DocumentCode :
1446545
Title :
Pressure-detection algorithms
Author :
Perfetto, J.C. ; Ruiz, A.G., Jr. ; Sirne, R.O. ; Attellis, C. E D
Author_Institution :
Inst. de Ing. Biomedica (IIBM), Univ. de Buenos Aires, Buenos Aires, Argentina
Volume :
28
Issue :
5
fYear :
2009
Firstpage :
35
Lastpage :
40
Abstract :
Our approach is based on identifying specific characteristics of the arterial blood pressure (ABP) signal. During the development of the algorithm, we examined the signals and tried to extract the features that signals always share with other signals of the same type. These features permit acceptance of a portion of the signal as being part of arterial pressure or reject it as being an artifact. The algorithm first detects the occurrence of the systolic point and, thereafter, the diastolic point. The method we present here is designed to be used in adaptation mechanisms of the cardiovascular system assessment.
Keywords :
blood pressure measurement; blood vessels; cardiovascular system; feature extraction; medical signal processing; adaptation mechanism; arterial blood pressure signal; cardiovascular system assessment; diastolic point; feature extraction; pressure-detection algorithm; systolic point; Cardiovascular system; Detection algorithms; Electrocardiography; Electroencephalography; Epilepsy; Multiresolution analysis; Pathology; Signal processing; Signal resolution; System testing; Adult; Age Factors; Aged; Algorithms; Blood Pressure; Blood Pressure Determination; Female; Humans; Male; Manometry; Middle Aged; Pulse; Signal Processing, Computer-Assisted; Tilt-Table Test;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/MEMB.2009.934246
Filename :
5254907
Link To Document :
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