  • Rjoob K; Faculty of Computing, Engineering & Built Environment, Ulster University, UK. Electronic address: rjoob-k@ulster.ac.uk.
  • Bond R; Faculty of Computing, Engineering & Built Environment, Ulster University, UK.
  • Finlay D; Faculty of Computing, Engineering & Built Environment, Ulster University, UK.
  • McGilligan V; Faculty of Life & Health Sciences, Centre for Personalised Medicine, Ulster University, UK.
  • Leslie SJ; Department of Diabetes & Cardiovascular Science, University of the Highlands and Islands, Centre for Health Science, Inverness, UK.
  • Rababah A; Faculty of Computing, Engineering & Built Environment, Ulster University, UK.
  • Guldenring D; HTW Berlin, Wilhelminenhofstr. 75A, 12459 Berlin, Germany.
  • Iftikhar A; Faculty of Computing, Engineering & Built Environment, Ulster University, UK.
  • Knoery C; Department of Diabetes & Cardiovascular Science, University of the Highlands and Islands, Centre for Health Science, Inverness, UK.
  • McShane A; Emergency Department, Letterkenny University Hospital, Donegal, Ireland.
  • Peace A; Western Health and Social Care Trust, C-TRIC, Ulster University, UK.
J Electrocardiol ; 62: 116-123, 2020.
Article in En | MEDLINE | ID: mdl-32866909
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Electrocardiography / Machine Learning Type of study: Prognostic_studies / Qualitative_research / Systematic_reviews Limits: Humans Language: En Journal: J Electrocardiol Year: 2020 Type: Article
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Electrocardiography / Machine Learning Type of study: Prognostic_studies / Qualitative_research / Systematic_reviews Limits: Humans Language: En Journal: J Electrocardiol Year: 2020 Type: Article