Web Access Research Portal

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 TypeValue
Type of ResearchApplied Research
Research DivisionInformation and Computing Sciences
Research GroupApplied computing
Research FieldApplications in health
Research Objective DivisionInformation and Communication Services
Research Objective GroupInformation systems, technologies and services
Research Objective FieldArtificial intelligence
Visit Item on eCitehttp://ecite.utas.edu.au/148063
Digital Object Identifierdoi:10.1109/ACCESS.2021.3117969
Scopus Source URLView the full record on Scopus
Scopus Citing URLView the list of citing articles on Scopus
Web of Science® Source URLView the full record on Web of Science®
Web of Science® Citing URLView the list of citing articles on Web of Science®
Web of Science® Related URLView the list of related articles on Web of Science®
Number of Times Cited6
Number of Downloads10