Name
Abstract | ||
|---|---|---|
A method for preprocessing a time series of glucose measurements based on Kalman smoothing is presented. Given a glucose data time series that may be irregularly sampled, the method outputs an interpolated time series of glucose estimates with mean and variance. The method can provide homogenization of glucose data collected from different devices by using separate measurement noise parameters for... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2018.2811706 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Sugar,Kalman filters,Biomedical measurement,Smoothing methods,Noise measurement,Blood,Time measurement | Signal processing,Data processing,Pattern recognition,Noise measurement,Computer science,Interpolation,Kalman filter,Smoothing,Preprocessor,Artificial intelligence,Glucose Measurement | Journal |
Volume | Issue | ISSN |
23 | 1 | 2168-2194 |
Citations | PageRank | References |
1 | 0.39 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Odd Martin Staal | 1 | 1 | 0.39 |
| S Saelid | 2 | 1 | 0.72 |
| Anders Fougner | 3 | 1 | 1.06 |
| Øyvind Stavdahl | 4 | 125 | 15.09 |