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| Content Provider | Springer Nature Link |
|---|---|
| Author | Sparaci, G. Vicini, P. Bonadonna, R. Marraccini, P. Lehtovirta, M. Ferrannini, E. Cobelli, C. |
| Copyright Year | 1997 |
| Abstract | The study of blood-tissue exchange by the multiple indicator dilution technique often needs frequent sampling in the blood of the indicator dilution curves (IDC). Usually, this requires the use of a catheter supported by a pump. This causes a distortion in the IDC, which must be removed for proper interpretation of the data. A deconvolution-based methodology to remove IDC distortion is presented. First, the catheter impulse response is modelled by means of data obtained from a suitable experiment. Then the reconstruction of the blood IDC is tackled by a new nonparametric deconvolution algorithm, which provides (quasi) time-continuous signals and exploits statistically based criteria for the choice of the regularisation parameter. The methodology is applied to the removal of cathether distortion in studies of glucose blood-tissue exchange in the human forearm and myocardium. |
| Starting Page | 337 |
| Ending Page | 342 |
| Page Count | 6 |
| File Format | |
| ISSN | 01400118 |
| Journal | Medical and Biological Engineering and Computing |
| Volume Number | 35 |
| Issue Number | 4 |
| e-ISSN | 17410444 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 1997-01-01 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Input estimation Regularisation Tracer kinetics Human Physiology Neurosciences Imaging Radiology Computer Applications Biomedical Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering Computer Science Applications |
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