Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs

Nejad, Mahdi Pirayesh Shirazi; Kargin, Vadym; Hajeb-M, Shirin; Hicks, David; Valentine, Matt; Chon, K.H.

doi:10.1016/j.compbiomed.2024.108180

Computers in Biology and Medicine

2024

DOI: 10.1016/j.compbiomed.2024.108180

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Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs

Mahdi Pirayesh Shirazi Nejad,

Vadym Kargin,

Shirin Hajeb-M

et al.

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Cited by 3 publications

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Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs

Cited by 3 publications

References 22 publications

ECG classification via integration of adaptive beat segmentation and relative heart rate with deep learning networks

ECG classification via integration of adaptive beat segmentation and relative heart rate with deep learning networks

Clinical performance of AED shock advisory system with integrated Analyze Whilst Compressing algorithm for analysis of the ECG rhythm during out-of-hospital cardiopulmonary resuscitation: A secondary analysis of the DEFI 2022 study

“To shock or not to shock? This is no longer a question”…with the new AED technologies

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