Scientia et Securitas
Volume/Issue:
Volume 3: Issue 3
A hon- és rendvédelmi szervek személyi állományának mozgásszervi állapotfelmérése, sérülés megelőzése és sérülés utáni rehabilitációjának lehetősége a mesterséges intelligencia felhasználásával
Author:
Ádám Uhlár Magyar Testnevelési és Sporttudományi Egyetem, Sport- és Egészségtudományi Intézet, Sportélettani Kutató Központ Budapest Magyarország; Hungarian University of Sports Science, Institute for Sports and Health Sciences, Research Center for Sports Physiology Budapest Hungary

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https://orcid.org/0000-0002-7337-8296
Pages:
166–175
Online Publication Date:
08 Mar 2023
Publication Date:
06 Apr 2023
Article Category:
Research Article
DOI:
https://doi.org/10.1556/112.2022.00106
Keywords:
movement analysis in army; physical fitness and combat effectiveness; artificial intelligence; injury prevention; injury rehabilitation;
Keywords (Hungarian):
katonai mozgásminta-elemzés; fizikai állapot és hadrafoghatóság; mesterséges intelligencia; sérülésmegelőzés; mozgásszervi prevenció;
Open access

Összefoglalás.

A fizikai képességek magas színvonala nélkülözhetetlen a hon- és rendvédelmi szervek személyi állományának tagjai számára. A hadrafoghatóság, bevethetőség alapvető feltétele a fizikai, mozgásszervi egészség és edzettség megléte. Az állomány felmérésére jelenleg alkalmazott fizikai tesztelési eljárások a sérülések megelőzésére, a teljesítmény optimalizálására kevésbé alkalmasak, pedig a hosszú távon fenntartható magas szintű teljesítmény a szervezeti hatékonyság és a produktivitás kulcseleme. A hon- és rendvédelmi területen dolgozó szakemberek kiképzési, oktatási költsége jelentős anyagi ráfordítás mellett valósítható meg, így a sérüléseik megelőzése, fizikai alkalmasságuk fenntartása igen fontos feladat. Külföldi példák alapján a biomechanikailag helytelen mozgások kiszűrése hozzájárul a sérülések megelőzéséhez.

Summary.

High level of physical fitness is an essential requirement towards the members of armed forces, firefighters, law enforcement services and other government services. Physical condition assessment is routinely used to determine operational readiness of these units, however, these routine tests are not suited for injury prevention. A musculoskeletal disorder, or injury can negatively influence the success of the mission and cause a long-term disability and inefficient productivity. Therefore, specific tests are required to measure musculoskeletal properties which play a significant role in the mechanisms of injury in order to screen potential injury and apply preventive measures. Several countries apply movement analysis tests and functional movement screening for their armed forces. These tests can efficiently predict the possibility of musculoskeletal injuries, thus keep soldiers in service. In most cases at the operational level specific positions mandate special physical requirements from the subjects. Task-specific testing methods provide a comprehensive report about the subjects’ current physical state. Our research team have previously developed a user-friendly, simple and cost -effective movement analysis system that can monitors and records the subjects’ movements with artificial intelligence-based Kinect Azure camera without any markers, which enables state of the art measurement, documentation and can avoid subjective evaluation or conformation bias. This method is able to provide a biomechanical report about the subject during key movement patterns such as walking, running, jumping, or squatting. The system can detect the incorrect and the well-executed technics. A corrective treatment plan is also provided if sub-optimal movement patterns are recognized. During musculoskeletal rehabilitation there is a need for objective testing and retesting in order to provide optimal quantity and quality of training loads to avoid further injury. Repeated testing provides feedback about successful rehabilitation process.

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