Peter W. Macfarlane

Orcid: 0000-0002-5390-1596

According to our database1, Peter W. Macfarlane authored at least 16 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.
Artif. Intell. Medicine, 2022

2020




2019
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.
CoRR, 2019

Factors Influencing Automated Limited Lead Detection of Atrial Fibrillation.
Proceedings of the 46th Computing in Cardiology, 2019

A Review of Bandwidth for Pediatric ECGs.
Proceedings of the 46th Computing in Cardiology, 2019

2018
A Novel Electrocardiograph for Analysis of Ventricular Repolarisation.
Proceedings of the Computing in Cardiology, 2018

2017
Specificity of New Diagnostic Criteria for Left Ventricular Hypertrophy.
Proceedings of the Computing in Cardiology, 2017

2016
SCP-ECG V3.0: An enhanced Standard Communication Protocol for computer-assisted Electrocardiography.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Comparison of Spatial QRS-T Angle in Different Healthy Racial Groups.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Long Term Follow Up of the Early Repolarization Pattern in Participants in the West of Scotland Coronary Prevention Study.
Proceedings of the Computing in Cardiology, 2015

2014
Assessing the Accuracy of Limited Lead Recordings for the Detection of Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

Ethnic Variation in Prevalence of End QRS Notching and Slurring in Apparently Healthy Populations.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Automated Detection of the Culprit Artery from the ECG inAcute Myocardial Infarction.
Proceedings of the Computing in Cardiology, 2013


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