Novel Method for Detecting the Stage of Arthrosis and Femoroacetabular Impingement Using a Gyroscopic Sensor and Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00179906%3A_____%2F23%3A10471545" target="_blank" >RIV/00179906:_____/23:10471545 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G44__/24:00560719 RIV/00216208:11150/23:10471545
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=HF_4xecoRH" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=HF_4xecoRH</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.55095/achot2023/041" target="_blank" >10.55095/achot2023/041</a>
Alternative languages
Result language
angličtina
Original language name
Novel Method for Detecting the Stage of Arthrosis and Femoroacetabular Impingement Using a Gyroscopic Sensor and Neural Networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30212 - Surgery
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta Chirurgiae Orthopaedicae et Traumatologiae Čechoslovaca
ISSN
0001-5415
e-ISSN
2570-981X
Volume of the periodical
90
Issue of the periodical within the volume
5
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
7
Pages from-to
340-346
UT code for WoS article
001113651800006
EID of the result in the Scopus database
2-s2.0-85175275505