Zobrazeno 1 - 10 of 46 pro vyhledávání: '"Ecg machines"'
2
The capacity of primary health care centers in Jordan to manage hypertension: areas for improvement
Autor: Hanin Al Jawaldeh, Aseel Hayajneh, Yousef Khader, Mohannad Al Nsour, Osama Khaled Alkhlaifat, Omar Al-Hadeethi
Publikováno v: Journal of Human Hypertension. 36:473-481
The assessment of the capacity of Primary Health Care (PHC) settings for the management of hypertension is essential to identify areas for improving management outcomes. This study aimed to assess the capacity of PHC centers in Jordan to manage hyper
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::587f6985be90199115cecd554af89198
https://doi.org/10.1038/s41371-020-00433-z
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3
Detection of Myocardial Infarction from 12 Lead ECG Images
Autor: Laxmi Sharma, Ravi Kumar Sanjay Sane, Samarendra Dandapat, Pharvesh Salman Choudhary
Publikováno v: 2021 National Conference on Communications (NCC).
Electrocardiogram(ECG) is one of the most frequently used modality by cardiologists across the globe to detect any heart function abnormalities. In hospitals, ECG results are printed on paper by the ECG machines, which then is analysed by an expert.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66629425a30c9ed985e144e13c89d735
https://doi.org/10.1109/ncc52529.2021.9530154
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4
Deriving Heart Rate and Respiratory Rate from ECG Using Wavelet Transform
Autor: Joshua M. Alcoy, Jonathan Ibera, Cyril Erick R. Tulio, Jennifer C. Dela Cruz
Publikováno v: 2021 11th International Conference on Biomedical Engineering and Technology.
ECG machines are vital for monitoring patients with heart diseases and abnormalities. The need for portable health devices has risen due to technological advancement, it is very essential to have one at home for early detection of diseases. Heart rat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::41251adf36f92c47d9720e3112e76539
https://doi.org/10.1145/3460238.3460254
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5
Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience
Autor: Nicholas S. Peters, Hardik Raipal, Chris Lockwood, Madalina Sas, Max Falkenberg, Rebecca Joakim
Publikováno v: CinC
Comput Cardiol (2010)
2020 Computing in Cardiology
Automated ECG classification is a standard feature in many commercial 12-Lead ECG machines. As part of the Physionet/CinC Challenge 2020, our team, "Mad-hardmax", developed an XGBoost based classification method for the analysis of 12-Lead ECGs acqui
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac27a7322a135bec532427440a44e06
https://doi.org/10.22489/cinc.2020.185
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6
Real-Time Detection and Prediction of Heart Diseases from ECG Data Using Neural Networks
Autor: Eslavath Nandu, Mohamed Azman, K. V. Sai Kiran, S. K. L. V. Sai Prakash
Publikováno v: Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811572333
Portable real-time continuous heart disease detection and/or prediction systems based on AI could be exhaustive, as it addresses the various drawbacks of conventional ECG machines. Real-time ECG monitoring devices generally tend to be large, heavy, a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f341678f54ff6204bdb4a4a1eb55b252
https://doi.org/10.1007/978-981-15-7234-0_9
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7
Early atrial fibrillation detection and the transition to comprehensive management
Autor: Dominik Linz, Astrid N L Hermans, Robert G. Tieleman
Publikováno v: EP Europace, 23, II46-II51. Oxford University Press
Current atrial fibrillation (AF) guidelines recommend screening for AF in individuals above 65 years or with other characteristics suggestive of increased stroke risk. Several mobile health (mHealth) approaches are available to identify AF. Although
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69627ce8c4c0ac9d5063e9d7a84ebdc2
https://pubmed.ncbi.nlm.nih.gov/33837752
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8
Effect of a single dose of i.v. ondansetron on QTc interval in emergency department patients
Autor: Kathy T. Vo, Newton Addo, Kai Li, Zlatan Coralic, Byron K. Lee
Publikováno v: American Journal of Health-System Pharmacy. 75:276-282
Purpose Results of a study to determine whether i.v. administration of a single dose of 4 mg of ondansetron was associated with QT interval prolongation in emergency department (ED) patients are reported. Methods In a prospective observational study
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb52b6c2b6c52f8fe3ac9c3207e2cb49
https://doi.org/10.2146/ajhp161070
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9
Rationale for need to use remote methods of ECG control during COVID‑19 pandemic
Autor: Yu. Popov
Publikováno v: Medical alphabet. :61-62
ECG diagnostics during coronavirus infection (COVID‑19) pandemic is extremely difficult without the use of remote transmission methods. The article proposes remote methods of transmitting information when taking an ECG at home, in the ‘infectious
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0eecc64b87e1f915eee15fa7ae65155f
https://doi.org/10.33667/2078-5631-2020-28-61-62
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