Lionel Tarassenko

发表

Detection of interictal epileptic events in EEG using ANN

Yusuf Uzzaman Khan, Lionel Tarassenko, 1997 .

A Validation Index For Artificial Neural Networks

Stephen J. Roberts, Lionel Tarassenko, James Pardey, 1996 .

Identification of patient deterioration in vital-sign data using one-class support vector machines

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2011, 2011 Federated Conference on Computer Science and Information Systems (FedCSIS).

Data fusion for improved camera-based detection of respiration in neonates

Lionel Tarassenko, João Jorge, Mauricio Villarroel, 2018, BiOS.

Prediction of epileptic seizures: are nonlinear methods relevant?

Patrick E. McSharry, Lionel Tarassenko, Leonard A. Smith, 2003, Nature Medicine.

Quantifying errors in spectral estimates of HRV due to beat replacement and resampling

Lionel Tarassenko, Gari D. Clifford, L. Tarassenko, 2005, IEEE Transactions on Biomedical Engineering.

Predicting Clinical Deteriorations using Wearable Sensors

David A. Clifton, Lionel Tarassenko, Richard Beale, 2018 .

Detection of Ectopic Beats in the Electrocardiogram Using an Auto-Associative Neural Network

Lionel Tarassenko, Gari D. Clifford, Neil W. Townsend, 2004, Neural Processing Letters.

A comparison of approaches to multivariate extreme value theory for novelty detection

David A. Clifton, Lionel Tarassenko, Samuel Hugueny, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study

Carmelo Velardo, Lionel Tarassenko, Andreas Triantafyllidis, 2015, Int. J. Medical Informatics.

Novelty Detection in Large-Vehicle Turbocharger Operation

David A. Clifton, Lionel Tarassenko, Peter R. Bannister, 2007, IEA/AIE.

Pulse-Firing Neural Chips for Hundreds of Neurons

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1989, NIPS.

Gaussian process regression in vital-sign early warning systems

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Support vector machine hidden semi-Markov model-based heart sound segmentation

Lionel Tarassenko, Gari D. Clifford, David B. Springer, 2014, Computing in Cardiology 2014.

Analysis and simulation of a cascaded delta delta-sigma modulator

Lionel Tarassenko, D. Joseph, Steve Collins, 2001, Comput. Stand. Interfaces.

Digital health system for personalised COPD long-term management

Carmelo Velardo, Lionel Tarassenko, Syed Ahmar Shah, 2017, BMC Medical Informatics and Decision Making.

Application of an Intuitive Novelty Metric for Jet Engine Condition Monitoring

David A. Clifton, Lionel Tarassenko, Peter R. Bannister, 2006, IEA/AIE.

An Optimised Algorithm for Accurate Steps Counting From Smart-Phone Accelerometry

Dario Salvi, Carmelo Velardo, Lionel Tarassenko, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

PULSED SILICON NEURAL NETWORKS - FOLLOWING THE BIOLOGICAL LEADER -

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1991 .

BioSleep: a comprehensive sleep analysis system

Lionel Tarassenko, N. McGrogan, E. Braithwaite, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neural network architectures for content-addressable memory

Lionel Tarassenko, J. N. Tombs, J. H. Reynolds, 1991 .

Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2011, BIOSIGNALS.

Text-independent speaker recognition using neural network techniques

Lionel Tarassenko, S. E. Fredrickson, L. Tarassenko, 1995 .

Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography

Lionel Tarassenko, Mauricio Villarroel, Joao Jorge, 2020, IEEE Transactions on Biomedical Engineering.

Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory

David A. Clifton, Lionel Tarassenko, Samuel Hugueny, 2010, BIOSTEC.

Neural network prediction of relapse in breast cancer patients

Lionel Tarassenko, R. M. Whitehouse, Giampietro Gasparini, 2005, Neural Computing & Applications.

A fast, novel, cascadable design for multi-layer networks

Lionel Tarassenko, J. N. Tombs, 1991 .

Physiological trajectory of patients pre and post ICU discharge1

David A. Clifton, Lionel Tarassenko, Peter J. Watkinson, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Novel analogue VLSI design for multilayer networks

Lionel Tarassenko, J. N. Tombs, A. F. Murray, 1992 .

Human fetal heart rate analysis during labour

Lionel Tarassenko, S. Cazares, M. Moulden, 1999 .

