Projects & Grants

Internal Grant Competition DGC

Telemedicine in the acquisition and rehabilitation phase I.
Project IdMSK_indiv 01_2021
Main solverdoc. Ing. Petr Čermák, Ph.D.
Period1/2021 - 12/2022
ProviderMoravskoslezský kraj
AnotationNeurodegenerative diseases (Parkinson's disease, Alzheimer's dementia and others) affect a significant part of the elderly population, leading to disability and deterioration in quality of life. Automatic imaging of specific nuclei and centers of the brain allows you to analyze images obtained using neuroimaging methods, including ultrasound, and thus help in determining the diagnosis of individual neurodegenerative diseases. The analyzed nuclei and centers are placed very uniformly intracranially (inside the skull). Thus, it is possible to robotically target the ultrasound probe in the correct position, and then it is possible to check and confirm the correctness of the display of the given structure by analyzing the scanned ultrasound paintings. As part of this process, it is necessary to solve the analysis of image data in real time. From the point of view of robotics, there is a need to integrate many sensors for ensuring a level playing field. As part of the solution, a modification of the designed existing humanoid robotic platforms / arms or arms will be performed. This modification involves the design of a modification of the arm so that the robot can hold the ultrasound probe and monitor the pressure on the skin to provide acoustic feedback. The robotic arm has a greater range of motion. The second solution will be an "acquisition helmet", where a small area for acquisition will be defined. Both approaches have their specifics. Today, hospitals register and treat many patients who have spinal problems. Due to the lack of physiotherapists, patients often have to exercise alone at home. The solution will be a design of a system for supervision and management of the exercise / rehabilitation process. Feedback will be provided by RBGD or laser cameras and motion analysis software. This project addresses the pre-implementation phase of these two approaches.