Motion Analysis Tool for Diagnosis of Orthopedic Disorders

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Motion Analysis Tool for Diagnosis of Orthopedic Disorders

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Motion Analysis Tool for Diagnosis of Orthopedic Disorders

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

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

ISSN

1210-0471

e-ISSN

—

Svazek periodika

66

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

9-16

Kód UT WoS článku

—

EID výsledku v databázi Scopus

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