Visualisation of High-Dimensional Data for Very Large Data Sets

Lionel Tarassenko, David Wong, Iain Guy Strachan, 2008 .

Data fusion for estimating respiratory rate from a single-lead ECG

Lionel Tarassenko, Syed Ahmar Shah, Christina Orphanidou, 2013, Biomed. Signal Process. Control..

Design, training and testing of the prototype

Lionel Tarassenko, 1998 .

The study of micro-arousals using neural network analysis of the EEG

Lionel Tarassenko, M. Zamora, 1999 .

Neural Network Analysis of the Mastoid EEG for the Assessment of Vigilance

Lionel Tarassenko, Chris Alford, Mihaela Duta, 2004, Int. J. Hum. Comput. Interact..

Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram

Lionel Tarassenko, Thomas Brennan, L. Tarassenko, 2012, Biomed. Signal Process. Control..

Collecting and preparing data

Lionel Tarassenko, 1998 .

A System for the Analysis of Jet Engine Vibration Data

Lionel Tarassenko, Steve King, Neil W. Townsend, 1999, Integr. Comput. Aided Eng..

Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study

Lionel Tarassenko, Gari D. Clifford, Arvind Raghu, 2015, BMC Medical Informatics and Decision Making.

Cognitive Systems Need to Plan, to Interact with Others and to Act: Introduction

Lionel Tarassenko, Richard W. Morris, L. Tarassenko, 2006 .

Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra

Bernhard Schölkopf, Lionel Tarassenko, Paul M. Hayton, 2000, NIPS.

Working Analogue Pulse-Firing Neural Network Chips

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1991 .

Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches

Dario Salvi, Carmelo Velardo, Lionel Tarassenko, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

More advanced topics

Lionel Tarassenko, 1998 .

Integrated pulse stream neural networks: results, issues, and pointers

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1992, IEEE Trans. Neural Networks.

Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study

Carmelo Velardo, Lionel Tarassenko, Tracey Chantler, 2016, Digital health.

Novelty detection for the identification of abnormalities

Lionel Tarassenko, Neil W. Townsend, Alexandre Nairac, 2000, Int. J. Syst. Sci..

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, IEEE Transactions on Biomedical Engineering.

Novel signal shape descriptors through wavelet transforms and dimensionality reduction

Lionel Tarassenko, Nicholas P. Hughes, 2003, SPIE Optics + Photonics.

Automatic generation of personalised alert thresholds for patients with COPD

Carmelo Velardo, Lionel Tarassenko, Andrew Farmer, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Non-contact measurement of oxygen saturation with an RGB camera.

Lionel Tarassenko, Mauricio Villarroel, Alessandro R Guazzi, 2015, Biomedical optics express.

A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare

Vassilis Koutkias, Dario Salvi, Carmelo Velardo, 2017, IEEE Journal of Biomedical and Health Informatics.

Cascadability and in-situ learning for VLSI multi-layer networks

Alan F. Murray, Lionel Tarassenko, J. N. Tombs, 1993 .

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, J. Signal Process. Syst..

Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry

Lionel Tarassenko, Peter Charlton, Marco A. F. Pimentel, 2019, Healthcare technology letters.

Probabilistic Novelty Detection With Support Vector Machines

Yang Zhang, David A. Clifton, Hujun Yin, 2014, IEEE Transactions on Reliability.

Markov Models for Automated ECG Interval Analysis

Stephen J. Roberts, Lionel Tarassenko, Nicholas P. Hughes, 2003, NIPS.

Multi-Task Convolutional Neural Network for Patient Detection and Skin Segmentation in Continuous Non-Contact Vital Sign Monitoring

Andrew Zisserman, João Jorge, Lionel Tarassenko, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Spoken Letter Recognition with Neural Networks

Lionel Tarassenko, Jake Reynolds, 1991, Int. J. Neural Syst..

Probabilistic approach to the condition monitoring of aerospace engines

David A. Clifton, Lionel Tarassenko, Peter R. Bannister, 2009 .

Automated detection of sleep-boundary times using wrist-worn accelerometry

Aiden R. Doherty, Carmelo Velardo, Lionel Tarassenko, 2017, bioRxiv.

A review of novelty detection

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2014, Signal Process..

A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2012, IEEE Transactions on Information Technology in Biomedicine.

