Name
Title | ||
|---|---|---|
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm. |
Abstract | ||
|---|---|---|
•Hypoglycemia induces significant changes in EEG properties.•EEG features based on Higuchi’s fractal dimension are sensitive to hypoglycemia.•The proposed nonlinear indicators are computationally efficient.•Fractal analysis indicators might be suited for real-time applications. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.bspc.2017.06.004 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Type 1 diabetes,Hypoglycemia,EEG,Signal complexity,Higuchi fractal dimension,Nonlinear time-series analysis | Fractal analysis,Sample entropy,Pattern recognition,Fractal dimension,Artificial intelligence,Nonlinear time series analysis,Hypoglycemia,Electroencephalography,Mathematics | Journal |
Volume | ISSN | Citations |
38 | 1746-8094 | 1 |
PageRank | References | Authors |
0.36 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Scarpa | 1 | 37 | 3.43 |
| M. Rubega | 2 | 3 | 3.47 |
| Mattia Zanon | 3 | 11 | 1.99 |
| Francesca Finotello | 4 | 14 | 3.41 |
| Anne-Sophie Sejling | 5 | 1 | 0.69 |
| Giovanni Sparacino | 6 | 276 | 52.52 |