Results 11 to 20 of about 81,427 (314)
Catheterization and Cardiovascular Interventions, Volume 100, Issue 7, Page 1159-1170, December 1, 2022., 2022 Abstract Background Clinical factors favouring coronary angiography (CA) selection and variables associated with in‐hospital mortality among patients presenting with out‐of‐hospital cardiac arrest (OHCA) without ST‐segment elevation (STE) remain unclear.
Wayne C. Zheng +15 more
wiley +1 more source
Coronary angiography of the ex‐situ beating donor heart in a portable organ care system
Catheterization and Cardiovascular Interventions, Volume 100, Issue 7, Page 1252-1260, December 1, 2022., 2022 Abstract Objectives To determine safety and feasibility of ex‐situ coronary angiography. Background To cater for the perpetually growing demand for heart donors, interest in donation following circulatory death (DCD) has been rekindled. Further pursuit of donor pool expansion has led to eligibility extension to “marginal” donors who are at higher risk ...
Thomas Meredith +10 more
wiley +1 more source
Frontiers in Pharmacology, 2021 Following cardiopulmonary resuscitation (CPR), the ensuing cardiac and cerebral injuries contribute to the poor outcome of cardiac arrest (CA) victims, in which the pathogenetic process is possibly driven by cell pyroptosis and ferroptosis.
Jiefeng Xu +23 more
doaj +1 more source
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest [PDF]
, 2022 Objective: Exploit accelerometry data for an automatic, reliable, and prompt detection of spontaneous circulation during cardiac arrest, as this is both vital for patient survival and practically challenging. Methods: We developed a machine learning algorithm to automatically predict the circulatory state during cardiopulmonary resuscitation from 4 ...
arxiv +1 more source
RETRACTED: Artificial intelligence for emergency medical care
Health Care Science, EarlyView., 2023 ‘Applications of artificial intelligence in emergency medical service’. Abstract There is increasing research into the potential benefits of incorporating artificial intelligence (AI) and machine learning algorithms into emergency medical services. AI is finding new applications across a wide range of sectors, one of which is healthcare, where it is ...
Shivam Rajput +2 more
wiley +1 more source
Activity Recognition From Newborn Resuscitation Videos [PDF]
IEEE Journal of Biomedical and Health Informatics, vol. 24, no.
11, pp. 3258-3267, Nov. 2020, 2023 Objective: Birth asphyxia is one of the leading causes of neonatal deaths. A key for survival is performing immediate and continuous quality newborn resuscitation. A dataset of recorded signals during newborn resuscitation, including videos, has been collected in Haydom, Tanzania, and the aim is to analyze the treatment and its effect on the newborn ...
arxiv +1 more source
A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction [PDF]
Anaesthesia Critical Care & Pain Medicine 41.1 (2022): 101015, 2020 Patients resuscitated from cardiac arrest (CA) face a high risk of neurological disability and death, however pragmatic methods are lacking for accurate and reliable prognostication. The aim of this study was to build computational models to predict post-CA outcome by leveraging high-dimensional patient data available early after admission to the ...
arxiv +1 more source
Mathematical Model of Volume Kinetics and Renal Function after Burn Injury and Resuscitation [PDF]
Burns, 47(2), pp.371-386 (2021), 2021 This paper presents a mathematical model of blood volume kinetics and renal function in response to burn injury and resuscitation, which is applicable to the development and non-clinical testing of burn resuscitation protocols and algorithms. Prior mathematical models of burn injury and resuscitation are not ideally suited to such applications due to ...
arxiv +1 more source
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids [PDF]
Applied Soft Computing, Volume 79, June 2019, Pages 300-309, 2018 Cardiopulmonary resuscitation (CPR) is alongside electrical defibrillation the most crucial countermeasure for sudden cardiac arrest, which affects thousands of individuals every year. In this paper, we present a novel approach including sinusoid models that use skeletal motion data from an RGB-D (Kinect) sensor and the Differential Evolution (DE ...
arxiv +1 more source
Object Detection During Newborn Resuscitation Activities [PDF]
IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 3,
pp. 796-803, March 2020, 2023 Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the different treatments are not fully explored. The available data is collected in Tanzania, during newborn resuscitation, for analysis of the resuscitation activities and the ...
arxiv +1 more source