C
Conor Heneghan
Researcher at University College Dublin
Publications - 142
Citations - 6489
Conor Heneghan is an academic researcher from University College Dublin. The author has contributed to research in topics: Polysomnography & Sleep apnea. The author has an hindex of 40, co-authored 141 publications receiving 5941 citations. Previous affiliations of Conor Heneghan include Columbia University & National University of Ireland.
Papers
More filters
Journal ArticleDOI
Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea
TL;DR: Results show that the normal recordings could be separated from the apnoea recordings with a 100% success rate and a minute-by-minute classification accuracy of over 90% is achievable.
Patent
Apparatus, system, and method for monitoring physiological signs
TL;DR: In this article, the motion, breathing, and heart rate signals are obtained through processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor.
Journal ArticleDOI
Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis.
TL;DR: This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels, and applies a simple retrospective screening paradigm based solely on vessel width and tortuosity.
Journal ArticleDOI
A method for initialising the K-means clustering algorithm using kd-trees
TL;DR: This work presents a method for initialising the K-means clustering algorithm that hinges on the use of a kd-tree to perform a density estimation of the data at various locations and a modification of Katsavounidis' algorithm, which incorporates this density information.
Journal ArticleDOI
Rectification and non-linear pre-processing of EMG signals for cortico-muscular analysis
L.J. Myers,Madeleine M. Lowery,Mark O'Malley,Christopher L. Vaughan,Conor Heneghan,A. St Clair Gibson,Yolande X. R. Harley,R Sreenivasan +7 more
TL;DR: Arguments based on single motor unit action potential (AP) trains are used to demonstrate that rectification effectively enhances the firing rate information of the signal and grouped firing rate frequencies prior to coherency analyses may further aid interpretation of significant cortico-muscular coherence findings.