David J. McEneaney

According to our database, David J. McEneaney authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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., November, 2023

Subcutaneous Tissue Transient Thermal Profiling Under RF-Energy Pulsed Wireless Supply to 3W-8W Rated LVAD in the Living and Cadaver Models.

Omar J. Escalona, Brommely Finn, Mohammad L. Karim, Antonio M. Bosnjak, David J. McEneaney

Proceedings of the Computing in Cardiology, 2023

2022

Transcutaneous Pulsed RF Energy Transfer Mitigates Tissue Heating in High Power Demand Implanted Device Applications: In Vivo and In Silico Models Results.

Mohammad L. Karim, Antonio M. Bosnjak, James McLaughlin, Paul Crawford, David J. McEneaney, Omar J. Escalona

Sensors, 2022

Armband Sensors Location Assessment for Left Arm-ECG Bipolar Leads Waveform Components Discovery Tendencies around the MUAC Line.

Omar Escalona, Sephorah Mukhtar, David J. McEneaney, Dewar D. Finlay

Sensors, 2022

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

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Rob Brisk, Patricia Campbell, David J. McEneaney

Int. J. Data Sci. Anal., 2022

Harnessing Dermal Blood Flow to Mitigate Skin Heating Effects in Wireless Transdermal Energy Systems for Driving Heart Pumps.

Mohammad L. Karim, Antonio M. Bosnjak, James McLaughlin, Paul Crawford, David J. McEneaney, Omar J. Escalona

Proceedings of the Computing in Cardiology, 2022

2021

Domain Led Time Series Analysis Of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence?

Alicja Jasinska-Piadlo, Raymond R. Bond, Pardis Biglarbeigi, Patricia Campbell, David J. McEneaney

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Wireless Arm Wearable Sensor Band for Long-Term Heart Rhythms Surveillance Using a Bipolar Arm-ECG Lead.

Omar J. Escalona, Angel Villegas, Sephorah Mukhtar, Gilberto Perpiñan, David J. McEneaney

Proceedings of the Computing in Cardiology, 2020

2019

Standard ECG lead I prospective estimation study from far-field bipolar leads on the left upper arm: A neural network approach.

Pedro R. Vizcaya, Gilberto Perpiñan, David J. McEneaney, Omar J. Escalona

Biomed. Signal Process. Control., 2019

Denoising Performance of Discrete Wavelet Transform and Empirical Mode Decomposition Based Techniques on Monitoring Cardiac Electrograms From the Left-Arm.

Gilberto Perpiñan, David J. McEneaney, Omar J. Escalona

Proceedings of the 46th Computing in Cardiology, 2019

Personal ECG Devices: How Will Healthcare Systems Cope? A Single Centre Case Study.

Rob Brisk, Raymond R. Bond, Dewar D. Finlay, David J. McEneaney

Proceedings of the 46th Computing in Cardiology, 2019

2017

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

Proceedings of the Computing in Cardiology, 2017

Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring.

William David Lynn, Omar Escalona, Pedro R. Vizcaya, David J. McEneaney

Proceedings of the Computing in Cardiology, 2017

Wrist and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring.

Omar Escalona, Louise McFrederick, Maira Borges, Pedro Linares, Ricardo Villegas, Gilberto Perpiñan, James McLaughlin, David J. McEneaney

Proceedings of the Computing in Cardiology, 2017

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

A Feature Selection for Detection of Non ST Elevation Myocardial Infarction.

Cesar Oswaldo Navarro Paredes, Mary Jo Kurth, David J. McEneaney, James McLaughlin

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

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, David J. McEneaney

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Towards Low Energy Atrial Defibrillation.

Philip Walsh, Vivek Kodoth, David J. McEneaney, Paola Rodrigues, Jose Velasquez, Niall Waterman, Omar Escalona

Sensors, 2015

2014

Towards Impedance Optimised Transcutaneous Atrial Defibrillation.

Philip Walsh, Paola Rodrigues, Jonathan Goodfellow, Niall Waterman, David J. McEneaney, Omar J. Escalona

Proceedings of the Computing in Cardiology, CinC 2014, 2014

ECG monitoring techniques using advanced signal recovery and arm worn sensors.

William D. Lynn, Omar J. Escalona, David J. McEneaney

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Dynamic Changes in Intracardiac Resistance as a Predictive Marker during Internal Cardioversion of Atrial Fibrillation.

Philip Walsh, Omar J. Escalona, Vivek Kodoth, Noel Camilo Castro, David J. McEneaney, Ernest Lau, Ganesh Manoharan

Proceedings of the Computing in Cardiology, 2013