Smart cardiac framework for an early detection of cardiac arrest condition and risk

A Shah, S Ahirrao, S Pandya, K Kotecha… - Frontiers in Public …, 2021 - frontiersin.org
… Furthermore, for cardiac arrest prediction, the ML algorithm is used, which has been …
Still, this research aims to find early risk prediction of cardiac arrest based on real-time data …

Developing neural network models for early detection of cardiac arrest in emergency department

DH Jang, J Kim, YH Jo, JH Lee, JE Hwang… - The American journal of …, 2020 - Elsevier
… Automated surveillance for cardiac arrests would be useful in overcrowded emergency …
) classifiers for early detection of patients at risk of cardiac arrest in emergency departments. …

A Machine Learning Approach using Statistical Models for Early Detection of Cardiac Arrest in Newborn Babies in the Cardiac Intensive Care Unit

K Gupta, N Jiwani, G Pau, M Alibakhshikenari - IEEE Access, 2023 - ieeexplore.ieee.org
… in newborn babies and developing accurate and efficient diagnostic tools for early detection
provide early detection of cardiac arrest. This research aims to develop a Cardiac Machine …

Early detecting in-hospital cardiac arrest based on machine learning on imbalanced data

HK Chang, CT Wu, JH Liu, WS Lim… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
… Therefore, it is very important to detect IHCA. We design a novel approach to detect IHCA
for emergency patients. Our goal is to develop an early warning system (EWS) to avoid using …

Machine learning for early detection of hypoxic-ischemic brain injury after cardiac arrest

A Mansour, JD Fuhrman, FE Ammar, A Loggini… - Neurocritical Care, 2022 - Springer
… Our findings indicate that when early (within 3 h of ROSC) … , two unique endotypes of cardiac
arrest survivors can be identified… that the early stratification of survivors of cardiac arrest into …

Machine learning based early detection system of cardiac arrest

JH Liu, HK Chang, CT Wu, WS Lim… - … on Technologies and …, 2019 - ieeexplore.ieee.org
… Target—Most of the Cardiac Arrest (CA) cases are preventable because the CA … for
detecting CA before the CPR event occurred earlier and it is not only assisting physicians to early

Early detection of brain death using the Bispectral Index (BIS) in patients treated by extracorporeal cardiopulmonary resuscitation (E-CPR) for refractory cardiac arrest

R Jouffroy, L Lamhaut, A Guyard, P Philippe, K An… - Resuscitation, 2017 - Elsevier
… However, clinical assessment of brain-death occurence is difficult in post-cardiac arrest
for an early detection of brain-death occurrence in refractory cardiac arrest patients treated …

Evaluation of transcutaneous near-infrared spectroscopy for early detection of cardiac arrest in an animal model

K Raschdorf, A Mohseni, K Hogle, A Cheung, K So… - Scientific Reports, 2023 - nature.com
… for reliable and timely detection of SCA. Near-… to detect pentobarbital-induced changes
during cardiac arrest in eight Yucatan miniature pigs. NIRS measurements during cardiac arrest

Does the use of the Advanced Medical Priority Dispatch System affect cardiac arrest detection?

A Heward, M Damiani, C Hartley-Sharpe - Emergency Medicine …, 2004 - emj.bmj.com
… Background: Cardiac arrest is the most widely recognised prehospital event that early
response to these patients the early detection of cardiac arrest by control room staff is crucial…

[HTML][HTML] Sensor technologies to detect out-of-hospital cardiac arrest: A systematic review of diagnostic test performance

J Hutton, S Lingawi, JH Puyat, C Kuo, B Shadgan… - Resuscitation …, 2022 - Elsevier
… Sensor technologies for early detection and activation of the emergency medical system
could enable rapid response to CA and increase the probability of survival. We conducted a …