VRneck SOLUTION is a project aimed at building a global system supporting decision-making in the process of diagnosis and rehabilitation of persons with functional impairment of cervical spine, cervicothoracic junction and craniocervical junction. The system may be used both by professionals – doctors, physiotherapists, certifying physicians from companies and insurance institutions – and patients themselves. […]>
VRneck SOLUTION – treatment
VRneck treatment will be based on the same mechanisms as diagnosis. The only difference will consist in choosing appropriate test boards in order to intensify exercises in those fields of segment motion in which the diagnostics has detected the greatest functional impairment.
In the VRneck SOLUTION’s design, the diagnostics workstation will be based on a Windows PC configured for interoperability with a chosen model of VR goggles (appropriate computing power, recommended graphics card, etc.).
The diagnostics workstation will feature both applications for carrying out the VRneck test and applications for analyzing VRneck results. It will be connected with the VRneck SOLUTION system through the cloud. VRneck test results will be temporarily stored on the workstation’s disk, and after completing the examination they will be transferred to the VRneck system’s database along with related patient and doctor/physiotherapist data.
In the future, we also plan to implement the VRneck test for mobile devices, which should contribute to a wider adoption of the VRneck SOLUTION and easier access to VRneck treatment.
One of key design components is a diagnostics workstation. Its major feature is diagnosing functional impairment of cervical spine and cervicothoracic junction and supporting treatment in that field. Diagnosing cervical spine disorders consists of many elements, including: anamnesis, X-ray examination, sEMG examination, manual examination, examining nerve and muscle coordination with the use of Stabilizer, VRneck […]>
Other important components of the VRneck SOLUTION system include automatic diagnosis module and automatic treatment program selection module. Both modules will be created using artificial intelligence (AI) methods. Those methods will leverage intelligent data analysis algorithms which learn to detect dependencies between data captured by VRneck devices (and other available sources of information) and functional […]>