Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fazeelat Mazhar"'
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Background: Cardiac pacemaking remains an unsolved matter from many perspectives. Extensive experimental and computational studies have been performed to describe the sinoatrial physiology across different scales, from the molecular to clinical level
Externí odkaz:
https://doaj.org/article/f0bd90cbe88d46d1bee32b6121eadf43
Autor:
'Fazeelat Mazhar, Francesco Regazzoni, Chiara Bartolucci, Cristiana Corsi, Luca Dede, Alfio Quarteroni, Stefano Severi\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Autor:
Fazeelat Mazhar, Francesco Regazzoni, Chiara Bartolucci, Cristiana Corsi, Luca Dede, Alfio Quarteroni, Stefano Severi
Publikováno v:
2021 Computing in Cardiology (CinC).
Human-based computational models are a powerful tool that complements the experimental approaches and can improve our understanding of individual components of the heart by integrating them into one system. This paper aims to couple and calibrate a h
Publikováno v:
Wireless Personal Communications. 97:4467-4491
The demand and growth of indoor positioning has increased rapidly in the past few years for a diverse range of applications. Various innovative techniques and technologies have been introduced but precise and reliable indoor positioning still remains
Human Atrial Cell Models to Analyse the Effect of Extracellular Calcium on Action Potential Duration
Publikováno v:
CinC
Regulation of cardiac electrical and mechanical activities are highly dependent on L-type calcium current (I CaL ). Moreover, the phenomenon of I CaL . inactivation plays a crucial role in adjusting action potential repolarization. This paper investi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e40afcd7c92d79d29a1dd3eababe107
http://hdl.handle.net/11585/821430
http://hdl.handle.net/11585/821430
Autor:
Bilal Wajid, Mustafa Alshawaqfeh, Faria Anwar, Fazeelat Mazhar, Nafeesa Mazhar, Erchin Serpedin
Publikováno v:
SSD
Metabolic syndrome (MetS) is a collection of several risk factors like elevated blood pressure, sugar, excessive body fat and abnormal triglyceride or cholesterol levels which collectively enhances one's risk of heart disease, stroke and diabetes. Du