Robot path planning using VLSI resistive grids

Lionel Tarassenko, G. F. Marshall, L. Tarassenko, 1993 .

Sleep apnoea analysis from neural network post-processing

Stephen J. Roberts, Lionel Tarassenko, John Stradling, 1995 .

A dynamical model for generating synthetic electrocardiogram signals

Patrick E. McSharry, Lionel Tarassenko, Leonard A. Smith, 2003, IEEE Transactions on Biomedical Engineering.

Learning pronunciation with the Visual ear

Lionel Tarassenko, Jake Reynolds, 2005, Neural Computing & Applications.

Estimations of error bounds for RBF networks

Lionel Tarassenko, Neil William Townsend, 1997 .

Testing of Wearable Monitors in a Real-World Hospital Environment: What Lessons Can Be Learnt?

Lionel Tarassenko, Christina Orphanidou, Timothy Bonnici, 2012, 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks.

VLSI implementation of neural networks

Alan F. Murray, Lionel Tarassenko, 1989 .

The Use of Expert Annotations to Assess Signal Quality of Phonocardiograms Using Mstethoscope : A Feasibility Study

Lionel Tarassenko, Thomas Brennan, David Springer, 2013 .

The use of novelty detection techniques for monitoring high-integrity plant

Lionel Tarassenko, Steve P. King, D. M. King, 2002, Proceedings of the International Conference on Control Applications.

Non‐linear survival analysis using neural networks

Lionel Tarassenko, Ruth M Ripley, Adrian L Harris, 2004, Statistics in medicine.

Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study

Carmelo Velardo, Lionel Tarassenko, Andrew Farmer, 2015, BMC Medical Informatics and Decision Making.

Novelty Detection for Identifying Deterioration in Emergency Department Patients

David A. Clifton, Lionel Tarassenko, Susannah Fleming, 2011, IDEAL.

Mathematical background for neural computing

Lionel Tarassenko, L. Tarassenko, 1998 .

Mobile health for drug dose optimisation

Lionel Tarassenko, Andrew Weaver, Andrew Farmer, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Innovations in Pulse Stream Neural VLSI : Arithmetic and Communications

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1990 .

Automated ECG ventricular beat detection with switching Kalman filters

Lionel Tarassenko, Julien Oster, L. Tarassenko, 2016, 2016 Computing in Cardiology Conference (CinC).

Automated Sleep EEg Analysis using an RBF Network

Stephen J. Roberts, Lionel Tarassenko, 1995 .

Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring

David A. Clifton, Lionel Tarassenko, Christina Orphanidou, 2015, IEEE Journal of Biomedical and Health Informatics.

Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU

Lionel Tarassenko, Adam Mahdi, Marco AF Pimentel, 2019, 2019 Computing in Cardiology (CinC).

A Novel Algorithm to Obtain Respiratory Rate from the PPG Signal

Lionel Tarassenko, L. Tarassenko, 2015 .

Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department

David A. Clifton, Lionel Tarassenko, Mauro D. Santos, 2013, FHIES.

Personalized alerts for patients with COPD using pulse oximetry and symptom scores

Carmelo Velardo, Lionel Tarassenko, Andrew Farmer, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters

David A. Clifton, Lionel Tarassenko, Peter J. Watkinson, 2016 .

Novelty detection for the identification of masses in mammograms

Michael Brady, Lionel Tarassenko, Paul Hayton, 1995 .

A design for a visual motion transducer

Andrew Blake, Lionel Tarassenko, Gabriel Hamid, 1995, IEEE Trans. Robotics Autom..

Gaussian process clustering for the functional characterisation of vital-sign trajectories

David A. Clifton, Lionel Tarassenko, Marco A. F. Pimentel, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Machine learning and software engineering in health informatics

Jim Davies, David A. Clifton, Jeremy Gibbons, 2012, 2012 First International Workshop on Realizing AI Synergies in Software Engineering (RAISE).

Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit

Lionel Tarassenko, Mauricio Villarroel, Sitthichok Chaichulee, 2019, IEEE Journal of Biomedical and Health Informatics.

Static and dynamic novelty detection methods for jet engine health monitoring

Lionel Tarassenko, Dennis King, Steve King, 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Learning Shape for Jet Engine Novelty Detection

David A. Clifton, Lionel Tarassenko, Peter R. Bannister, 2006, ISNN.

