Smart Mechatronic Elbow Brace using EMG Sensors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F22%3A00010094" target="_blank" >RIV/46747885:24620/22:00010094 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ijitis.org/index.php/ijitis/article/view/152" target="_blank" >https://www.ijitis.org/index.php/ijitis/article/view/152</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15157/IJITIS.2022.5.2.865-873" target="_blank" >10.15157/IJITIS.2022.5.2.865-873</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Smart Mechatronic Elbow Brace using EMG Sensors

Popis výsledku v původním jazyce

Majority of injuries are involved in damages of elbow and the recovery therapy period may take up to 12-24 months in health care centres. Therefore, it is needed to supply a smart mechatronic brace for patients who cannot come to health care centres, can exercise their rehabilitation at home. This project designs and tests a smart mechatronic brace for home rehabilitation of elbow injured patients. The device is run by electromyography (EMG) sensors. Data from EMG sensors is processed, filtered, smoothed, and converted into pulse width modulation (PWM) to run the DC motor. The system is controlled by adaptive linear quadratic Gaussian (LQG) and Kalman filter (KF). The DC motor can track well the human motion with the error less than 5%. The system is relatively simple, reliable, safe, low cost and high accuracy.

Název v anglickém jazyce

Smart Mechatronic Elbow Brace using EMG Sensors

Popis výsledku anglicky

Majority of injuries are involved in damages of elbow and the recovery therapy period may take up to 12-24 months in health care centres. Therefore, it is needed to supply a smart mechatronic brace for patients who cannot come to health care centres, can exercise their rehabilitation at home. This project designs and tests a smart mechatronic brace for home rehabilitation of elbow injured patients. The device is run by electromyography (EMG) sensors. Data from EMG sensors is processed, filtered, smoothed, and converted into pulse width modulation (PWM) to run the DC motor. The system is controlled by adaptive linear quadratic Gaussian (LQG) and Kalman filter (KF). The DC motor can track well the human motion with the error less than 5%. The system is relatively simple, reliable, safe, low cost and high accuracy.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Journal of Innovative Technology and Interdisciplinary Sciences

ISSN

26137305

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

EE - Estonská republika

Počet stran výsledku

8

Strana od-do

865-873

Kód UT WoS článku

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EID výsledku v databázi Scopus

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