Lionel Tarassenko

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 33

Top Venues

CinC

EMBC

IEEE J. Biomed. Health Informatics

BMC Medical Informatics Decis. Mak.

Publications

Jonathan Carter, João Jorge, Oliver Gibson, Lionel Tarassenko
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CoRR (2024)
Shaun M. Davidson, Cristian Roman, Jonathan Carter, Mirae Harford, Lionel Tarassenko
Sleep Staging Using Wearables and Deep Neural Networks. BHI (2023)
Jonathan Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CVPR Workshops (2023)
Jonathan Carter, João Jorge, Bindia Venugopal, Oliver Gibson, Lionel Tarassenko
Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera. CoRR (2023)
Cristian Roman, Sarah Vollam, Peter J. Watkinson, Lionel Tarassenko
Wearables for continuous patient monitoring on COVID-19 isolation wards. BHI (2023)
Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W. Papiez, Adam Mahdi
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. MIUA (2022)
João Jorge, Mauricio Villarroel, Hamish Tomlinson, Oliver Gibson, Julie L. Darbyshire, Jody Ede, Mirae Harford, J. Duncan Young, Lionel Tarassenko, Peter Watkinson
Non-contact physiological monitoring of post-operative patients in the intensive care unit. npj Digit. Medicine 5 (2022)
Eoin Finnegan, Shaun M. Davidson, Mirae Harford, João Jorge, Mauricio Villarroel, Lionel Tarassenko
Classifying nocturnal blood pressure patterns using photoplethysmogram features. EMBC (2022)
Shaun M. Davidson, Cristian Roman, Lionel Tarassenko
Predicting Isolated Nocturnal Hypertension Using Dawn and Dusk Home Blood Pressure Monitoring. EMBC (2022)
Mauro D. Santos, Cristian Roman, Marco A. F. Pimentel, Sarah Vollam, Carlos Areia, Louise Young, Peter J. Watkinson, Lionel Tarassenko
A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. Frontiers Digit. Health 3 (2021)
João Jorge, Mirae Harford, Mauricio Villarroel, Sitthichok Chaichulee, Shaun Davidson, Eoin Finnegan, Samuel H. Clark, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko
Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography. IEEE Trans. Biomed. Eng. 68 (1) (2021)
Peter H. Charlton, Timothy Bonnici, Lionel Tarassenko, David A. Clifton, Richard Beale, Peter J. Watkinson, Jordi Alastruey
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. 65 (2021)
Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan, Daniel J. McDuff
Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Declan Grant, Bartlomiej W. Papiez, Guy Parsons, Lionel Tarassenko, Adam Mahdi
Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. MIUA (2021)
Shaun Davidson, Mauricio Villarroel, Eoin Finnegan, Mirae Harford, João Jorge, Lionel Tarassenko
Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit. CinC (2020)
Eoin Finnegan, Mauricio Villarroel, Shaun Davidson, Mirae Harford, João Jorge, Lionel Tarassenko
Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU. CinC (2020)
Mauricio Villarroel, Sitthichok Chaichulee, João Jorge, Sara Davis, Gabrielle Green, Carlos Arteta, Andrew Zisserman, Kenny McCormick, Peter J. Watkinson, Lionel Tarassenko
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit. npj Digit. Medicine 2 (2019)
Marco A. F. Pimentel, Adam Mahdi, Oliver Redfern, Mauro D. Santos, Lionel Tarassenko
Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU. CinC (2019)
Dario Salvi, Jameson Lee, Carmelo Velardo, Rishi Arvin Goburdhun, Lionel Tarassenko
Mobistudy: An Open Mobile-Health Platform for Clinical Research. BIBE (2019)
João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Gabrielle Green, Kenny McCormick, Lionel Tarassenko
Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah, Gholamreza Salimi Khorshidi, Dario Salvi, Kazem Rahimi, Lionel Tarassenko
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC (2018)
Delaram Jarchi, Dario Salvi, Lionel Tarassenko, David A. Clifton
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors 18 (11) (2018)
Delaram Jarchi, Adam Mahdi, Lionel Tarassenko, David A. Clifton
Visualisation of long-term ECG signals applied to post-intensive care patients. BSN (2018)
Delaram Jarchi, Dario Salvi, Carmelo Velardo, Adam Mahdi, Lionel Tarassenko, David A. Clifton
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN (2018)
Dario Salvi, Carmelo Velardo, Jamieson Brynes, Lionel Tarassenko
An Optimised Algorithm for Accurate Steps Counting From Smart-Phone Accelerometry. EMBC (2018)
Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, Drew A. Birrenkott, Peter J. Watkinson, Lionel Tarassenko, David A. Clifton
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. 64 (8) (2017)
João Jorge, Mauricio Villarroel, Sitthichok Chaichulee, Alessandro Guazzi, Sara Davis, Gabrielle Green, Kenny McCormick, Lionel Tarassenko
Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit. FG (2017)
Mauricio Villarroel, João Jorge, Chris Pugh, Lionel Tarassenko
Non-Contact Vital Sign Monitoring in the Clinic. FG (2017)
Andreas Triantafyllidis, Carmelo Velardo, Dario Salvi, Syed Ahmar Shah, Vassilios G. Koutkias, Lionel Tarassenko
