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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pinheiro, Eduardo C. |
| Copyright Year | 2008 |
| Description | Author affiliation: Setúbal's Superior School of Technology, Campus do Instituto Politécnico de Setúbal Estefanilha, 2650-761 Portugal (Pinheiro, Eduardo C.) |
| Abstract | Oscillometric blood pressure monitors are fairly reliable medical equipments, inexpensive and widely used both in domicile and clinical measurements of blood pressure, however they have not yet been subject of deep investigation. The research reported in this paper presents some a priori knowledge to build a model of an oscillometric blood pressure monitor and the results of the system identification, in order to help in the search for improvements in these devices' measurement accuracy. From several studies it is known that the cuff expansion, the compressible fluid flow and the electromechanical components of the system originate nonlinearities in the system dynamics. During the identification procedures it was seen that a multiple model approach was required in order to obtain a reliable representation in all the pressure range. The study of numerous parametric linear models and interpolation functions allowed the reduction of prediction errors, resulting in a final model with good quality results but with room to improvements in the transient response. |
| Starting Page | 319 |
| Ending Page | 322 |
| File Size | 265580 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424418145 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2008.4649154 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Nonlinear systems Biomedical transducers Identification Modeling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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