World's Best Scientists 2026 revealed!
Conor Heneghan

Conor Heneghan

D-Index & Metrics

Computer Science

D-Index
30
Citations
5650
World Ranking
13917
National Ranking
5532

Overview

Conor Heneghan is affiliated with Google in the United States and focuses their research primarily within the fields of psychology and medicine. Their work spans subfields including cardiology and cardiovascular medicine, experimental and cognitive psychology, biomedical engineering, clinical psychology, and applied psychology.

Their research topics cover a range of areas with particular emphasis on heart rate variability and autonomic control, non-invasive vital sign monitoring, COVID-19 and mental health, sleep and related disorders, digital mental health interventions, COVID-19 epidemiological studies, and ECG monitoring and analysis.

Frequent publication venues for Heneghan include SLEEP, bioRxiv (Cold Spring Harbor Laboratory), npj Digital Medicine, arXiv (Cornell University), and Frontiers in Physiology.

Notable recent papers authored or co-authored by Heneghan include:

  • Assessment of physiological signs associated with COVID-19 measured using wearable devices, 2020, npj Digital Medicine
  • Measurement of respiratory rate using wearable devices and applications to COVID-19 detection, 2021, npj Digital Medicine
  • Assessment of physiological signs associated with COVID-19 measured using wearable devices, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Towards a Personal Health Large Language Model, 2024, arXiv (Cornell University)
  • Occurrence of Relative Bradycardia and Relative Tachycardia in Individuals Diagnosed With COVID-19, 2022, Frontiers in Physiology

Heneghan has collaborated extensively with other researchers, including Logan Schneider, Daniel McDuff, Aravind Natarajan, Allen Jiang, and John Hernandez.

Best Publications

  • Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea

    P. de Chazal;C. Heneghan;E. Sheridan;R. Reilly

  • Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis.

    Conor Heneghan;John Flynn;John Flynn;Michael O’Keefe;Mark Cahill;Mark Cahill

  • A method for initialising the K-means clustering algorithm using kd-trees

    Stephen J. Redmond;Conor Heneghan

  • Establishing the relation between detrended fluctuation analysis and power spectral density analysis for stochastic processes

    C. Heneghan;G. McDarby;G. McDarby

  • Rectification and non-linear pre-processing of EMG signals for cortico-muscular analysis

    L.J Myers;M Lowery;M O'Malley;C.L Vaughan

  • Fractal character of the neural spike train in the visual system of the cat.

    Malvin C. Teich;Conor Heneghan;Steven B. Lowen;Tsuyoshi Ozaki

  • Analysis, Synthesis, and Estimation of Fractal-Rate Stochastic Point Processes

    Stefan Thurner;Steven B. Lowen;Markus C. Feurstein;Conor Heneghan

  • Assessment of physiological signs associated with COVID-19 measured using wearable devices.

    Aravind Natarajan;Hao-Wei Su;Conor Heneghan

  • Identification of the optic disk boundary in retinal images using active contours

    F. Mendels;C. Heneghan;J. Thiran

  • Information measures quantifying aperiodic stochastic resonance

    C. Heneghan;C. Heneghan;C. C. Chow;J. J. Collins;T. T. Imhoff

  • Automated detection of obstructive sleep apnoea at different time scales using the electrocardiogram

    Philip de Chazal;Thomas Penzel;Conor Heneghan

  • A comparison of algorithms for estimation of a respiratory signal from the surface electrocardiogram

    Ciara O'Brien;Conor Heneghan

  • SYSTEM FOR MONITORING CARDIORESPIRATORY PARAMETER

    Philip De Chazal;Conor Hanley;Conor Heneghan

  • Detection of obstructive sleep apnea in pediatric subjects using surface lead electrocardiogram features

    Redmond B Shouldice;Louise M O'Brien;Ciara O'Brien;Philip de Chazal

  • Sleep/wake measurement using a non-contact biomotion sensor.

    Philip De Chazal;Niall Fox;Emer O’Hare;Conor Heneghan

  • Sleep staging using cardiorespiratory signals

    S. J. Redmond;P. de Chazal;C. O'Brien;S. Ryan

  • CONTACTLESS AND MINIMAL-CONTACT MEASUREMENT OF QOL PARAMETERS FOR ASSESSMENT AND INTERVENTION

    Conor Heneghan;Conor Hanley;Niall Fox;Alberto Zaffaroni

  • SYSTEM AND METHOD FOR DETERMINING SLEEP STAGE, AND READABLE MEDIUM

    Conor Heneghan;Gareth Mcdarby;Emer O'hare;Paul Phillips

  • Apparatus for detecting sleep apnea using electrocardiogram signals

    Philip de Chazal;Conor Heneghan;Elaine sheridan

  • Registration of digital retinal images using landmark correspondence by expectation maximization

    Neil Ryan;Conor Heneghan;Philip de Chazal

  • Measurement of respiratory rate using wearable devices and applications to COVID-19 detection.

    Aravind Natarajan;Hao-Wei Su;Conor Heneghan;Leanna Blunt

  • Automatic classification of sleep apnea epochs using the electrocardiogram

    P. de Chazal;C. Heneghan;E. Sheridan;R. Reilly

  • Assessment of sleep/wake patterns using a non-contact biomotion sensor

    Philip de Chazal;Emer O'Hare;Niall Fox;Conor Heneghan

  • Multimodal detection of sleep apnoea using electrocardiogram and oximetry signals.

    Philip de Chazal;Conor Heneghan;Walter T McNicholas

Frequent Co-Authors

Malvin C. Teich
Malvin C. Teich Boston University
Stephen J. Redmond
Stephen J. Redmond University College Dublin
Mats Ulfendahl
Mats Ulfendahl Karolinska Institute
Mark O'Malley
Mark O'Malley Imperial College London
Richard B. Reilly
Richard B. Reilly Trinity College Dublin
Åke Flock
Åke Flock Karolinska Institute
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Chris Lonsdale
Chris Lonsdale Australian Catholic University
Suzanne Guerin
Suzanne Guerin University College Dublin
Anding Zhu
Anding Zhu University College Dublin

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