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Gari D. Clifford, Carl Heneghan, Heather Rutter, Andrew Farmer, Lionel Tarassenko, Andreas Triantafyllidis, Veronika Williams, Maxine Hardinge, Christy Toms, Louise Jones, Stephanie Robinson, Jonathan Price, Linda Heritage
Digital health system for personalised COPD long-term management. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Sitthichok Chaichulee, Mauricio Villarroel, João Jorge, Carlos Arteta, Gabrielle Green, Kenny McCormick, Andrew Zisserman, Lionel Tarassenko
Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring. FG (2017)
Julien Oster, Lionel Tarassenko
Automated ECG Ventricular Beat Detection with Switching Kalman Filters. CinC (2016)
David B. Springer, Lionel Tarassenko, Gari D. Clifford
Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. 63 (4) (2016)
Andreas Triantafyllidis, Carmelo Velardo, Tracey Chantler, Syed Ahmar Shah, Chris Paton, Reza Khorshidi, Lionel Tarassenko, Kazem Rahimi
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics 84 (10) (2015)
Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah, Veronika Williams, Lionel Tarassenko, Andrew Farmer
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study. BMC Medical Informatics Decis. Mak. 15 (2015)
Arvind Raghu, Devarsetty Praveen, David Peiris, Lionel Tarassenko, Gari D. Clifford
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC Medical Informatics Decis. Mak. 15 (2015)
Christina Orphanidou, Timothy Bonnici, Peter Charlton, David A. Clifton, David Vallance, Lionel Tarassenko
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics 19 (3) (2015)
Syed Ahmar Shah, Carmelo Velardo, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko
Personalized alerts for patients with COPD using pulse oximetry and symptom scores. EMBC (2014)
Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young, Peter J. Watkinson, Lionel Tarassenko
. EMBC (2014)
Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
A review of novelty detection. Signal Process. 99 (2014)
Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics 18 (3) (2014)
Carmelo Velardo, Syed Ahmar Shah, Oliver J. Gibson, Heather Rutter, Andrew Farmer, Lionel Tarassenko
Automatic generation of personalised alert thresholds for patients with COPD. EUSIPCO (2014)
David A. Clifton, Lei A. Clifton, Samuel Hugueny, Lionel Tarassenko
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. 74 (3) (2014)
Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah, Lionel Tarassenko, Tracey Chantler, Chris Paton, Kazem Rahimi
Supporting heart failure patients through personalized mobile health monitoring. MobiHealth (2014)
Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63 (2) (2014)
David B. Springer, Lionel Tarassenko, Gari D. Clifford
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC (2014)
David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford
Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC (2014)
David B. Springer, Thomas Brennan, Liesl J. Zuhlke, Hassan Y. Abdelrahman, Ntobeko Ntusi, Gari D. Clifford, Bongani M. Mayosi, Lionel Tarassenko
Signal quality classification of mobile phone-recorded phonocardiogram signals. ICASSP (2014)
Mauro D. Santos, David A. Clifton, Lionel Tarassenko
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES (2013)
David A. Clifton, Lei A. Clifton, Samuel Hugueny, David Wong, Lionel Tarassenko
An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. 7 (1) (2013)
Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. 51 (8) (2013)
Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. 60 (1) (2013)
Sara Khalid, David A. Clifton, Lionel Tarassenko
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES (2013)
Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
Probabilistic estimation of respiratory rate using Gaussian processes. EMBC (2013)
Christina Orphanidou, Susannah Fleming, Syed Ahmar Shah, Lionel Tarassenko
Data fusion for estimating respiratory rate from a single-lead ECG. Biomed. Signal Process. Control. 8 (1) (2013)
Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko
Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP (2013)
David B. Springer, Kirsten L. Bobrow, Naomi Levitt, Andrew Farmer, Lionel Tarassenko
The SMS-text adherence support (StAR) study: hardware and software infrastructure. ICTD (2) (2013)
David A. Clifton, David Wong, Lei A. Clifton, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics 17 (4) (2013)
Oliver J. Gibson, Joyce S. Balami, George A. Pope, Lionel Tarassenko, Ian P. Reckless
"Stroke Nav": A wireless data collection and review system to support stroke care delivery. Comput. Methods Programs Biomed. 108 (1) (2012)
Timothy Bonnici, Christina Orphanidou, David Vallance, Alexander Darrell, Lionel Tarassenko
Testing of Wearable Monitors in a Real-World Hospital Environment: What Lessons Can Be Learnt? BSN (2012)
Thomas Brennan, Lionel Tarassenko
Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram. Biomed. Signal Process. Control. 7 (3) (2012)
David A. Clifton, Jeremy Gibbons, Jim Davies, Lionel Tarassenko
Machine learning and software engineering in health informatics. RAISE@ICSE (2012)
David Wong, David A. Clifton, Lionel Tarassenko
Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE (2012)
Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson, Lionel Tarassenko
Gaussian process regression in vital-sign early warning systems. EMBC (2012)
Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Peter J. Watkinson, Lionel Tarassenko
Vital-sign Data Fusion Models for Post-operative Patients. BIOSIGNALS (2012)
Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement. IEEE Trans. Inf. Technol. Biomed. 16 (6) (2012)
Christina Orphanidou, Timothy Bonnici, David Vallance, Alexander Darrell, Peter Charlton, Lionel Tarassenko
A method for assessing the reliability of heart rates obtained from ambulatory ECG. BIBE (2012)
Mark E. Larsen, Andrew Farmer, Andrew Weaver, Annie Young, Lionel Tarassenko
Mobile health for drug dose optimisation. EMBC (2011)
Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko
Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data. BIOSIGNALS (2011)
Lei A. Clifton, David A. Clifton, Peter J. Watkinson, Lionel Tarassenko
Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines. FedCSIS (2011)
David A. Clifton, Samuel Hugueny, Lionel Tarassenko
Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. 65 (3) (2011)
David A. Clifton, David Wong, Susannah Fleming, Sarah J. Wilson, Rob Way, Richard Pullinger, Lionel Tarassenko
Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL (2011)
David A. Clifton, Samuel Hugueny, Lionel Tarassenko
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP (2011)
Samuel Hugueny, David A. Clifton, Lionel Tarassenko
Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS (2010)
Samuel Hugueny, David A. Clifton, Lionel Tarassenko
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) (2010)
David A. Clifton, Peter R. Bannister, Lionel Tarassenko
Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE (2007)
Lisa Lazareck, Lionel Tarassenko
signal. EMBC (Supplement) (2006)
Taigang He, Gari D. Clifford, Lionel Tarassenko
Application of independent component analysis in removing artefacts from the electrocardiogram. Neural Comput. Appl. 15 (2) (2006)
David A. Clifton, Peter R. Bannister, Lionel Tarassenko
Learning Shape for Jet Engine Novelty Detection. ISNN (2) (2006)
David A. Clifton, Peter R. Bannister, Lionel Tarassenko
Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE (2006)
Lisa Lazareck, Lionel Tarassenko
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC (2006)
Gari D. Clifford, Lionel Tarassenko
Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans. Biomed. Eng. 52 (4) (2005)
Mihaela Duta, Chris Alford, Sue Wilson, Lionel Tarassenko
Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance. Int. J. Hum. Comput. Interact. 17 (2) (2004)
Patrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, Leonard A. Smith
A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. 50 (3) (2003)
Patrick E. McSharry, Leonard A. Smith, Lionel Tarassenko
Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Trans. Biomed. Eng. 50 (5) (2003)
Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts
Markov Models for Automated ECG Interval Analysis. NIPS (2003)
Dileepan Joseph, Lionel Tarassenko, Steve Collins
Analysis and simulation of a cascaded delta delta-sigma modulator. Comput. Stand. Interfaces 23 (2) (2001)
Lionel Tarassenko, Gari D. Clifford, Neil W. Townsend
Detection of Ectopic Beats in the Electrocardiogram Using an Auto-Associative Neural Network. Neural Process. Lett. 14 (1) (2001)
Paul M. Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. NIPS (2000)
Lionel Tarassenko, Alexandre Nairac, Neil W. Townsend, I. Buxton, Peter Cowley
Novelty detection for the identification of abnormalities. Int. J. Syst. Sci. 31 (11) (2000)
Neil W. Townsend, Lionel Tarassenko
Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing. Neural Comput. Appl. 8 (2) (1999)
Alexandre Nairac, Neil W. Townsend, Roy Carr, Steve King, Peter Cowley, Lionel Tarassenko
A System for the Analysis of Jet Engine Vibration Data. Integr. Comput. Aided Eng. 6 (1) (1999)
Neil W. Townsend, Lionel Tarassenko
Estimations of error bounds for neural-network function approximators. IEEE Trans. Neural Networks 10 (2) (1999)
Ruth M. Ripley, Adrian L. Harris, Lionel Tarassenko
Neural network models for breast cancer prognosis. Neural Comput. Appl. 7 (4) (1998)
Paul M. Hayton, Michael Brady, Lionel Tarassenko, Niall Moore
Analysis of dynamic MR breast images using a model of contrast enhancement. Medical Image Anal. 1 (3) (1997)
Graham Cairns, Lionel Tarassenko
Perturbation Techniques for on-Chip Learning with Analogue VLSI MLPs. J. Circuits Syst. Comput. 6 (2) (1996)
Lionel Tarassenko, R. M. Whitehouse, Giampietro Gasparini, Adrian L. Harris
Neural Network Prediction of Relapse in Breast Cancer Patients. Neural Comput. Appl. 4 (2) (1996)
Andrew Blake, Gabriel Hamid, Lionel Tarassenko
A design for a visual motion transducer. IEEE Trans. Robotics Autom. 11 (5) (1995)
Stephen J. Roberts, Lionel Tarassenko
A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. 6 (2) (1994)
Andrew Blake, Gabriel Hamid, Lionel Tarassenko
A design for a visual motion transducer. ICCV (1993)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lionel Tarassenko