Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Antonio H. Ribeiro"'
Autor:
Gabriela M. M. Paixão, Emilly M. Lima, Paulo R. Gomes, Derick M. Oliveira, Manoel H. Ribeiro, Jamil S. Nascimento, Antonio H. Ribeiro, Peter W. Macfarlane, Antonio L. P. Ribeiro
Publikováno v:
Hearts, Vol 2, Iss 4, Pp 449-458 (2021)
Computerized electrocardiography (ECG) has been widely used and allows linkage to electronic medical records. The present study describes the development and clinical applications of an electronic cohort derived from a digital ECG database obtained b
Externí odkaz:
https://doaj.org/article/2a3e9db888ec4df0bfd96257d49c6b31
Autor:
Gabriela M. M. Paixão, Luis Gustavo S. Silva, Paulo R. Gomes, Emilly M. Lima, Milton P. F. Ferreira, Derick M. Oliveira, Manoel H. Ribeiro, Antonio H. Ribeiro, Jamil S. Nascimento, Jéssica A. Canazart, Leonardo B. Ribeiro, Emelia J. Benjamin, Peter W. Macfarlane, Milena S. Marcolino, Antonio L. Ribeiro
Publikováno v:
Global Heart, Vol 15, Iss 1 (2020)
Aims: Atrial fibrillation (AF) is a public health problem and its prevalence is increasing worldwide. Electronic cohorts, with large electrocardiogram (ECG) databases linked to mortality data, can be useful in determining prognostic value of ECG abno
Externí odkaz:
https://doaj.org/article/13d6219eb2ab484fa4527038f81ce45d
Publikováno v:
IEEE Transactions on Biomedical Engineering. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5362cc841dc7d6aceb1888dbb3fbc382
https://doi.org/10.1109/tbme.2023.3239527
https://doi.org/10.1109/tbme.2023.3239527
Autor:
Philipp von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Imbalances in electrolyte concentrations can have severe consequences, but accurate and accessible measurements could improve patient outcomes. The current measurement method based on blood tests is accurate but invasive and time-consuming a
Externí odkaz:
https://doaj.org/article/d8d1dec1d861419e918602bc6934842d
Autor:
Libor Pastika, Arunashis Sau, Konstantinos Patlatzoglou, Ewa Sieliwonczyk, Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antonio Luiz P. Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract The electrocardiogram (ECG) can capture obesity-related cardiac changes. Artificial intelligence-enhanced ECG (AI-ECG) can identify subclinical disease. We trained an AI-ECG model to predict body mass index (BMI) from the ECG alone. Develope
Externí odkaz:
https://doaj.org/article/9f47d99e612f4498bb4017febf439586
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::686c8bef897693c62f11e28c2771f84b
https://doi.org/10.23919/cinc53138.2021.9662748
https://doi.org/10.23919/cinc53138.2021.9662748
Autor:
Stefan Gustafsson, Daniel Gedon, Erik Lampa, Antônio H. Ribeiro, Martin J. Holzmann, Thomas B. Schön, Johan Sundström
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settings, deep learning-based models and especially convolutional deep models have shown promise in electrocardiogram (ECG) classification, but the
Externí odkaz:
https://doaj.org/article/450655db8d2141a294781520691e07c9
Autor:
Cuili Zhang, Xiao Miao, Biqi Wang, Robert J. Thomas, Antônio H. Ribeiro, Luisa C. C. Brant, Antonio L. P. Ribeiro, Honghuang Lin
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundPeople age at different rates. Biological age is a risk factor for many chronic diseases independent of chronological age. A good lifestyle is known to improve overall health, but its association with biological age is unclear.MethodsThis s
Externí odkaz:
https://doaj.org/article/b8edf6ac3e5d4cf4b9cd5bb5c9b65a85
Autor:
Veer Sangha, Bobak J. Mortazavi, Adrian D. Haimovich, Antônio H. Ribeiro, Cynthia A. Brandt, Daniel L. Jacoby, Wade L. Schulz, Harlan M. Krumholz, Antonio Luiz P. Ribeiro, Rohan Khera
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
The application of artificial intelligence for automated diagnosis of electrocardiograms can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. Here, the authors report the development of a mul
Externí odkaz:
https://doaj.org/article/88e86de62c67471e97b250d7db5e1ce7
Autor:
Emilly M. Lima, Antônio H. Ribeiro, Gabriela M. M. Paixão, Manoel Horta Ribeiro, Marcelo M. Pinto-Filho, Paulo R. Gomes, Derick M. Oliveira, Ester C. Sabino, Bruce B. Duncan, Luana Giatti, Sandhi M. Barreto, Wagner Meira Jr, Thomas B. Schön, Antonio Luiz P. Ribeiro
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
The electrocardiogram (ECG) is the most commonly used exam for the screening and evaluation of cardiovascular diseases. Here, the authors propose that the age predicted by artificial intelligence from the raw ECG tracing can be a measure of cardiovas
Externí odkaz:
https://doaj.org/article/f1364f686bf341b4863accec047f7a93