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Dewar Finlay

Showing results (1-10 of 48) with videos related to

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Health Informatics Journal|January 7, 2017
A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogramCathal Breen, Raymond Bond, Dewar Finlay
Studies in Health Technology and Informatics|November 12, 2005
Lifestyle support through efficient ECG acquisition and analysisSteven Devlin, Chris Nugent, Dewar Finlay
Journal of Electrocardiology|September 10, 2014
An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretationCathal J Breen, Raymond Bond, Dewar Finlay
Sensors (Basel, Switzerland)|October 14, 2022
Armband Sensors Location Assessment for Left Arm-ECG Bipolar Leads Waveform Components Discovery Tendencies around the MUAC LineOmar Escalona, Sephorah Mukhtar, David McEneaney, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 29, 2025
Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material DiscriminationPardis Biglarbeigi, Gourav Bhattacharya, Dewar Finlay, et al.
Journal of Electrocardiology|August 3, 2021
Machine learning with electrocardiograms: A call for guidelines and best practices for 'stress testing' algorithmsRaymond Bond, Dewar Finlay, Salah Shafiq Al-Zaiti, et al.
Journal of Electrocardiology|March 2, 2016
The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretationCathal Breen, Tingting Zhu, Raymond Bond, et al.
Studies in Health Technology and Informatics|September 7, 2011
Professional development of health informatics in Northern IrelandPaul McCullagh, Gerry McAllister, Paul Hanna, et al.
Scientific Reports|August 26, 2022
Remote synchronous usability testing of public access defibrillators during social distancing in a pandemicHannah Currie, Adam Harvey, Raymond Bond, et al.
Journal of Electrocardiology|November 17, 2022
A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learningPeter Doggart, Alan Kennedy, Raymond Bond, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Health Informatics Journal|January 7, 2017
A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogramCathal Breen, Raymond Bond, Dewar Finlay
Studies in Health Technology and Informatics|November 12, 2005
Lifestyle support through efficient ECG acquisition and analysisSteven Devlin, Chris Nugent, Dewar Finlay
Journal of Electrocardiology|September 10, 2014
An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretationCathal J Breen, Raymond Bond, Dewar Finlay
Sensors (Basel, Switzerland)|October 14, 2022
Armband Sensors Location Assessment for Left Arm-ECG Bipolar Leads Waveform Components Discovery Tendencies around the MUAC LineOmar Escalona, Sephorah Mukhtar, David McEneaney, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 29, 2025
Nonlinear Harmonics: A Gateway to Enhanced Image Contrast and Material DiscriminationPardis Biglarbeigi, Gourav Bhattacharya, Dewar Finlay, et al.
Journal of Electrocardiology|August 3, 2021
Machine learning with electrocardiograms: A call for guidelines and best practices for 'stress testing' algorithmsRaymond Bond, Dewar Finlay, Salah Shafiq Al-Zaiti, et al.
Journal of Electrocardiology|March 2, 2016
The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretationCathal Breen, Tingting Zhu, Raymond Bond, et al.
Studies in Health Technology and Informatics|September 7, 2011
Professional development of health informatics in Northern IrelandPaul McCullagh, Gerry McAllister, Paul Hanna, et al.
Scientific Reports|August 26, 2022
Remote synchronous usability testing of public access defibrillators during social distancing in a pandemicHannah Currie, Adam Harvey, Raymond Bond, et al.
Journal of Electrocardiology|November 17, 2022
A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learningPeter Doggart, Alan Kennedy, Raymond Bond, et al.
Pageof 5