Endocardial Activation Drives Activation Patterns During Long-Duration Ventricular Fibrillation and Defibrillation [PDF]
Nuttanont Panitchob +5 more
openalex +1 more source
Unsupervised machine learning for cardiovascular disease: A framework for future studies
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs). Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Emmanuel Bresso +7 more
wiley +1 more source
Beyond Standard Shocks: A Critical Review of Alternative Defibrillation Strategies in Refractory Ventricular Fibrillation. [PDF]
Perna B +7 more
europepmc +1 more source
Monophasic versus biphasic defibrillation for pediatric out-of-hospital cardiac arrest patients: a nationwide population-based study in Japan [PDF]
Seizan Tanabe +8 more
openalex +1 more source
S. Rubertsson +13 more
semanticscholar +1 more source
Decentralized Wind Energy Systems as Catalysts for Urban Resilience: A Design Framework
ABSTRACT Confronting the escalating extreme weather events (EWEs) and intensifying winds, this study proposes an active response to these issues by exploring decentralized wind energy production for Peng Chau Island, Hong Kong. It integrates theoretical perspectives on energy democracy—empowering local communities through energy autonomy—and urban ...
Tian Cheng
wiley +1 more source
Prehospital Defibrillation Challenges in Victims Wearing Wetsuits: A Pilot Comparison of AED Pad Placement Strategies. [PDF]
Santos-Folgar M +5 more
europepmc +1 more source
Defibrillation for Ventricular Fibrillation: A Shocking Update.
G. Nichol, M. Sayre, F. Guerra, J. Poole
semanticscholar +1 more source

