A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints
Materiały konferencyjne
MNiSW
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| Status: | |
| Autorzy: | Jonak Józef, Karpiński Robert, Machrowska Anna, Krakowski Przemysław, Maciejewski Marcin |
| Dyscypliny: | |
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| Rok wydania: | 2019 |
| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 1 |
| Wolumen/Tom: | 710 |
| Numer artykułu: | 012037 |
| Strony: | 1 - 9 |
| Web of Science® Times Cited: | 2 |
| Scopus® Cytowania: | 6 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | IV International Conference of Computational Methods in Engineering Science - CMES'19 |
| Skrócona nazwa konferencji: | CMES'19 |
| Termin konferencji: | 21 listopada 2019 do 23 listopada 2019 |
| Miasto konferencji: | Kazimierz Dolny |
| Państwo konferencji: | POLSKA |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 19 grudnia 2019 |
| Abstrakty: | angielski |
| Degenerative changes,according to world literature,are one of the keyreasons for disability, especially in the elderly population. Diagnosis and monitoring of the disease consist mainly inclinical examination, bedside interviewsand imaging. However, during the healing process,there is currently no tool for fast, cheap, easily available and diagnostics that would be free from ionising radiation andthat would enableevaluation of the course of the disease. Therefore, the scientific community is searchingfor new diagnostic methods, with the potential for wide application in medicine. Registration and analysis of knee joint vibration signals presentsa chance for more accurate and faster diagnostics. The method is capable of detectingdamage at an early stage, while specifyingthe selection of optimal treatment methods. Therefore, it seems crucial to develop methods of analysis appropriate for the nature of tested signals. The quality of low-frequency natural waveforms can be improved by filtration in selected bands, eliminating existing artefacts. This paperpresents an application oftheEEMD-RQA algorithm in the detection of degenerative changes in knee joints. Pre-processingin the form of filtration gives the opportunity to pre-test the usefulness of the algorithm RQA in the ability to create/subsequent development of indicators describing the condition of the joint surfaces examined without the need forsurgical intervention. |
