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What can machines learn about heart failure? A systematic literature review.

, , , , , and . Int. J. Data Sci. Anal., 13 (3): 163-183 (2022)

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A Usability Study of a Critical Man-Machine Interface: Can Layperson Responders Perform Optimal Compression Rates When Using a Public Access Defibrillator with Automated Real-Time Feedback During Cardiopulmonary Resuscitation?, , , , , , , , , and . IEEE Trans. Hum. Mach. Syst., 46 (5): 749-754 (2016)Ventricular fibrillation waveform properties influenced by thoracic impedance guided chest compressions in a porcine model., , , , , , and . Comput. Methods Programs Biomed., (November 2023)Transcutaneous Pulsed RF Energy Transfer Mitigates Tissue Heating in High Power Demand Implanted Device Applications: In Vivo and In Silico Models Results., , , , , and . Sensors, 22 (20): 7775 (2022)Wireless Arm Wearable Sensor Band for Long-Term Heart Rhythms Surveillance Using a Bipolar Arm-ECG Lead., , , , and . CinC, page 1-4. IEEE, (2020)Towards Impedance Optimised Transcutaneous Atrial Defibrillation., , , , , and . CinC, page 665-668. www.cinc.org, (2014)Harnessing Dermal Blood Flow to Mitigate Skin Heating Effects in Wireless Transdermal Energy Systems for Driving Heart Pumps., , , , , and . CinC, page 1-4. IEEE, (2022)Standard ECG lead I prospective estimation study from far-field bipolar leads on the left upper arm: A neural network approach., , , and . Biomed. Signal Process. Control., (2019)Using Machine Learning to Predict if a Profiled Lay Rescuer can Successfully Deliver a Shock using a Public Access Automated External Defibrillator?, , , , , , , , , and 3 other author(s). CinC, www.cinc.org, (2016)Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence?, , , , and . CinC, page 1-4. IEEE, (2021)ECG monitoring techniques using advanced signal recovery and arm worn sensors., , and . BIBM, page 51-55. IEEE Computer Society, (2014)