User profiles for Lionel Tarassenko

Lionel Tarassenko

Professor of Electrical Engineering, University of Oxford
Verified email at eng.ox.ac.uk
Cited by 29083

Non-contact video-based vital sign monitoring using ambient light and auto-regressive models

L Tarassenko, M Villarroel, A Guazzi… - Physiological …, 2014 - iopscience.iop.org
Remote sensing of the reflectance photoplethysmogram using a video camera typically
positioned 1 m away from the patient's face is a promising method for monitoring the vital signs of …

[HTML][HTML] Early risk assessment for COVID-19 patients from emergency department data using machine learning

…, J Eaton, R Liddi, L Mackillop, L Tarassenko… - Scientific reports, 2021 - nature.com
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
has caused a pandemic with more than 55 million reported cases and 1.3 million …

A review of novelty detection

MAF Pimentel, DA Clifton, L Clifton, L Tarassenko - Signal processing, 2014 - Elsevier
Novelty detection is the task of classifying test data that differ in some respect from the data
that are available during training. This may be seen as “one-class classification”, in which a …

A review of parametric modelling techniques for EEG analysis

J Pardey, S Roberts, L Tarassenko - Medical engineering & physics, 1996 - Elsevier
This review provides an introduction to the use of parametric modelling techniques for time
series analysis, and in particular the application of autoregressive modelling to the analysis …

Novelty detection for the identification of masses in mammograms

L Tarassenko, P Hayton, N Cerneaz, M Brady - 1995 - IET
Breast cancer is the major cause of death amongst women in the 35 to 55 age group.
Mammography is the only feasible imaging modality for screening large numbers of women. With …

Centile-based early warning scores derived from statistical distributions of vital signs

L Tarassenko, DA Clifton, MR Pinsky, MT Hravnak… - Resuscitation, 2011 - Elsevier
AIM OF STUDY: To develop an early warning score (EWS) system based on the statistical
properties of the vital signs in at-risk hospitalised patients. MATERIALS AND METHODS: A …

A dynamical model for generating synthetic electrocardiogram signals

…, GD Clifford, L Tarassenko… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
A dynamical model based on three coupled ordinary differential equations is introduced which
is capable of generating realistic synthetic electrocardiogram (ECG) signals. The operator …

Normal ranges of heart rate and respiratory rate in children from birth to 18 years of age: a systematic review of observational studies

…, A Plüddemann, I Maconochie, L Tarassenko… - The Lancet, 2011 - thelancet.com
Background Although heart rate and respiratory rate in children are measured routinely in
acute settings, current reference ranges are not based on evidence. We aimed to derive new …

Logistic regression-HSMM-based heart sound segmentation

DB Springer, L Tarassenko… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
The identification of the exact positions of the first and second heart sounds within a
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis …

[BOOK][B] Guide to neural computing applications

L Tarassenko - 1998 - books.google.com
Neural networks have shown enormous potential for commercial exploitation over the last
few years but it is easy to overestimate their capabilities. A few simple algorithms will learn …