Using Machine Learning to Predict if a Profiled Lay Rescuer can Successfully Deliver a Shock using a Public Access Automated External Defibrillator? - Raymond R. Bond; Peter O'Hare; Hannah Torney; Laura Davis; Bruno Delafont; Hannah McReynolds; Anna McLister; Ben McCartney; Rebecca Di Maio; Dewar D. Finlay; Daniel Guldenring; James McLaughlin 001; et al. (CinC, 2016)

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? - Hannah Torney; Peter O'Hare; Laura Davis; Bruno Delafont; Raymond R. Bond; Hannah McReynolds; Anna McLister; Ben McCartney; Rebecca Di Maio; David J. McEneaney (IEEE Trans. Hum. Mach. Syst., 2016)

An Investigation into the Use of the Impedance Cardiogram as a Predictor of Manual Chest Compression Efficacy. - Olibhéar McAlister; Dewar D. Finlay; Raymond R. Bond; Daniel Guldenring; Ben McCartney; Laura Davis; Hannah Torney; Paul Crawford; Frances Denny; Rebecca Funston; David J. McEneaney (CinC, 2017)

CPR Guideline Chest Compression Depths May Exceed Requirements for Optimal Physiological Response. - Olibhéar McAlister; Daniel Guldenring; Dewar D. Finlay; Raymond R. Bond; Hannah Torney; Ben McCartney; Laura Davis; Paul Crawford; Adam Harvey (CinC, 2018)

A zero-shot deep metric learning approach to Brain-Computer Interfaces for image retrieval. - Ben McCartney; Barry Devereux; Jesús Martínez del Rincón (Knowl. Based Syst., 2022)

Ventricular fibrillation waveform properties influenced by thoracic impedance guided chest compressions in a porcine model. - Olibhéar McAlister; Adam Harvey; Ben McCartney; Paul Crawford; Raymond R. Bond; Dewar D. Finlay; David J. McEneaney (Comput. Methods Programs Biomed., 2023)