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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.
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