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
Link To Document :
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