Showing results (61-70 of 110) with videos related to
Sort By:
Pageof 11
Wiley Interdisciplinary Reviews. Systems Biology and Medicine|September 8, 2016
Network dynamics: quantitative analysis of complex behavior in metabolism, organelles, and cells, from experiments to models and backFelix T Kurz, Jackelyn M Kembro, Ana G Flesia, et al.American Journal of Physiology. Heart and Circulatory Physiology|May 27, 2014
An optimized method for the estimation of the respiratory rate from electrocardiographic signals: implications for estimating minute ventilationEric H Weiss, Omid Sayadi, Priya Ramaswamy, et al.Heart Failure Reviews|July 29, 2020
Machine learning versus conventional clinical methods in guiding management of heart failure patients-a systematic reviewGeorge Bazoukis, Stavros Stavrakis, Jiandong Zhou, et al.European Heart Journal. Digital Health|October 4, 2021
Ambulatory monitoring promises equitable personalized healthcare delivery in underrepresented patientsKanchan Kulkarni, Rahul Kumar Sevakula, Mohamad B Kassab, et al.American Journal of Physiology. Heart and Circulatory Physiology|October 7, 2003
Phenotypic differences in transient outward K+ current of human and canine ventricular myocytes: insights into molecular composition of ventricular ItoFadi G Akar, Richard C Wu, Isabelle Deschenes, et al.International Journal of Molecular Sciences|April 9, 2020
Conditional Up-Regulation of SERCA2a Exacerbates RyR2-Dependent Ventricular and Atrial ArrhythmiasBin Liu, Qing Lou, Heather Smith, et al.Circulation. Arrhythmia and Electrophysiology|July 26, 2013
A novel method for determining the phase of T-wave alternans: diagnostic and therapeutic implicationsOmid Sayadi, Faisal M Merchant, Dheeraj Puppala, et al.Scientific Reports|March 23, 2016
Mitochondrial redox and pH signaling occurs in axonal and synaptic organelle clustersMichael O Breckwoldt, Antonis A Armoundas, Miguel A Aon, et al.European Heart Journal. Digital Health|October 4, 2021
Real-time machine learning-based intensive care unit alarm classification without prior knowledge of the underlying rhythmWan-Tai M Au-Yeung, Rahul K Sevakula, Ashish K Sahani, et al.IEEE Journal of Biomedical and Health Informatics|January 10, 2014
The single equivalent moving dipole model does not require spatial anatomical information to determine cardiac sources of activationKwanghyun Sohn, Wener Lv, Kichang Lee, et al.Pageof 11