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Lionel Tarassenko
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2020 – today
- 2024
- [c58]Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko:
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CVPR 2024: 12479-12489 - [i2]Jonathan F. Carter, João Jorge, Oliver Gibson, Lionel Tarassenko:
SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers. CoRR abs/2404.03831 (2024) - 2023
- [c57]Shaun M. Davidson
, Cristian Roman
Sleep Staging Using Wearables and Deep Neural Networks. BHI 2023: 1-4 - [c56]Cristian Roman
Wearables for continuous patient monitoring on COVID-19 isolation wards. BHI 2023: 1-4 - [c55]Jonathan F. 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: 5940-5949 - [i1]Jonathan F. 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 abs/2306.03711 (2023) - 2022
- [j52]João Jorge
Non-contact physiological monitoring of post-operative patients in the intensive care unit. npj Digit. Medicine 5 (2022) - [c54]Shaun M. Davidson
Predicting Isolated Nocturnal Hypertension Using Dawn and Dusk Home Blood Pressure Monitoring. EMBC 2022: 3011-3014 - [c53]Eoin Finnegan, Shaun M. Davidson
Classifying nocturnal blood pressure patterns using photoplethysmogram features. EMBC 2022: 3401-3404 - [c52]Benjamin Duvieusart
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. MIUA 2022: 13-27 - 2021
- [j51]Peter H. Charlton
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. Biomed. Signal Process. Control. 65: 102339 (2021) - [j50]Mauro D. Santos, Cristian Roman
A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. Frontiers Digit. Health 3: 630273 (2021) - [j49]João Jorge
Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography. IEEE Trans. Biomed. Eng. 68(1): 276-288 (2021) - [j48]Wenjin Wang
Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. IEEE J. Biomed. Health Informatics 25(5): 1358-1360 (2021) - [c51]Declan Grant, Bartlomiej W. Papiez, Guy Parsons
Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. MIUA 2021: 547-558 - 2020
- [c50]Shaun M. Davidson
Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit. CinC 2020: 1-4 - [c49]Eoin Finnegan, Mauricio Villarroel, Shaun M. Davidson
Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU. CinC 2020: 1-4
2010 – 2019
- 2019
- [j47]Mauricio Villarroel, Sitthichok Chaichulee
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit. npj Digit. Medicine 2 (2019) - [j46]João Jorge
Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit. IEEE J. Biomed. Health Informatics 23(6): 2335-2346 (2019) - [c48]Dario Salvi
Mobistudy: An Open Mobile-Health Platform for Clinical Research. BIBE 2019: 918-921 - [c47]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: 1-4 - 2018
- [j45]Delaram Jarchi
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions. Sensors 18(11): 3705 (2018) - [c46]Delaram Jarchi
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. BSN 2018: 144-147 - [c45]Delaram Jarchi
Visualisation of long-term ECG signals applied to post-intensive care patients. BSN 2018: 165-168 - [c44]Dario Salvi
An Optimised Algorithm for Accurate Steps Counting From Smart-Phone Accelerometry. EMBC 2018: 4423-4427 - [c43]Johanna O'Donnell, Carmelo Velardo, Syed Ahmar Shah
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches. EMBC 2018: 6092-6095 - 2017
- [j44]Carmelo Velardo
Digital health system for personalised COPD long-term management. BMC Medical Informatics Decis. Mak. 17(1): 19:1-19:13 (2017) - [j43]Marco A. F. Pimentel
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. IEEE Trans. Biomed. Eng. 64(8): 1914-1923 (2017) - [j42]Andreas Triantafyllidis, Carmelo Velardo, Dario Salvi
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare. IEEE J. Biomed. Health Informatics 21(1): 218-227 (2017) - [c42]Sitthichok Chaichulee
Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring. FG 2017: 266-272 - [c41]Mauricio Villarroel, João Jorge, Chris Pugh, Lionel Tarassenko:
