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Research Output Details
Maqsood, S and Xu, S and Springer, M and Mohawesh, R, “A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)”, IEEE Access, 9 pp. 138817-138833. ISSN 2169-3536 (2021) [Refereed Article] | |
Data Type | Value |
---|---|
Type of Research | Applied Research |
Research Division | Information and Computing Sciences |
Research Group | Applied computing |
Research Field | Applications in health |
Research Objective Division | Information and Communication Services |
Research Objective Group | Information systems, technologies and services |
Research Objective Field | Artificial intelligence |
Visit Item on eCite | http://ecite.utas.edu.au/148063 |
Digital Object Identifier | doi:10.1109/ACCESS.2021.3117969 |
Scopus Source URL | View the full record on Scopus |
Scopus Citing URL | View the list of citing articles on Scopus |
Web of Science® Source URL | View the full record on Web of Science® |
Web of Science® Citing URL | View the list of citing articles on Web of Science® |
Web of Science® Related URL | View the list of related articles on Web of Science® |
Number of Times Cited | 6 |
Number of Downloads | 10 |