DocumentCode
3005987
Title
Evaluation of pulse features for oscillometry
Author
Colak, S. ; Isik, C.
Author_Institution
Electr. Eng. & Comput. Sci. Dept., Syracuse Univ., NY, USA
fYear
2004
fDate
17-18 April 2004
Firstpage
93
Lastpage
94
Abstract
Blood pressure measurement using oscillometry depends solely on the pressure data. In our work, we evaluate features, which are extracted from the oscillometry waveforms. Feature strength and behavior is evaluated by computing standard deviation of errors. Blood pressure is estimated using maximum amplitude pressure algorithm. A large non-invasively collected database is used for this purpose.
Keywords
blood pressure measurement; feature extraction; medical signal processing; blood pressure measurement; feature extraction; large noninvasively collected database; maximum amplitude pressure algorithm; oscillometry; pulse features evaluation; Blood pressure; Computer science; Curve fitting; Data engineering; Data mining; Educational institutions; Electric variables measurement; Feature extraction; Low pass filters; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, 2004. Proceedings of the IEEE 30th Annual Northeast
Print_ISBN
0-7803-8285-4
Type
conf
DOI
10.1109/NEBC.2004.1300009
Filename
1300009
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