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Biomedical Signal Processing and e-health
There are two main emphases in the group at present: real-time monitoring of patients in hospital in order to provide early warning of deterioration and the use of mobile-phone based telehealth to improve the management long-term conditions such as diabetes, asthma, COPD or hypertension. The group has a substantial amount of funding from EPSRC, MRC, the Department of Health, the Wellcome Trust and the Oxford Biomedical Research Centre to support its research, most of which is carried out in partnership with clinical Departments in Oxford.
Within the hospital, acutely ill patients routinely have their vital signs continuously recorded by a multi-parameter patient monitor. Statistical techniques are used to learn a description of normality in multi-parameter space and abnormalities are subsequently identified by testing for novelty against this description. This then triggers an escalation of care when the patient begins to deteriorate. The vital sign data fusion technology developed in partnership with spin-out company OBS Medical has delivered improvements in patient outcomes, validated during clinical trials in both the US and the UK.
The real-time analysis of patient data is enabling personalised healthcare for people with long-term conditions such as diabetes. Mobile technology and new methods of communicating information are playing an important role in the management of these conditions. Supported by a clinical team which has access to all the patient data automatically prioritised for review, patients gradually learn how to adjust their lifestyle using an every-day tool for monitoring and real-time feedback, the mobile phone.