Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Craig Henriquez"'
Publikováno v:
PLoS ONE, Vol 19, Iss 1, p e0297519 (2024)
Pulmonary function tests (PFTs) are usually interpreted by clinicians using rule-based strategies and pattern recognition. The interpretation, however, has variabilities due to patient and interpreter errors. Most PFTs have recognizable patterns that
Externí odkaz:
https://doaj.org/article/d599f96fe0244fcda367d2ae52a21598
Autor:
Hung X. Nguyen, Tianyu Wu, Daniel Needs, Hengtao Zhang, Robin M. Perelli, Sophia DeLuca, Rachel Yang, Michael Pan, Andrew P. Landstrom, Craig Henriquez, Nenad Bursac
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/f565703737de4d078598a60ba6a31e7c
Autor:
Hung X. Nguyen, Tianyu Wu, Daniel Needs, Hengtao Zhang, Robin M. Perelli, Sophia DeLuca, Rachel Yang, Michael Pan, Andrew P. Landstrom, Craig Henriquez, Nenad Bursac
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Abstract Therapies for cardiac arrhythmias could greatly benefit from approaches to enhance electrical excitability and action potential conduction in the heart by stably overexpressing mammalian voltage-gated sodium channels. However, the large size
Externí odkaz:
https://doaj.org/article/e4a62bc25c4744e394d6e8b834aeeb8e
Autor:
Hengji Chen, Sangeeta Joshi, Amber J. Oberle, An-Kwok Wong, David Shaz, Suman Thapamagar, Laren Tan, James D. Anholm, Paresh C. Giri, Craig Henriquez, Yuh-Chin T. Huang
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Excessive decrease in the flow of the late expiratory portion of a flow volume loop (FVL) or “flattening”, reflects small airway dysfunction. The assessment of the flattening is currently determined by visual inspection by the pulmonary function
Externí odkaz:
https://doaj.org/article/3813fa5367294690a79df5366dd597f8
Autor:
Paresh C. Giri, Anand M. Chowdhury, Armando Bedoya, Hengji Chen, Hyun Suk Lee, Patty Lee, Craig Henriquez, Neil R. MacIntyre, Yuh-Chin T. Huang
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Analysis of pulmonary function tests (PFTs) is an area where machine learning (ML) may benefit clinicians, researchers, and the patients. PFT measures spirometry, lung volumes, and carbon monoxide diffusion capacity of the lung (DLCO). The results ar
Externí odkaz:
https://doaj.org/article/bf9c62bc61b0455ead503e0ee2e4f8ce
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Localized changes in myocardial conduction velocity (CV) are pro-arrhythmic, but high-resolution mapping of local CV is not yet possible during clinical electrophysiology procedures. This is in part because measurement of local CV at small spatial sc
Externí odkaz:
https://doaj.org/article/50f5033c208c479a8992eb929db11c72
Autor:
Miriam Zacksenhouse, Mikhail A Lebedev, Jose M Carmena, Joseph E O'Doherty, Craig Henriquez, Miguel A L Nicolelis
Publikováno v:
PLoS ONE, Vol 2, Iss 7, p e619 (2007)
BACKGROUND:During planning and execution of reaching movements, the activity of cortical motor neurons is modulated by a diversity of motor, sensory, and cognitive signals. Brain-machine interfaces (BMIs) extract part of these modulations to directly
Externí odkaz:
https://doaj.org/article/0f4b3f72b4594ebfb6b33dfd140b0590
Publikováno v:
Physica D: Nonlinear Phenomena. 440:133460
The pattern formation and spatial spread of infectious populations are investigated using a kernel-based Susceptible-Infectious-Recovered (SIR) model applicable across a wide range of basic reproduction numbers $R_o$. The focus is on the role of geog
Autor:
Hung X. Nguyen, Tianyu Wu, Daniel Needs, Hengtao Zhang, Robin M. Perelli, Sophia DeLuca, Rachel Yang, Michael Tian, Andrew P. Landstrom, Craig Henriquez, Nenad Bursac
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Therapies for cardiac arrhythmias could greatly benefit from approaches to enhance electrical excitability and action potential conduction in the heart by stably overexpressing mammalian voltage-gated sodium channels. However, the large size of these
Autor:
Craig Henriquez
Publikováno v:
The Biomedical Engineering Handbook, Second Edition. 2 Volume Set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27682b8f24a60fbd6e67d52ff8f4f0c9
https://doi.org/10.1201/9781420049510.sec2
https://doi.org/10.1201/9781420049510.sec2