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Cardiac Arrest - Astrophysics Data System

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Last Updated: 10 June 2022

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A review on prediction of cardiac arrest analysis in early stage

"Cardiac arrest occurs when the heart muscle does not develop properly, resulting in a sudden loss of blood supply. " The ECG signal is one of the most commonly used methods for detecting cardiac electrical activity, and it is used to find heart block. The stages of ECG signal pre-processing involve denoised algorithms and extracting specific characteristics from clean ECG predicting cardiac arrest in an early stage," says Denoised.

Source link: https://ui.adsabs.harvard.edu/abs/2022AIPC.2393b0189M/abstract


Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest

"Methods: We invented a machine learning algorithm to automatically predict the circulatory state during cardiac arrest care from 4-second-long snippets of accelerometry and electrocardiogram results obtained from real-world defibrillator records. " The algorithm was developed based on 917 cases from the German Resuscitation Registry, for which ground truth labels were created by a manual annotation of physicians. Conclusion and significance: The algorithm can be used to simplify retrospective annotation for quality control and, in addition, to encourage physicians to monitor circulatory status during cardiac arrest therapy. ".

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220506540K/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions