Affiliation: University of Oxford
- Integrated monitoring and analysis for early warning of patient deteriorationL Tarassenko
Department of Engineering Science, Parks Road, University of Oxford, Oxford OX1 3PJ, UK
Br J Anaesth 97:64-8. 2006..Retrospective analysis has also shown that the data fusion algorithm in BioSign is capable of detecting critical events in advance of single-channel alerts...
- Centile-based early warning scores derived from statistical distributions of vital signsLionel Tarassenko
Institute of Biomedical Engineering, Old Road Campus Research Building Off Roosevelt Drive, University of Oxford, Oxford OX3 7DQ, UK
Resuscitation 82:1013-8. 2011..To develop an early warning score (EWS) system based on the statistical properties of the vital signs in at-risk hospitalised patients...
- Synchronization between arterial blood pressure and cerebral oxyhaemoglobin concentration investigated by wavelet cross-correlationA B Rowley
Department of Engineering Science, University of Oxford, Oxford, UK
Physiol Meas 28:161-73. 2007....
- A systematic review of telemedicine interventions to support blood glucose self-monitoring in diabetesA Farmer
Division of Public Health and Primary Health Care, University of Oxford, Oxford, UK
Diabet Med 22:1372-8. 2005..To evaluate evidence for feasibility, acceptability and cost-effectiveness of diabetes telemedicine applications...
- Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordingsP E McSharry
Department of Engineering Science, University of Oxford, UK
Med Biol Eng Comput 40:447-61. 2002..Although MDPE produced fewer false positives, there is no firm evidence to suggest that MDPE, or any other non-linear statistic considered, outperforms variance-based methods at identifying seizures...
- Tracking poles with an autoregressive model: a confidence index for the analysis of the intrapartum cardiotocogramS Cazares
Signal Processing and Neural Networks, Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK
Med Eng Phys 23:603-14. 2001..The 10th-order model can therefore be used as a confidence index to reduce the errors made in the identification of uterine contractions in the UA trace and in the subsequent analysis of the cardiotocogram as a whole...
- Analysis of dynamic MR breast images using a model of contrast enhancementP Hayton
Robotics Research Group, Department of Engineering, University of Oxford, UK
Med Image Anal 1:207-24. 1997..In particular, we illustrate the approach with an image that shows a carcinoma, whose appearance and localization are greatly improved by the registration algorithm...
- A new approach to the analysis of the human sleep/wakefulness continuumJ Pardey
University of Oxford, Medical Engineering Unit, UK
J Sleep Res 5:201-10. 1996..Both these phenomena are of considerable clinical value, but neither are scored satisfactorily using rule-based sleep staging...
- Combined transfer function analysis and modelling of cerebral autoregulationS J Payne
Department of Engineering Science, University of Oxford, Parks Road, OX1 3PJ, Oxford, UK
Ann Biomed Eng 34:847-58. 2006..A transfer function approach can be used to estimate autoregulation status clinically using a physiologically-based model, thus providing greater insight into the processes that govern cerebral autoregulation...
- On-chip learning with analogue VLSI neural networksL Tarassenko
Department of Engineering Science, University of Oxford, United Kingdom
Int J Neural Syst 4:419-26. 1993....
- Segmenting cardiac-related data using sleep stages increases separation between normal subjects and apnoeic patientsG D Clifford
Harvard MIT Division of Health Sciences, Cambridge, MA 02142, USA
Physiol Meas 25:N27-35. 2004..Separation of patients according to condition is shown to be more pronounced when using the LSP than the FFT. Furthermore, separation is found to be most marked in slow wave sleep...
- Mobile phone technology in the management of asthmaD Ryan
Department of General Practice and Primary Care, University of Aberdeen, UK
J Telemed Telecare 11:43-6. 2005....
- A randomised controlled trial of the effect of continuous electronic physiological monitoring on the adverse event rate in high risk medical and surgical patientsP J Watkinson
Intensive Care Society Clinical Trials Group, John Radcliffe Hospital, Oxford, UK
Anaesthesia 61:1031-9. 2006..We conclude that mandated electronic vital signs monitoring in high risk medical and surgical patients has no effect on adverse events or mortality...
- Application of mobile phone technology for managing chemotherapy-associated side-effectsA Weaver
Oxford Radcliffe Hospitals NHS Trust, Oxford, UK
Ann Oncol 18:1887-92. 2007..We report a feasibility study to examine the utility of home monitoring of patients' symptoms via a mobile phone...