All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Motion Analysis Tool for Diagnosis of Orthopedic Disorders

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916819" target="_blank" >RIV/00216275:25530/20:39916819 - isvavai.cz</a>

  • Result on the web

    <a href="https://dspace.vsb.cz/handle/10084/142463" target="_blank" >https://dspace.vsb.cz/handle/10084/142463</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22223/tr.2020-1/2058" target="_blank" >10.22223/tr.2020-1/2058</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Motion Analysis Tool for Diagnosis of Orthopedic Disorders

  • Original language description

    Rehabilitation after invasive surgeries of large joints is a necessary part of a convalescence process. In clinical practise, the rehabilitation results and its course are assessed by the subjective view of the attending physician and the evaluation depends on the amount of his experience. The modern trend is to supplement this view with measured data and metrics, which objectively assess the course of the convalescence process. This approach is usually implemented by measuring the patient’s motion data and creating a computer model, which is then examined. The patient’s motion is usually recorded in form of measuring the acceleration of the limb segments, measuring the muscle potential (electromyography) or recording a video with subsequent image analysis. The goal of this work is to create a comprehensive system of objective assessment of the rehabilitation using patient’s motion data recording with subsequent analysis of the measured data by classification application. The motion is represented by data from accelerometers placed on flexible bands on the assessed joints supplemented by electromyography signals of the active muscles. The paper contains a brief research of commercially available solutions and a description of the proposed device that will be tested in clinical conditions. The device is in the development phase.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sborník vědeckých prací Vysoké školy báňské - technické univerzity Ostrava, Řada strojní

  • ISSN

    1210-0471

  • e-ISSN

  • Volume of the periodical

    66

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    9-16

  • UT code for WoS article

  • EID of the result in the Scopus database