Name
Abstract | ||
|---|---|---|
Fatigue is one of the most distressing symptoms of Multiple Sclerosis, impairing quality of life, work performance and social interactions. Moreover, it is difficult to objectively assess, and is often evaluated via subjective questionnaire; however, objective metrics are highly desirable. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2019.101696 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Analysis of medical signals,Automatic signal classification,Multiple sclerosis | Signal processing,Data processing,Quality of life,Pattern recognition,Multiple sclerosis,Gait analysis,Evoked potential,Artificial intelligence,Physical medicine and rehabilitation,Mathematics | Journal |
Volume | ISSN | Citations |
56 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriella Olmo | 1 | 0 | 0.34 |
| Francesca Farolfi | 2 | 0 | 0.34 |
| Federica Miola | 3 | 0 | 0.34 |
| Stefano Giorgi | 4 | 0 | 0.34 |
| Alessia Di Sapio | 5 | 0 | 0.34 |
| Antonio Bertolotto | 6 | 6 | 1.36 |