Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Alain B. Zemkoho"'
Autor:
Mohamed ElRefai, Mohamed Abouelasaad, Isobel Conibear, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John Morgan, Paul R. Roberts
Publikováno v:
Indian Pacing and Electrophysiology Journal, Vol 24, Iss 4, Pp 192-199 (2024)
Introduction: The risk of complications associated with transvenous ICDs make the subcutaneous implantable cardiac defibrillator (S-ICD) a valuable alternative in patients with adult congenital heart disease (ACHD). However, higher S-ICD ineligibilit
Externí odkaz:
https://doaj.org/article/c85fe142ff9f4c4aa6ddab6acde043e0
Autor:
Priva Chassem Kamdem, Alain B. Zemkoho, Laurent Njilla, Marcellin Nkenlifack, Charles A. Kamhoua
Publikováno v:
IEEE Access, Vol 12, Pp 171559-171570 (2024)
Cyber-physical systems (CPS) are increasingly vulnerable to sophisticated cyber-attacks that can target multiple layers within the system. To strengthen defenses against these complex threats, deception-based techniques have emerged as a promising so
Externí odkaz:
https://doaj.org/article/cdaa03326af64fec980452af7bbff1b2
Autor:
Mohamed ElRefai, Mohamed Abouelasaad, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John Morgan, Paul R. Roberts
Publikováno v:
Annals of Noninvasive Electrocardiology, Vol 28, Iss 4, Pp n/a-n/a (2023)
Abstract Background Machine learning methods are used in the classification of various cardiovascular diseases through ECG data analysis. The concept of varying subcutaneous implantable cardiac defibrillator (S‐ICD) eligibility, owing to the dynami
Externí odkaz:
https://doaj.org/article/3b1a4af84b434ed3a614ca81617c322a
Autor:
Mohamed ElRefai, Mohamed Abouelasaad, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John M. Morgan, Paul R. Roberts
Publikováno v:
Annals of Noninvasive Electrocardiology, Vol 28, Iss 1, Pp n/a-n/a (2023)
Abstract Introduction S‐ICD eligibility is assessed at pre‐implant screening where surface ECG traces are used as surrogates for S‐ICD vectors. In heart failure (HF) patients undergoing diuresis, electrolytes and fluid shifts can cause changes
Externí odkaz:
https://doaj.org/article/82898626c45a41799f300662e48090a4
Autor:
Anthony J. Dunn, Stefano Coniglio, Mohamed ElRefai, Paul R. Roberts, Benedict M. Wiles, Alain B. Zemkoho
Publikováno v:
Annals of Operations Research.
It is standard cardiology practice for patients suffering from ventricular arrhythmias (the main cause of sudden cardiac death) belonging to high risk populations to be treated via the implantation of Subcutaneous Implantable cardioverter-defibrillat
Autor:
Mohamed ElRefai, Mohamed Abouelasaad, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John M. Morgan, Paul R. Roberts
Publikováno v:
Annals of Noninvasive Electrocardiology. 28
S-ICD eligibility is assessed at pre-implant screening where surface ECG traces are used as surrogates for S-ICD vectors. In heart failure (HF) patients undergoing diuresis, electrolytes and fluid shifts can cause changes in R and T waves. Subsequent
Autor:
Shenglong Zhou, Alain B. Zemkoho
Publikováno v:
Computational Optimization and Applications. 78:625-674
The Karush-Kuhn-Tucker and value function (lower-level value function, to be precise) reformulations are the most common single-level transformations of the bilevel optimization problem. So far, these reformulations have either been studied independe
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
Autor:
Mohamed ElRefai, Mohamed Abouelasaad, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, Paul R. Roberts
Background A major predictor of eligibility of subcutaneous implantable cardiac defibrillators (S-ICD) is the T:R ratio. The eligibility cut-off of the T:R ratio incorporates a safety margin to accommodate for fluctuations of ECG signal amplitudes. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836b6611f25deaecd7ea3ad02c371e19
http://hdl.handle.net/10446/229329
http://hdl.handle.net/10446/229329
Deep learning-based insights on T:R ratio behaviour during prolonged screening for S-ICD eligibility
Autor:
Mohamed, ElRefai, Mohamed, Abouelasaad, Benedict M, Wiles, Anthony J, Dunn, Stefano, Coniglio, Alain B, Zemkoho, Paul R, Roberts
Publikováno v:
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing.
A major predictor of eligibility of subcutaneous implantable cardiac defibrillators (S-ICD) is the T:R ratio. The eligibility cut-off of the T:R ratio incorporates a safety margin to accommodate for fluctuations of ECG signal amplitudes. We introduce
This article studies Gauss–Newton-type methods for over-determined systems to find solutions to bilevel programming problems. To proceed, we use the lower-level value function reformulation of bilevel programs and consider necessary optimality cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74fa84cd969b93275c16cd72b0be3a1d
https://eprints.soton.ac.uk/448464/
https://eprints.soton.ac.uk/448464/