| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6891154 | Computer Methods and Programs in Biomedicine | 2018 | 8 Pages |
Abstract
The results of this study confirm the high usefulness of quantitative analysis of VAG signals based on classification techniques into normal and pathological knees and as a promising tool in classifying signals of various knee joint disorders and their stages.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Krzysztof KrÄcisz, Dawid BÄ
czkowicz,