Non-Contact Vital Sign Monitoring in the Clinic. FG 2017: 278-285 - [c40]João Jorge, Mauricio Villarroel, Sitthichok Chaichulee
Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit. FG 2017: 286-293 - 2016
- [j41]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Logistic Regression-HSMM-Based Heart Sound Segmentation. IEEE Trans. Biomed. Eng. 63(4): 822-832 (2016) - [c39]Julien Oster, Lionel Tarassenko:
Automated ECG Ventricular Beat Detection with Switching Kalman Filters. CinC 2016 - 2015
- [j40]Andreas Triantafyllidis
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study. Int. J. Medical Informatics 84(10): 743-753 (2015) - [j39]Arvind Raghu, Devarsetty Praveen
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study. BMC Medical Informatics Decis. Mak. 15: 36 (2015) - [j38]Maxine Hardinge, Heather Rutter, Carmelo Velardo, Syed Ahmar Shah
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: 46 (2015) - [j37]Christina Orphanidou, Timothy Bonnici, Peter Charlton
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. IEEE J. Biomed. Health Informatics 19(3): 832-838 (2015) - 2014
- [j36]Marco A. F. Pimentel
A review of novelty detection. Signal Process. 99: 215-249 (2014) - [j35]Lei A. Clifton
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors. IEEE J. Biomed. Health Informatics 18(3): 722-730 (2014) - [j34]Lei A. Clifton
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [j33]David A. Clifton, Lei A. Clifton
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. J. Signal Process. Syst. 74(3): 323-339 (2014) - [c38]David B. Springer, Thomas Brennan, Jens Hitzeroth, Bongani M. Mayosi, Lionel Tarassenko, Gari D. Clifford:
Robust Heart Rate Estimation from Noisy Phonocardiograms. CinC 2014: 613-616 - [c37]David B. Springer, Lionel Tarassenko, Gari D. Clifford:
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation. CinC 2014: 625-628 - [c36]Alistair E. W. Johnson, Jonathan Burgess, Marco A. F. Pimentel, David A. Clifton, J. Duncan Young
Physiological trajectory of patients pre and post ICU discharge1. EMBC 2014: 3160-3163 - [c35]Syed Ahmar Shah
Personalized alerts for patients with COPD using pulse oximetry and symptom scores. EMBC 2014: 3164-3167 - [c34]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: 1990-1994 - [c33]David B. Springer, Thomas Brennan, Liesl J. Zuhlke
Signal quality classification of mobile phone-recorded phonocardiogram signals. ICASSP 2014: 1335-1339 - [c32]Andreas Triantafyllidis, Carmelo Velardo, Syed Ahmar Shah
Supporting heart failure patients through personalized mobile health monitoring. MobiHealth 2014: 287-290 - 2013
- [j32]Christina Orphanidou, Susannah Fleming
Data fusion for estimating respiratory rate from a single-lead ECG. Biomed. Signal Process. Control. 8(1): 98-105 (2013) - [j31]David A. Clifton, Lei A. Clifton
An Extreme Function Theory for Novelty Detection. IEEE J. Sel. Top. Signal Process. 7(1): 28-37 (2013) - [j30]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton
Modelling physiological deterioration in post-operative patient vital-sign data. Medical Biol. Eng. Comput. 51(8): 869-877 (2013) - [j29]Lei A. Clifton
Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors. IEEE Trans. Biomed. Eng. 60(1): 193-197 (2013) - [j28]David A. Clifton, David Wong
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department. IEEE J. Biomed. Health Informatics 17(4): 835-842 (2013) - [c31]Marco A. F. Pimentel, David A. Clifton, Lei A. Clifton, Lionel Tarassenko:
Probabilistic estimation of respiratory rate using Gaussian processes. EMBC 2013: 2902-2905 - [c30]Sara Khalid
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations. FHIES 2013: 146-158 - [c29]Mauro D. Santos, David A. Clifton, Lionel Tarassenko:
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department. FHIES 2013: 159-169 - [c28]David B. Springer, Kirsten L. Bobrow, Naomi Levitt
