Title | ||
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The Information Fusion of Blood Pressure Measurement System Based on Synergetic Theory |
Abstract | ||
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Information fusion technology is applied to blood pressure measurement in this paper. By this means, the dynamic blood pressure can be tested, which is based on pulse transit time. Human ECG, pulse, body temperature and blood pressure information are the subjects investigated, and then the research of the blood pressure measurement is done with synergetic theory applied to information fusion. The experimental results show that this method can reduce measurement errors caused by all kinds of factors involved in blood pressure, have achieved the initial target of blood pressure judgment, and provide effective evidences for the correct disease diagnosis and immediate treatment. |
Year | DOI | Venue |
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2009 | 10.1109/BMEI.2009.5305204 | BMEI |
Keywords | Field | DocType |
electrocardiography,blood pressure measurement,information fusion,biology computing,disease diagnosis,human ecg,pulse transit time,synergetic theory,patient treatment,blood pressure,body temperature,prototypes,temperature measurement,mathematical model,measurement error,pressure measurement | Biomedical engineering,Computer science,Pulse Transit Time,Pressure measurement,Pulse (signal processing),Artificial intelligence,Blood pressure,Surgery,Pattern recognition,Information fusion,Temperature measurement,Observational error,Patient treatment | Conference |
ISSN | ISBN | Citations |
1948-2914 | 978-1-4244-4134-1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yinjing Guo | 1 | 8 | 5.19 |
Zhixin Cheng | 2 | 0 | 0.68 |
Geng Chen | 3 | 73 | 16.95 |
Qian Cao | 4 | 0 | 0.34 |
Hui Meng | 5 | 0 | 0.34 |