Oct 27, 2020   5:03 p.m. Sabína, pamätný deň - Deň černovskej tragédie
Academic information system


Development of Smart Devices for Innovative Procedures in Rehabilitation and Physiotherapy

Supervisor: prof. Ing. Pavol Tanuška, PhD.

Basic information

This page shows details on the project. The primary projects are displayed together with a list of sub-projects.

Project description:
The aim of the project is the design and experimental verification of a smart device which will serve as an intelligent physiotherapeutic aid in the process of recovery. Depending on the type of device used, the device will have the ability to adapt its behavior to the patient's disability and patient’s rehabilitation. In practice it means, that a different mode may be set for the same disability (fracture, post-operative condition) depending on the patient’s ability to use the device. The device will be able to learn, respectively train the correct movement patterns individually tailored to the patient, and guide the patient during the usage to use it correctly. The device will also collect long-time information about its use which are primarily intended for the rehabilitation specialist. Thanks to the fact that the device contains a set of sensors that collect information about the external conditions, their state and patient status (device user), implementation of machine learning elements, processing of measured data, communication with the superior system energy-independent solution - mark this device as smart or intelligent. In currently available rehabilitation aids are also built-in sensors, but provide only instantaneous status information to allow tracking selected parameters during rehabilitation exercises. For this reason, the authors' team considers it necessary to design and implement the principles of machine learning (situation recognition, classification) and control software in the selected aid. Thanks to algorithms implementing neural networks, aid in learning/training mode under the supervision of a physiotherapist can learn/train movement patterns that are designed for a patient with a particular disability. The benefits of the project are to eliminate painful conditions, reduce rehabilitation time and accelerate return
Kind of project:APVV - Všeobecná výzva ()
Institute of Applied Informatics, Automation and Mechatronics (MTF)
Project identification:
Project status:Not approved
Project start date :
01. 07. 2019
Project close date:
30. 06. 2022
Number of workers in the project:
Number of official workers in the project:

Official project workers

The following table shows the researcher workers who have been assigned official roles in a project.

Official roles
prof. Ing. Pavol Tanuška, PhD.
zodpovedný riešiteľ
doc. Ing. Juraj Ďuďák, PhD.spoluriešiteľ
doc. Ing. Michal Kebísek, PhD.
Ing. Miriam Iringová, PhD.
Ing. Ján Jánošíkspoluriešiteľ
Ing. Martin Németh, PhD.
doc. Ing. Peter Schreiber, CSc.
Ing. Lukáš Špendla, PhD.