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Lionel Tarassenko

Researcher at University of Oxford

Publications -  419
Citations -  19351

Lionel Tarassenko is an academic researcher from University of Oxford. The author has contributed to research in topics: Artificial neural network & Vital signs. The author has an hindex of 67, co-authored 395 publications receiving 16265 citations. Previous affiliations of Lionel Tarassenko include National Institutes of Health & National Institute for Health Research.

Papers
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Journal ArticleDOI

Application of independent component analysis in removing artefacts from the electrocardiogram

Taigang He, +2 more
- 01 Apr 2006 - 
TL;DR: An ICA algorithm is tested on three-channel ECG recordings taken from human subjects, mostly in the coronary care unit, and results are presented that show that ICA can detect and remove a variety of noise and artefact sources in these ECGs.
Journal ArticleDOI

A probabilistic resource allocating network for novelty detection

Stephen J. Roberts, +1 more
- 01 Mar 1994 - 
TL;DR: A robust method for novelty detection is developed, which aims to minimize the number of heuristically chosen thresholds in the novelty decision process by growing a gaussian mixture model to form a representation of a training set of normal system states.
Patent

Combining measurements from different sensors

Lionel Tarassenko, +2 more
TL;DR: In this paper, a model of the process generating the physiological parameter, e.g. the heart rate, is constructed and is run independently for each channel to generate predictions of the parameter.
Journal ArticleDOI

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

Peter Charlton, +9 more
- 01 Jan 2018 - 
TL;DR: A review of the literature on BR estimation from the ECG and PPG signals is presented, and the most pressing directions for future research are outlined, including the steps required to use BR algorithms in wearable sensors, remote video monitoring, and clinical practice.
Journal ArticleDOI

Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial

Dermot Ryan, +9 more
- 23 Mar 2012 - 
TL;DR: Mobile technology does not improve asthma control or increase self efficacy compared with paper based monitoring when both groups received clinical care to guidelines standards and the mobile technology was not cost effective.