Non-Contact Vital Sign Monitoring in the Clinic

João Jorge, Lionel Tarassenko, Mauricio Villarroel, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Analogue Neural Vlsi: A Pulse Stream Approach

Alan F. Murray, Lionel Tarassenko, 1994 .

Analog VLSI Neural Networks : Pulse Stream Implementations

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1989 .

Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions

David A. Clifton, Dario Salvi, Lionel Tarassenko, 2018, Sensors.

Neural network architectures for associative memory

Alan F. Murray, Lionel Tarassenko, J. N. Tombs, 1989 .

Probabilistic detection of vital sign abnormality with Gaussian process regression

David A. Clifton, Lionel Tarassenko, David Wong, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2014, IEEE Journal of Biomedical and Health Informatics.

A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations

David A. Clifton, Lionel Tarassenko, Sara Khalid, 2013, FHIES.

Probabilistic estimation of respiratory rate using Gaussian processes

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Logistic Regression-HSMM-Based Heart Sound Segmentation

Lionel Tarassenko, Gari D. Clifford, David B. Springer, 2016, IEEE Transactions on Biomedical Engineering.

Analogue computation using VLSI neural network devices

Alan F. Murray, Lionel Tarassenko, Michael Brownlow, 1990 .

Neural Information Processing Systems (NIPS) Conference

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1993 .

Neural network models for breast cancer prognosis

Lionel Tarassenko, Ruth M. Ripley, Adrian L. Harris, 2005, Neural Computing & Applications.

A design for a visual motion transducer

Andrew Blake, Lionel Tarassenko, Gabriel Hamid, 1993, 1993 (4th) International Conference on Computer Vision.

Neural networks-extraordinary variation

Leonardo Maria Reyneri, Karl Goser, Ulrich Rückert, 1995, IEEE Micro.

Novelty Detection with Multivariate Extreme Value Statistics

David A. Clifton, Lionel Tarassenko, Samuel Hugueny, 2011, J. Signal Process. Syst..

Perturbation Techniques for on-Chip Learning with Analogue VLSI MLPs

Lionel Tarassenko, Graham Cairns, 1996, J. Circuits Syst. Comput..

Robust heart rate estimation from noisy phonocardiograms

Lionel Tarassenko, Gari D. Clifford, Thomas Brennan, 2014, Computing in Cardiology 2014.

Managing a neural computing project

Lionel Tarassenko, 1998 .

CHAPTER 4 – Sensory Processing

Lionel Tarassenko, Mike Denham, L. Tarassenko, 2006 .

The SMS-text adherence support (StAR) study: hardware and software infrastructure

Lionel Tarassenko, Andrew Farmer, David B. Springer, 2013, ICTD.

Analysis of dynamic MR breast images using a model of contrast enhancement

Michael Brady, Lionel Tarassenko, Niall Moore, 1997, Medical Image Anal..

Real-Time Autonomous Robot Navigation Using VLSI Neural Networks

Alan F. Murray, Lionel Tarassenko, Michael Brownlow, 1990, NIPS.

Neural Networks for Mobile Robot Localisation using Infra-Red Range Sensing

Lionel Tarassenko, Neil W. Townsend, L. Tarassenko, 1999, Neural Computing & Applications.

Implementation issues for on-chip learning with analogue VLSI MLPS

Lionel Tarassenko, G. A. Cairns, 1995 .

Choosing an appropriate model for novelty detection

Lionel Tarassenko, Ruth M. Ripley, Alexandre Nairac, 1997 .

Comparison of predictability of epileptic seizures by a linear and a nonlinear method

Patrick E. McSharry, Lionel Tarassenko, Leonard A. Smith, 2003, IEEE Transactions on Biomedical Engineering.

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings

David A. Clifton, Dario Salvi, Carmelo Velardo, 2018, 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

A Probabilistic Resource Allocating Network for Novelty Detection

Stephen J. Roberts, Lionel Tarassenko, L. Tarassenko, 1994, Neural Computation.

A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, IEEE Journal of Biomedical and Health Informatics.

Visualisation of long-term ECG signals applied to post-intensive care patients

David A. Clifton, Lionel Tarassenko, Delaram Jarchi, 2018, 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

A method for assessing the reliability of heart rates obtained from ambulatory ECG

Lionel Tarassenko, Christina Orphanidou, Peter Charlton, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Multi-sensor fusion for robust computation of breathing rate

Lionel Tarassenko, L. Mason, Neil William Townsend, 2002 .

