Title :
Evaluation of pulse features for oscillometry
Author :
Colak, S. ; Isik, C.
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Syracuse Univ., NY, USA
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;
Conference_Titel :
Bioengineering Conference, 2004. Proceedings of the IEEE 30th Annual Northeast
Print_ISBN :
0-7803-8285-4
DOI :
10.1109/NEBC.2004.1300009