The SMS-text adherence support (StAR) study: hardware and software infrastructure. ICTD (2) 2013: 147-150 - [c27]Marco A. F. Pimentel, David A. Clifton, Lionel Tarassenko:
Gaussian process clustering for the functional characterisation of vital-sign trajectories. MLSP 2013: 1-6 - 2012
- [j27]Thomas Brennan, Lionel Tarassenko:
Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram. Biomed. Signal Process. Control. 7(3): 278-284 (2012) - [j26]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): 338-345 (2012) - [j25]Sara Khalid
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): 1231-1238 (2012) - [c26]David Wong
Probabilistic detection of vital sign abnormality with Gaussian process regression. BIBE 2012: 187-192 - [c25]Christina Orphanidou, Timothy Bonnici, David Vallance, Alexander Darrell, Peter Charlton
A method for assessing the reliability of heart rates obtained from ambulatory ECG. BIBE 2012: 193-196 - [c24]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: 410-413 - [c23]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: 79-84 - [c22]Lei A. Clifton, David A. Clifton, Marco A. F. Pimentel, Peter J. Watkinson
Gaussian process regression in vital-sign early warning systems. EMBC 2012: 6161-6164 - [c21]David A. Clifton, Jeremy Gibbons
Machine learning and software engineering in health informatics. RAISE@ICSE 2012: 37-41 - 2011
- [j24]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Novelty Detection with Multivariate Extreme Value Statistics. J. Signal Process. Syst. 65(3): 371-389 (2011) - [c20]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: 425-428 - [c19]Mark E. Larsen, Andrew Farmer, Andrew Weaver, Annie Young, Lionel Tarassenko:
Mobile health for drug dose optimisation. EMBC 2011: 1540-1543 - [c18]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: 125-131 - [c17]David A. Clifton, David Wong
Novelty Detection for Identifying Deterioration in Emergency Department Patients. IDEAL 2011: 220-227 - [c16]David A. Clifton, Samuel Hugueny, Lionel Tarassenko:
Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution. MLSP 2011: 1-6 - 2010
- [c15]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration. BIOSIGNALS 2010: 5-12 - [c14]Samuel Hugueny, David A. Clifton, Lionel Tarassenko:
Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory. BIOSTEC (Selected Papers) 2010: 199-211
2000 – 2009
- 2008
- [p1]David A. Clifton, Lei A. Clifton
Automated Novelty Detection in Industrial Systems. Advances of Computational Intelligence in Industrial Systems 2008: 269-296 - 2007
- [c13]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Novelty Detection in Large-Vehicle Turbocharger Operation. IEA/AIE 2007: 591-600 - 2006
- [j23]Taigang He, Gari D. Clifford, Lionel Tarassenko:
Application of independent component analysis in removing artefacts from the electrocardiogram. Neural Comput. Appl. 15(2): 105-116 (2006) - [c12]Lisa Lazareck, Lionel Tarassenko:
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC 2006: 3879-3882 - [c11]Lisa Lazareck, Lionel Tarassenko:
Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal. EMBC (Supplement) 2006: 6573-6576 - [c10]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring. IEA/AIE 2006: 1149-1158 - [c9]David A. Clifton, Peter R. Bannister, Lionel Tarassenko:
Learning Shape for Jet Engine Novelty Detection. ISNN (2) 2006: 828-835 - 2005
- [j22]Gari D. Clifford, Lionel Tarassenko:
Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans. Biomed. Eng. 52(4): 630-638 (2005) - 2004
- [j21]Mihaela Duta
Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance. Int. J. Hum. Comput. Interact. 17(2): 171-195 (2004) - 2003
- [j20]Patrick E. McSharry
A dynamical model for generating synthetic electrocardiogram signals. IEEE Trans. Biomed. Eng. 50(3): 289-294 (2003) - [j19]Patrick E. McSharry