IEEE Workshop on Microelectronics for Neural Networks, Dortmund

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1990 .

Probabilistic Patient Monitoring using Extreme Value Theory - A Multivariate, Multimodal Methodology for Detecting Patient Deterioration

David A. Clifton, Lionel Tarassenko, Samuel Hugueny, 2010, BIOSIGNALS.

Method for generating an artificial RR tachogram of a typical healthy human over 24-hours

Patrick E. McSharry, Lionel Tarassenko, Leonard A. Smith, 2002, Computers in Cardiology.

Programmable Analog Pulse-Firing Neural Networks

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1988, NIPS.

Pinning the tail on the distribution: A multivariate extension to the generalised Pareto distribution

David A. Clifton, Lionel Tarassenko, Samuel Hugueny, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Non-Contact Monitoring of Respiration in the Neonatal Intensive Care Unit

João Jorge, Lionel Tarassenko, Mauricio Villarroel, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Automated signal quality assessment of mobile phone-recorded heart sound signals

Gari D Clifford, Lionel Tarassenko, David B. Springer, 2016, Journal of medical engineering & technology.

Pulse-stream arithmetic in programmable neural networks

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1989, IEEE International Symposium on Circuits and Systems,.

Automated Novelty Detection in Industrial Systems

David A. Clifton, Lionel Tarassenko, Peter R. Bannister, 2008, Advances of Computational Intelligence in Industrial Systems.

The use of neural networks in EEG analysis

Stephen J. Roberts, Lionel Tarassenko, James Pardey, 1995 .

Supporting heart failure patients through personalized mobile health monitoring

Carmelo Velardo, Lionel Tarassenko, Andreas Triantafyllidis, 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).

4 – Identifying applications and assessing their feasibility

Lionel Tarassenko, 1998 .

Localised photoplethysmography imaging for heart rate estimation of pre-term infants in the clinic

Andrew Zisserman, Lionel Tarassenko, João Jorge, 2018, BiOS.

Monitor the health of a plant energy production.

Lionel Tarassenko, Paul Anuzis, Steve P. King, 2001 .

Guide to Neural Computing Applications

Lionel Tarassenko, L. Tarassenko, 1998 .

Results from Pulse-Stream VLSI Neural Network Devices

Alan F. Murray, Lionel Tarassenko, Michael Brownlow, 1991 .

Towards assisted living via probabilistic vital-sign monitoring in the home

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2011 .

Signal processing methods for heart rate variability

Lionel Tarassenko, 2002 .

Fully-Programmable Analogue VLSI Devices for the Implementation of Neural Networks

Alan F. Murray, Lionel Tarassenko, A. V. W. Smith, 1989 .

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

David A. Clifton, Jordi Alastruey, Lionel Tarassenko, 2017, IEEE Reviews in Biomedical Engineering.

Vital-sign Data Fusion Models for Post-operative Patients

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2012, BIOSIGNALS.

Novelty detection in jet engine vibration spectra

David A. Clifton, Lionel Tarassenko, 2009 .

Neural computing hardware and software

Lionel Tarassenko, 1998 .

Proceedings IEEE International Symposium on Circuits and Systems, Portland, Oregon

Alan F. Murray, Alister Hamilton, Lionel Tarassenko, 1989 .

Oxford Track-&-Trigger Electronic System for Trauma. A randomised stepped wedge trial comparing the effects of an integrated electronic “Track-and-Trigger” system and a paper-based “track-and-trigger” system. Protocol.

Lionel Tarassenko, Peter J. Watkinson, S Webb, 2010 .

OTEST: Oxford Track-&-Trigger Electronic System for Trauma Protocol

Lionel Tarassenko, Peter J. Watkinson, J Price, 2017 .

Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning

Andrew Zisserman, Lionel Tarassenko, Carlos Arteta, 2019, Physiological measurement.

Monitoring Patient Vital-Sign Deterioration Trajectories using Bayesian Inference

David A. Clifton, Lionel Tarassenko, S Khalid, 2011 .

Modelling physiological deterioration in post-operative patient vital-sign data

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, Medical & Biological Engineering & Computing.

An Extreme Function Theory for Novelty Detection

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013, IEEE Journal of Selected Topics in Signal Processing.

A Probabilistic Framework for M-Health

David A. Clifton, Lionel Tarassenko, Lei A. Clifton, 2013 .

Pulse-stream VLSI neural networks mixing analog and digital techniques

Alan F. Murray, Lionel Tarassenko, Dante Del Corso, 1991, IEEE Trans. Neural Networks.

Quantitative assessment of respiratory derivation algorithms

Lionel Tarassenko, C. L. Mason, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimations of error bounds for neural-network function approximators

Lionel Tarassenko, Neil W. Townsend, L. Tarassenko, 1999, IEEE Trans. Neural Networks.

IEE Conference on Artificial Neural Networks

Alan F. Murray, Lionel Tarassenko, J. N. Tombs, 1991 .

Interview with Lionel Tarassenko

Lionel Tarassenko, 2011 .

2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

Lionel Tarassenko, Peter Charlton, Christina Orphanidou, 2012 .

The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation

Lionel Tarassenko, Dario Salvi, Emma Poffley, 2020, JMIR mHealth and uHealth.

Neural network training using multi-channel data with aggregate labelling

Lionel Tarassenko, Christopher M. Bishop, Nmcgrogan, 1999 .

View image display for patient condition

Lionel Tarassenko, Neil William Townsend, 2002 .

Isolated word recognition with the radial basis function classifier

Lionel Tarassenko, J. H. Reynolds, 1991 .

Anzeigevorrichtung für Patientenzustand

Lionel Tarassenko, Neil William Townsend, 2002 .

Application of independent component analysis in removing artefacts from the electrocardiogram

Lionel Tarassenko, Gari D. Clifford, Taigang He, 2006, Neural Computing & Applications.

Signal quality classification of mobile phone-recorded phonocardiogram signals

Lionel Tarassenko, Gari D. Clifford, Thomas Brennan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics

Daniel McDuff, Steffen Leonhardt, Lionel Tarassenko, 2021, IEEE J. Biomed. Health Informatics.

Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data

Lionel Tarassenko, Bartlomiej W. Papiez, Declan Grant, 2021, MIUA.

A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting

Lionel Tarassenko, Marco A. F. Pimentel, Mauro D. Santos, 2021, Frontiers in Digital Health.

A pilot study: dose adaptation of capecitabine using mobile phone toxicity monitoring — supporting patients in their homes

Lionel Tarassenko, Andrew Weaver, Oliver Gibson, 2014, Supportive Care in Cancer.

Track and trigger in an emergency department: an observational evaluation study

Lionel Tarassenko, David Clifton, Susannah Fleming, 2012, Emergency Medicine Journal.

System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies

Carmelo Velardo, Lionel Tarassenko, Lionel Tarassenko, 2020, JMIR formative research.

The Influence of Recording Equipment on the Accuracy of Respiratory Rate Estimation from the Electrocardiogram and Photoplethysmogram

David A. Clifton, Jordi Alastruey, Lionel Tarassenko, 2014 .

Using A Mobile Health Application To Support Self-Management In COPD - Development Of Alert Thresholds Derived From Variability In Self-Reported And Measured Clinical Variables

Carmelo Velardo, Lionel Tarassenko, Veronika Williams, 2014 .

Novelty detection with multivariate Extreme Value Theory, part II: An analytical approach to unimodal estimation

Lionel Tarassenko, Samuel Hugueny, L. Tarassenko, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Stepwise Self-Titration of Oral Glucose-Lowering Medication Using a Mobile Telephone-Based Telehealth Platform in Type 2 Diabetes: A Feasibility Trial in Primary Care

Lionel Tarassenko, Oliver Gibson, Elizabeth Murray, 2013, Journal of diabetes science and technology.

Towards a data fusion model for predicting deterioration in dialysis patients

Lionel Tarassenko, Susannah Fleming, David A Clifton, 2010, 2010 Computing in Cardiology.

GIMI: the past, the present and the future

Michael Brady, Lionel Tarassenko, Douglas Russell, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Experiences implementing a system for widespread recording of patient physiology

Lionel Tarassenko, Peter J. Watkinson, Richard Beale, 2015 .

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

Lionel Tarassenko, Oliver Gibson, Lucy Mackillop, 2014, Journal of diabetes science and technology.

Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial

Karim Ladha, Richard Baskerville, Ruth Osborne, 2018, The Lancet.

