Acta chirurgiae orthopaedicae
et traumatologiae Čechoslovaca

Acta Chir Orthop Traumatol Cech. 2023; 90(5):340-346 | DOI: 10.55095/achot2023/041

Novel Method for Detecting the Stage of Arthrosis and Femoroacetabular Impingement Using a Gyroscopic Sensor and Neural NetworksOriginal papers

P. HOLEKA¹, F. STUDNIČKA³, J. ŠTĚPÁN³, J. MATYSKA⁴, J. ŠLÉGR³, J. PÁRAL^{1, 2}, K. ŠMEJKAL^{1, 2}, P. LOCHMAN¹

¹ University of Defence, Faculty of Military Health Sciences, Department of Military Surgery, Hradec Králové, Czech Republic

² University Hospital and Charles University, Faculty of Medicine, Department of Surgery, Hradec Králové, Czech Republic

³ University of Hradec Králové, Faculty of Science, Department of Physics, Hradec Králové, Czech Republic

⁴ University of Hradec Králové, Faculty of Science, Centre of Advanced Technology, Hradec Králové, Czech Republic

Purpose of the study

Femoroacetabular impingement syndrome is a complex, often post-traumatically developing impairment of the hip joint, characterized by ambiguous symptomatology, which makes early diagnosis difficult, especially in the early stages.

Experimental retrospective study was carried out to evaluate the usability of a triaxial gyroscopic sensor in routine practice as an additional indication criterion for operative versus conservative treatment procedures.

MATERIAL AND METHODS: 92 patients were included in the retrospective study, and 62 completed the investigation. All patients signed informed consent. A gyroscopic sensor was placed on the right side of the pelvis above the hip joint, and the patients walked approximately 15 steps. Furthermore, an evaluation of the data during stair climbing and a complete clinical examination of the dynamics and physiological movements in the joint was carried out.

Data measured with a gyroscopic sensor were processed using differential geometry methods and then evaluated using spectral analysis and neural networks. The proposed technique of diagnosing FAI using gyroscope measurement is a fast, easy-to-perform method.

RESULTS: Our approach in processing gyroscopic signals used to detect the stage of arthrosis and post-traumatically developing FAI could lead to more accurate early detection and capture in the early stages.

CONCLUSIONS: The obtained data are easily evaluated, interpretable and beneficial in diagnosing the early stages of FAI. The results of the conducted research showed this approach to more accurate early detection of arthrosis and post-traumatically developing FAI.

Keywords: wearable sensors; osteoarthritis; mathematical biophysics; telemedicine.

Published: November 11, 2023  Show citation