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A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study.
McLean, Marnie K; Weaver, R Glenn; Lane, Abbi; Smith, Michal T; Parker, Hannah; Stone, Ben; McAninch, Jonas; Matolak, David W; Burkart, Sarah; Chandrashekhar, M V S; Armstrong, Bridget.
Affiliation
  • McLean MK; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Weaver RG; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Lane A; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Smith MT; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Parker H; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Stone B; College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • McAninch J; College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Matolak DW; College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Burkart S; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
  • Chandrashekhar MVS; College of Engineering and Computing, University of South Carolina, Columbia, SC 29208, USA.
  • Armstrong B; Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.
Sensors (Basel) ; 23(7)2023 Mar 24.
Article in En | MEDLINE | ID: mdl-37050488
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Processing, Computer-Assisted / Photoplethysmography Type of study: Guideline / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Signal Processing, Computer-Assisted / Photoplethysmography Type of study: Guideline / Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Country of publication: