Post-Prandial Plasma Glucose Prediction in Type I Diabetes Based on Impulse Response Models
(2010) Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010 1. p.1324-1327- Abstract
- In this paper the impact of different meals and rapid insulin were estimated as Finite Impulse Response Models from a data set of 18 patients. Based on these models short-term individualized predictors were tested for 20 and 60 minute prediction. The predictors were evaluated using Clarke Grid Analysis and had on average more than 94 % and 75 % in the A zone and less than 1 % and 3 % in the errorous C/D/E zones, which in comparison to other published results is competitive.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1774627
- author
- Ståhl, Fredrik LU ; Johansson, Rolf LU and Renard, Eric
- organization
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
- volume
- 1
- pages
- 1324 - 1327
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010
- conference location
- Buenos Aires, Argentina
- conference dates
- 2010-08-31 - 2010-09-04
- external identifiers
-
- wos:000287964001180
- scopus:78650833215
- pmid:21095929
- ISSN
- 1557-170X
- ISBN
- 978-1-4244-4123-5
- DOI
- 10.1109/IEMBS.2010.5626386
- language
- English
- LU publication?
- yes
- id
- 1c8b00b2-5062-4ba0-9612-2314f7833046 (old id 1774627)
- date added to LUP
- 2016-04-01 13:08:00
- date last changed
- 2024-04-10 00:55:02
@inproceedings{1c8b00b2-5062-4ba0-9612-2314f7833046, abstract = {{In this paper the impact of different meals and rapid insulin were estimated as Finite Impulse Response Models from a data set of 18 patients. Based on these models short-term individualized predictors were tested for 20 and 60 minute prediction. The predictors were evaluated using Clarke Grid Analysis and had on average more than 94 % and 75 % in the A zone and less than 1 % and 3 % in the errorous C/D/E zones, which in comparison to other published results is competitive.}}, author = {{Ståhl, Fredrik and Johansson, Rolf and Renard, Eric}}, booktitle = {{Annual International Conference of the IEEE Engineering in Medicine and Biology Society.}}, isbn = {{978-1-4244-4123-5}}, issn = {{1557-170X}}, language = {{eng}}, pages = {{1324--1327}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Post-Prandial Plasma Glucose Prediction in Type I Diabetes Based on Impulse Response Models}}, url = {{http://dx.doi.org/10.1109/IEMBS.2010.5626386}}, doi = {{10.1109/IEMBS.2010.5626386}}, volume = {{1}}, year = {{2010}}, }