Comparison of predictability of epileptic seizures by a linear and a nonlinear method. IEEE Trans. Biomed. Eng. 50(5): 628-633 (2003) - [c8]Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts:
Markov Models for Automated ECG Interval Analysis. NIPS 2003: 611-618 - 2001
- [j18]Dileepan Joseph, Lionel Tarassenko, Steve Collins:
Analysis and simulation of a cascaded delta delta-sigma modulator. Comput. Stand. Interfaces 23(2): 103-110 (2001) - [j17]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): 15-25 (2001) - 2000
- [j16]Lionel Tarassenko, Alexandre Nairac, Neil W. Townsend, I. Buxton, Peter Cowley:
Novelty detection for the identification of abnormalities. Int. J. Syst. Sci. 31(11): 1427-1439 (2000) - [c7]Paul M. Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis:
Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. NIPS 2000: 946-952
1990 – 1999
- 1999
- [j15]Alexandre Nairac, Neil W. Townsend, Roy Carr, Steve King
A System for the Analysis of Jet Engine Vibration Data. Integr. Comput. Aided Eng. 6(1): 53-66 (1999) - [j14]Neil W. Townsend, Lionel Tarassenko:
Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing. Neural Comput. Appl. 8(2): 114-134 (1999) - [j13]Neil W. Townsend, Lionel Tarassenko:
Estimations of error bounds for neural-network function approximators. IEEE Trans. Neural Networks 10(2): 217-230 (1999) - 1998
- [j12]Ruth M. Ripley, Adrian L. Harris
Neural network models for breast cancer prognosis. Neural Comput. Appl. 7(4): 367-375 (1998) - 1997
- [j11]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): 207-224 (1997) - 1996
- [j10]Graham Cairns, Lionel Tarassenko:
Perturbation Techniques for on-Chip Learning with Analogue VLSI MLPs. J. Circuits Syst. Comput. 6(2): 93-114 (1996) - [j9]Lionel Tarassenko, R. M. Whitehouse, Giampietro Gasparini, Adrian L. Harris
Neural Network Prediction of Relapse in Breast Cancer Patients. Neural Comput. Appl. 4(2): 105-113 (1996) - 1995
- [j8]Andrew Blake, Gabriel Hamid, Lionel Tarassenko:
A design for a visual motion transducer. IEEE Trans. Robotics Autom. 11(5): 625-633 (1995) - 1994
- [j7]Stephen J. Roberts, Lionel Tarassenko:
A Probabilistic Resource Allocating Network for Novelty Detection. Neural Comput. 6(2): 270-284 (1994) - 1993
- [j6]Lionel Tarassenko, Jon Tombs, Graham Cairns:
On-Chip Learning With Analogue Vlsi Neural Networks. Int. J. Neural Syst. 4(4): 419-426 (1993) - [j5]Jake Reynolds, Lionel Tarassenko:
Learning Pronunciation with the Visual Ear. Neural Comput. Appl. 1(3): 169-175 (1993) - [c6]Andrew Blake, Gabriel Hamid, Lionel Tarassenko:
A design for a visual motion transducer. ICCV 1993: 237-241 - 1992
- [j4]Jake Reynolds, Lionel Tarassenko:
Spoken Letter Recognition with Neural Networks. Int. J. Neural Syst. 3(3): 219-235 (1992) - [j3]Alister Hamilton
Integrated pulse stream neural networks: results, issues, and pointers. IEEE Trans. Neural Networks 3(3): 385-393 (1992) - 1991
- [j2]Alan F. Murray, Dante Del Corso, Lionel Tarassenko:
Pulse-stream VLSI neural networks mixing analog and digital techniques. IEEE Trans. Neural Networks 2(2): 193-204 (1991) - [c5]Lionel Tarassenko, A. Blake:
Analogue computation of collision-free paths. ICRA 1991: 540-545 - 1990
- [c4]Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray:
Real-Time Autonomous Robot Navigation Using VLSI Neural Networks. NIPS 1990: 422-428
1980 – 1989
- 1989
- [j1]Keith J. Hanna, Lionel Tarassenko:
Tracking cataract by the "four-line" method. Image Vis. Comput. 7(1): 57-62 (1989) - [c3]Michael Brownlow, Lionel Tarassenko, Alan F. Murray, Alister Hamilton, Il Song Han, H. Martin Reekie:
Pulse-Firing Neural Chips for Hundreds of Neurons. NIPS 1989: 785-792 - 1988
- [c2]Keith J. Hanna, Lionel Tarassenko:
Tracking Cataract by the Four-Line Method. Alvey Vision Conference 1988: 1-6 - [c1]Alister Hamilton, Alan F. Murray, Lionel Tarassenko:
Programmable Analog Pulse-Firing Neural Networks. NIPS 1988: 671-677
Coauthor Index
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