Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Emily A Boyle"'
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Akademický článek
Comparative population structure of two deep-sea hydrothermal-vent-associated decapods (Chorocaris sp. 2 and Munidopsis lauensis) from southwestern Pacific back-arc basins.
Autor: Andrew David Thaler, Sophie Plouviez, William Saleu, Freddie Alei, Alixandra Jacobson, Emily A Boyle, Thomas F Schultz, Jens Carlsson, Cindy Lee Van Dover
Publikováno v: PLoS ONE, Vol 9, Iss 7, p e101345 (2014)
Studies of genetic connectivity and population structure in deep-sea chemosynthetic ecosystems often focus on endosymbiont-hosting species that are directly dependent on chemical energy extracted from vent effluent for survival. Relatively little att
Externí odkaz: https://doaj.org/article/d681052beeb0410b8db08da3be63b4aa
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2
Epileptiform activity in traumatic brain injury predicts post-traumatic epilepsy
Autor: Sahar F. Zafar, M. Brandon Westover, Emily J. Boyle, Jennifer A. Kim, Alexander C. Wu, Kevin J. Staley, Sydney S. Cash, Andrew J. Cole
Publikováno v: Annals of Neurology. 83:858-862
We hypothesize that epileptiform abnormalities (EAs) in the electroencephalogram (EEG) during the acute period following traumatic brain injury (TBI) independently predict first-year post-traumatic epilepsy (PTE1 ). We analyze PTE1 risk factors in tw
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07d534df0dc7361349e05673b51d85ae
https://doi.org/10.1002/ana.25211
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3
Vibrational Spectroscopy of Fe3+(CH4)n (n = 1–3) and Fe4+(CH4)4
Autor: Emily M. Boyle, Muhammad Affawn Ashraf, Christopher Copeland, Ricardo B. Metz
Publikováno v: The Journal of Physical Chemistry A. 121:2132-2137
Vibrational spectra are measured for Fe3+(CH4)n (n = 1–3) and Fe4+(CH4)4 in the C–H stretching region (2650–3100 cm–1) using photofragment spectroscopy, monitoring loss of CH4. All of the spectra are dominated by an intense peak at around 280
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d9329ab2bff09614c767753b9b9943e
https://doi.org/10.1021/acs.jpca.6b13074
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4
Automated tracking of level of consciousness and delirium in critical illness using deep learning
Autor: Haoqi Sun, Emily J. Boyle, Oluwaseun Akeju, M. Brandon Westover, Wendong Ge, Eyal Y. Kimchi, David W. Zhou, Wei-Long Zheng, Lauren M. McClain, Sunil B. Nagaraj
Publikováno v: Npj digital medicine, 2:89. Nature Publishing Group
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-8 (2019)
Over- and under-sedation are common in the ICU, and contribute to poor ICU outcomes including delirium. Behavioral assessments, such as Richmond Agitation-Sedation Scale (RASS) for monitoring levels of sedation and Confusion Assessment Method for the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d258645ce1c54d7bc86a4c6f76a6c2b
https://research.rug.nl/en/publications/76882dce-c37f-424a-a845-2901311fb0ff
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7
Electronic Health Data Predict Outcomes After Aneurysmal Subarachnoid Hemorrhage
Autor: Jennifer A. Kim, Kathryn L. O’Connor, Eva N. Postma, Sahar F. Zafar, Lucas M. Fleuren, Sophia Bechek, Siddharth Biswal, Durga Jonnalagadda, M. Brandon Westover, Apeksha Shenoy, Emily J. Boyle, Aman B. Patel, Mouhsin S. Shafi, Eric Rosenthal
Publikováno v: Neurocritical care, 28. Humana Press
BACKGROUD: Using electronic health data, we sought to identify clinical and physiological parameters that in combination predict neurologic outcomes after aneurysmal subarachnoid hemorrhage (aSAH). METHODS: We conducted a single-center retrospective
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8823547d0877f7efac032bc709849c81
https://europepmc.org/articles/PMC5886829/
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8
Electroencephalogram based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition
Autor: Emily J. Boyle, Sowmya M. Ramaswamy, Oluwaseun Akeju, Patrick L. Purdon, David W. Zhou, Sunil B. Nagaraj, Siddharth Biswal, M. Brandon Westover, Lauren M. McClain
Publikováno v: Ieee transactions on biomedical engineering, 65(12), 2684-2691. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Objective : This study was performed to evaluate how well states of deep sedation in ICU patients can be detected from the frontal electroencephalogram (EEG) using features based on the method of atomic decomposition (AD). Methods : We analyzed a cli
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca1bff2efb918d6d1e10255872b8c32
https://europepmc.org/articles/PMC6424570/
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10
Heart rate variability as a biomarker for sedation depth estimation in ICU patients
Autor: Eric Rosenthal, Sunil B. Nagaraj, Emily J. Boyle, Lauren M. McClain, Sowmya M. Ramaswamy, Patrick L. Purdon, Siddharth Biswal, David W. Zhou, M. Brandon Westover
Publikováno v: EMBC
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b49a85ddc248960b4b692d8eb2b98c1c
https://doi.org/10.1109/embc.2016.7592192
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