Research report on the basis for the design of a system for improving robotic physiotherapy treatment using machine learning methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F19%3A00344970" target="_blank" >RIV/68407700:21460/19:00344970 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/19:00344970

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Research report on the basis for the design of a system for improving robotic physiotherapy treatment using machine learning methods

Popis výsledku v původním jazyce

The research report contains a specification of basics and analysis for the design of a system and methods for improving robotic physiotherapy treatment using machine learning methods. The report contains a description of the current state of the system and methods in the field of motion recording and evaluation used in the world and at CTU in Prague, presents the basic technologies and starting points for the implementation of design and software, including methods for processing measured data. The methods are analyzed and recommended with regard to their use in the analysis of movement, short-term movement in the quantitative assessment of the health of the musculoskeletal system.

Název v anglickém jazyce

Research report on the basis for the design of a system for improving robotic physiotherapy treatment using machine learning methods

Popis výsledku anglicky

The research report contains a specification of basics and analysis for the design of a system and methods for improving robotic physiotherapy treatment using machine learning methods. The report contains a description of the current state of the system and methods in the field of motion recording and evaluation used in the world and at CTU in Prague, presents the basic technologies and starting points for the implementation of design and software, including methods for processing measured data. The methods are analyzed and recommended with regard to their use in the analysis of movement, short-term movement in the quantitative assessment of the health of the musculoskeletal system.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LTAIZ19008" target="_blank" >LTAIZ19008: Zkvalitnění robotické fyzioterapeutické léčby pomocí metod strojového učení</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

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