| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6898915 | Informatics in Medicine Unlocked | 2018 | 5 Pages |
Abstract
SSA is a promising tool for HBPM data processing. It ensures smooth and readable trends as well as shows the long-term variability of series. This information can be usable for clinical decision-making and prognostics.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
G.P. Chuiko, O.V. Dvornik, I.A. Shyian, Ye.A. Baganov,