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Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band.

, , , , and . CinC, page 1-4. IEEE, (2020)

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ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers., , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions., , , , , , , and . IEEE Access, (2019)A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest., , , , , , , , , and 1 other author(s). CinC, page 1-4. IEEE, (2020)Detection of Shockable Rhythms Using Convolutional Neural Networks During Chest Compressions Provided by a Load Distributing Band., , , , and . CinC, page 1-4. IEEE, (2020)Comparison of Time and Frequency Domain Methods for the Feedback on Chest Compression Rate., , , , , , , and . CinC, page 1101-1104. www.cinc.org, (2014)Deep Learning for Pulse Detection in Out-of-Hospital Cardiac Arrest Using the ECG., , , , , , and . CinC, page 1-4. www.cinc.org, (2018)A Hidden Markov Model Approach for Ventricular Fibrillation Detection., , , , and . CinC, page 1-4. www.cinc.org, (2018)Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest., , , , , and . Entropy, 22 (7): 758 (2020)Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram., , , , , , , , and . IEEE J. Biomed. Health Informatics, 27 (8): 3856-3866 (August 2023)Impedance Based Automatic Detection of Ventilations During Mechanical Cardiopulmonary Resuscitation., , , , , , and . EMBC, page 19-23. IEEE, (2019)