Zobrazeno 1 - 10
of 101
pro vyhledávání: '"George B. Moody"'
Publikováno v:
International Journal of Clinical Medicine. :688-692
Cardiovascular and cerebrovascular events have been observed during night-time associated with periodic breathing including sleep apnea and Cheyne-Stokes respiration. Early detection and treatment is important to reduce night-time events. We clarifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1b5c0ac8ab6dbb195ba2e8afaf703b
https://doi.org/10.4236/ijcm.2012.37123
https://doi.org/10.4236/ijcm.2012.37123
Autor:
George B, Moody
Publikováno v:
Computing in cardiology. 40
This paper describes LightWAVE, recently-developed open-source software for viewing ECGs and other physiologic waveforms and associated annotations (event markers). It supports efficient interactive creation and modification of annotations, capabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ccedc7cfd75bed4691a8acbaa57a5ef6
https://pubmed.ncbi.nlm.nih.gov/26525640
https://pubmed.ncbi.nlm.nih.gov/26525640
Autor:
George B. Moody, Benjamin Moody, Gari D. Clifford, Julien Oster, Ikaro Silva, Alistair E. W. Johnson, Joachim Behar
Publikováno v:
Physiological Measurement
Physiological Measurement, IOP Publishing, 2015, 36 (8), pp.1629-1644. ⟨10.1088/0967-3334/36/8/1629⟩
Physiological Measurement, IOP Publishing, 2015, 36 (8), pp.1629-1644. ⟨10.1088/0967-3334/36/8/1629⟩
International audience; This editorial reviews the background issues, the design, the key achievements, and the follow-up research generated as a result of the PhysioNet/Computing in Cardiology (CinC) Challenge 2014, published in the concurrent focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4379a28aa9d9ed9555378e95ad902991
https://hal.univ-lorraine.fr/hal-01737198
https://hal.univ-lorraine.fr/hal-01737198
Autor:
Ryan P. Adams, George B. Moody, Louis Mayaud, Atul Malhotra, Li-wei H. Lehman, Shamim Nemati, Roger G. Mark
Publikováno v:
IEEE journal of biomedical and health informatics, vol 19, iss 3
Lehman, L-WH; Adams, RP; Mayaud, L; Moody, GB; Malhotra, A; Mark, RG; et al.(2015). A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 19(3), 1068-1076. doi: 10.1109/JBHI.2014.2330827. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/4fg6r1jd
PMC
Lehman, L-WH; Adams, RP; Mayaud, L; Moody, GB; Malhotra, A; Mark, RG; et al.(2015). A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 19(3), 1068-1076. doi: 10.1109/JBHI.2014.2330827. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/4fg6r1jd
PMC
Cardiovascular variables such as heart rate (HR) and blood pressure (BP) are regulated by an underlying control system, and therefore, the time series of these vital signs exhibit rich dynamical patterns of interaction in response to external perturb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca58b8d253036eadb8e0410b5136d62
https://escholarship.org/uc/item/4fg6r1jd
https://escholarship.org/uc/item/4fg6r1jd
Autor:
Mohammad M. Ghassemi, Thomas Brennan, Tristan Naumann, Christopher Moses, George B. Moody, Nikore, Leo Anthony Celi, Marco A. F. Pimentel, Andrea Ippolito, Andrew J. Zimolzak, David J. Stone, Mengling Feng, Alistair Johnson, Roger G. Mark, Louis Mayaud, Tom J. Pollard, Mauro Santos, Omar Badawi
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 3, Iss 1, p e6 (2015)
JMIR Medical Informatics, Vol 3, Iss 1, p e6 (2015)
With growing concerns that big data will only augment the problem of unreliable research, the Laboratory of Computational Physiology at the Massachusetts Institute of Technology organized the Critical Data Conference in January 2014. Thought leaders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff91a68ee302d6c0fa4bdfad4f4b06e1
https://pubmed.ncbi.nlm.nih.gov/25600172
https://pubmed.ncbi.nlm.nih.gov/25600172
Publikováno v:
Medical & Biological Engineering & Computing. 42:698-706
The paper presents an algorithm for reducing false alarms related to changes in arterial blood pressure (ABP) in intensive care unit (ICU) monitoring. The algorithm assesses the ABP signal quality, analyses the relationship between the electrocardiog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d58688ad40a65eaa2ffd19d2a6172ad1
https://doi.org/10.1007/bf02347553
https://doi.org/10.1007/bf02347553
Publikováno v:
Physiological Measurement. 25:629-643
This paper proposes principles and methods for assessing the robustness of ST segment analysers and algorithms. We describe an evaluation protocol, procedures and performance measures suitable for assessing the robustness. An ST analyser is robust if
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6460be1e6c7d38800e2cddc9d5563a8
https://doi.org/10.1088/0967-3334/25/3/004
https://doi.org/10.1088/0967-3334/25/3/004
Autor:
R. Dorn, A. Smrdel, Roger G. Mark, George B. Moody, Alessandro Taddei, G. Antolic, Franc Jager, C Marchesi, Michele Emdin
Publikováno v:
Medical and Biological Engineering and Computing. 41:172-182
The long-term ST database is the result of a multinational research effort. The goal was to develop a challenging and realistic research resource for development and evaluation of automated systems to detect transient ST segment changes in electrocar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cc67dbf7cbe127d69b58731abecc4f9
https://doi.org/10.1007/bf02344885
https://doi.org/10.1007/bf02344885