DocumentCode
443313
Title
BIOSIGN™ : multi-parameter monitoring for early warning of patient deterioration
Author
Tarassenko, L. ; Hann, A. ; Patterson, A. ; Braithwaite, E. ; Davidson, K. ; Barber, V. ; Young, D.
Author_Institution
Signal Process. & Neural Networks Group, Oxford Univ., UK
fYear
2005
fDate
3-4 Nov. 2005
Firstpage
71
Lastpage
76
Abstract
Early recognition of abnormalities in the physiological parameters of hospital patients followed by rapid intervention should result in an improvement in functional outcome or mortality rate. We have developed a real-time system, BioSign™, capable of analysing physiological parameters in order to identify adverse trends in multi-parameter space (departure from "normality") and prompt clinical staff to intervene. The model of normality is based on five vital signs, which can all be recorded non-invasively: the heart rate, blood pressure, arterial oxygen saturation, respiration rate and temperature. We have evaluated the trained model of normality in a two-year randomised controlled trial of 405 patients monitored on general medical and surgical wards. Preliminary results show that BioSign™ can provide early warning of changes in clinical status and deterioration in patient condition.
Keywords
blood pressure measurement; blood vessels; cardiology; medical signal processing; patient monitoring; pneumodynamics; sensor fusion; BIOSIGN™; abnormality recognition; arterial oxygen saturation; blood pressure; catastrophic system; data fusion; heart rate; hospital patient; mortality rate; multiparameter monitoring; normality model; patient deterioration; patient monitoring; physiological parameter; respiration rate;
fLanguage
English
Publisher
iet
Conference_Titel
Medical Applications of Signal Processing, 2005. The 3rd IEE International Seminar on (Ref. No. 2005-1119)
Conference_Location
IET
Print_ISBN
0-86341-570-9
Type
conf
Filename
1543119
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