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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30212 - Surgery

Result continuities

  • Project

  • 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