Artificial intelligence in health care: enabling informed care

Lionel Tarassenko, Peter Watkinson, L. Tarassenko, 2018, The Lancet.

Chemotherapy side-effect management using mobile phones

Lionel Tarassenko, Andrew Weaver, Oliver J. Gibson, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text-message Adherence suppoRt trial) randomised controlled trial

Lionel Tarassenko, Kirsty Bobrow, David B. Springer, 2014, BMC Public Health.

Non-invasive stroke volume estimation by transthoracic electrical bioimpedance versus Doppler echocardiography in healthy volunteers

Duncan Young, Lionel Tarassenko, Mauricio Villarroel, 2019, Journal of medical engineering & technology.

Contact lens oximetry: a valid concept?

A. R. Hill, Lionel Tarassenko, C. J. Glynn, 1996 .

Analysis and simulation of a cascaded delta delta-sigma modulator

Steve Collins, Lionel Tarassenko, D. Joseph, 1999 .

Retinal pulse oximetry: towards a method for measuring cerebral oxygen saturation

A. R. Hill, Lionel Tarassenko, C. J. Glynn, 1995, Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society.

Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control

Lionel Tarassenko, David B. Springer, David Springer, 2018, BMC Health Services Research.

BIOSIGN™ : multi-parameter monitoring for early warning of patient deterioration

Lionel Tarassenko, E. Braithwaite, L. Tarassenko, 2005 .

Condition monitoring of manufacturing processes

David A. Clifton, Lionel Tarassenko, 2008 .

SPECIFIC AND GENERIC MODELLING FOR JET ENGINE NOVELTY DETECTION

David A. Clifton, Lionel Tarassenko, L. Tarassenko, 2007 .

Telemedicine-supported insulin optimisation in primary care

Lionel Tarassenko, L. Tarassenko, A. Farmer, 2010, Journal of telemedicine and telecare.

Extending the Grid to Support Remote Medical Monitoring

Tom Rodden, Mark Sumner, Matthew Chalmers, 2003 .

Clinical applications of artificial neural networks: Neural network analysis of sleep disorders

Lionel Tarassenko, James Pardey, Mayela Zamora, 2001 .

Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial

Lionel Tarassenko, David B. Springer, Ly-Mee Yu, 2016, Circulation.

Self-Management of Postnatal Hypertension: The SNAP-HT Trial

Carmelo Velardo, Lionel Tarassenko, Alexandra E. Cairns, 2018, Hypertension.

SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India

Gari D Clifford, Lionel Tarassenko, Stephen MacMahon, 2014, JMIR mHealth and uHealth.

David A. Clifton, Lionel Tarassenko, Simukai W. Utete, 2007 .

Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: protocol for the EDGE-COPD randomised controlled trial

Lionel Tarassenko, Veronika Williams, Heather Rutter, 2014, BMJ Open.

Cognitive Systems - Information Processing Meets Brain Science

Lionel Tarassenko, Michael G Kenward, R. G. M. Morris, 2005 .

Continuous monitoring during haemodialysis

Lionel Tarassenko, David James Meredith, Christopher W. Pugh, 2014 .

Monitoring Jet Engines and the Health of People

Lionel Tarassenko, Eric J. Topol, L. Tarassenko, 2018, JAMA.

‘Errors’ and omissions in paper-based early warning scores: the association with changes in vital signs—a database analysis

Lionel Tarassenko, Lei A. Clifton, Peter J Watkinson, 2015, BMJ Open.

Clinical Implications of the NICE 2015 Criteria for Gestational Diabetes Mellitus

Carmelo Velardo, Lionel Tarassenko, L. Tarassenko, 2018, Journal of clinical medicine.

Using a mobile health application to support self-management in COPD: a qualitative study.

Lionel Tarassenko, Veronika Williams, Maxine Hardinge, 2014, The British journal of general practice : the journal of the Royal College of General Practitioners.

Current and emerging approaches to address failure-to-rescue.

Lionel Tarassenko, Peter J Watkinson, L. Tarassenko, 2012, Anesthesiology.

Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department

David A. Clifton, Lionel Tarassenko, David Wong, 2016, European journal of emergency medicine : official journal of the European Society for Emergency Medicine.

A user-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study.

Carmelo Velardo, Lionel Tarassenko, Andreas Triantafyllidis, 2015, European heart journal. Quality of care & clinical outcomes.