Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm

Argha, A; Celler, BG; Alinejad-Rokny, H; Lovell, NH

Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm

Argha, A

Celler, BG Alinejad-Rokny, H Lovell, NH

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Instrumentation and Measurement, 2022, 71, pp. 1-10
Issue Date:: 2022-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Published versionAdobe PDF (2.12 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Argha, A https://orcid.org/0000-0002-8276-9774
dc.contributor.author	Celler, BG
dc.contributor.author	Alinejad-Rokny, H
dc.contributor.author	Lovell, NH
dc.date.accessioned	2023-04-05T01:19:25Z
dc.date.available	2023-04-05T01:19:25Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Transactions on Instrumentation and Measurement, 2022, 71, pp. 1-10
dc.identifier.issn	0018-9456
dc.identifier.issn	1557-9662
dc.identifier.uri	http://hdl.handle.net/10453/169129
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Instrumentation and Measurement
dc.relation.isbasedon	10.1109/tim.2022.3217865
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0299 Other Physical Sciences, 0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.title	Blood Pressure Estimation From Korotkoff Sound Signals Using an End-to-End Deep-Learning-Based Algorithm
dc.type	Journal Article
utslib.citation.volume	71
utslib.for	0299 Other Physical Sciences
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-04-05T01:19:24Z
pubs.publication-status	Published
pubs.volume	71

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169129