Zobrazeno 1 - 10
of 257
pro vyhledávání: '"Branko G Celler"'
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43154 (2023)
BackgroundTuberculosis (TB) was the leading infectious cause of mortality globally prior to COVID-19 and chest radiography has an important role in the detection, and subsequent diagnosis, of patients with this disease. The conventional experts readi
Externí odkaz:
https://doaj.org/article/022e395fd1ff4bdbba7a2b65a7e696a9
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0201123 (2018)
We present a robust method for testing and calibrating the performance of oscillometric non-invasive blood pressure (NIBP) monitors, using an industry standard NIBP simulator to determine the characteristic ratios used, and to explore differences bet
Externí odkaz:
https://doaj.org/article/b8caef3fc8344eb0bea1f786cf16faf5
Autor:
Hairong Yu, Yi Zhang, Lin Ye, Hamzah M. Alqudah, Kairui Guo, Ahmadreza Argha, Branko G. Celler, Rong Song, Steven Su
Publikováno v:
IEEE Access, Vol 8, Pp 224621-224630 (2020)
Intelligent regulation for human exercise behaviors becomes significantly necessary for exercise medicine after the COVID-19 epidemic. The key issue of exercise regulation and its potential development for intelligent exercise is to describe human ex
Externí odkaz:
https://doaj.org/article/a230e7a113e2443caef03d147d891ab0
Publikováno v:
IEEE Access, Vol 7, Pp 113427-113439 (2019)
In general, existing machine learning based approaches, developed for systolic and diastolic blood pressure (SBP and DBP) estimation from oscillometric waveforms (OWs), employ features extracted from the OW envelope (OWE) alone and ignore important b
Externí odkaz:
https://doaj.org/article/1d2715ef1c554bc890e538d52679b7ce
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Orthostatic intolerance (OI), a disorder of the autonomic nervous system, it is the development of symptoms when standing upright which are relieved when reclining. Head-up tilt (HUT) table test is a common test for assessing orthostatic tolerance. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19a9b8de273745f2f516dc31205cfa8
https://pubmed.ncbi.nlm.nih.gov/36086388
https://pubmed.ncbi.nlm.nih.gov/36086388
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:1257-1264
The use of automated non-invasive blood pressure (NIBP) measurement devices is growing, as they can be used without expertise, and BP measurement can be performed by patients at home. Non-invasive cuff-based monitoring is the dominant method for BP m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2499921f5fe6a74fa4b72244f970a1cc
https://doi.org/10.1109/jbhi.2020.3012567
https://doi.org/10.1109/jbhi.2020.3012567
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:3631-3641
This article presents a novel method of estimating systolic blood pressure (SBP) and diastolic BP (DBP) from time-domain features extracted from auscultatory and oscillometric waveforms and using Gaussian Mixture Models and Hidden Markov Model (GMM-H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e6dbfb616b90fc24d5dde656ef0d955
https://doi.org/10.1109/tim.2019.2937074
https://doi.org/10.1109/tim.2019.2937074
Autor:
Branko G. Celler, Ahmadreza Argha
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 69:3614-3622
This article presents a novel method for estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) from time-domain features extracted from oscillometric waveforms (OWs) using a long short-term memory (LSTM) recurrent neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c44be50a8e1f57b49339877afe2d05
https://doi.org/10.1109/tim.2019.2941037
https://doi.org/10.1109/tim.2019.2941037
Cardiovascular disease is known as the number one cause of death globally, with elevated blood pressure (BP) being the single largest risk factor. Hence, BP is an important physiological parameter used as an indicator of cardiovascular health. The us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b319fb12147a70a14dd146f038743d
https://hdl.handle.net/10453/169659
https://hdl.handle.net/10453/169659
