Electromyographic analysis of upper limb muscles for automatic wheelchair propulsion control

• Autorzy: Wieczorek Bartosz , Warguła Łukasz , Gierz Lukasz , Zharkevich Olga , Nikonova Tatyana , Sydor Maciej

Identyfikatory

DOI

10.15199/48.2024.11.02

Warianty tytułu

PL

Analiza elektromiograficzna mięśni kończyn górnych do automatycznej kontroli napędu wózka inwalidzkiego

• Języki publikacji: EN

Abstrakty

EN

Equipping hand-propelled wheelchairs with supplementary power assistance systems combining the advantages of manual and electric wheelchairs. The study aims to develop innovative automatic steering strategies for assistive drive systems. Our approach involves regulating the intensity of power assistance using one upper arm's electromyography (EMG) signals, significantly simplifying the control system. However, the inherent asymmetry between the actions of the right and left upper limbs (handedness) poses a challenge. To address this, we set out to identify the upper limb muscle group exhibiting the least propelling asymmetry between the left and right sides, thereby determining the most suitable candidate for controlling the assistive drive of a wheelchair. The study used a standard manual-powered wheelchair and a single non-disabled research partici pant. Muscle activity in each upper limb during wheelchair propulsion was measured using EMG equipment. Eight muscle examinations were per formed on each upper limb: biceps brachii (A), triceps brachii (B), medial epicondyle (C), extensor carpi radialis longus (D), anterior epicondyle (E), posterior epicondyle (F), trapezius, middle region (G), and subscapularis (H). The mean maximal muscle EMG signal was analyzed based on six cycles of wheelchair propulsion. The asymmetry of EMG values for the left and right limbs can vary from 15% to 53%, depending on the muscle studied. Our findings reveal that the D muscle displays the least muscular asymmetry during wheelchair propulsion, suggesting that the tension signals of this muscle can effectively regulate the intensity of assisted wheelchair propulsion.

PL

Wyposażenie wózków inwalidzkich z napędem ręcznym w dodatkowe napędy wspomagające łączy zalety wózków ręcznych i elektrycz nych. Wymaga to jednak opracowania nowatorskich strategii automatycznego sterowania dla takich systemów napędu wspomagającego. Nasze podejście polega na regulowaniu intensywności wspomagania za pomocą sygnałów elektromiograficznych (EMG) jednego kończyny górnej, co znacznie upraszcza system sterowania. Wyzwaniem jest jednak asymetria pomiędzy działaniami prawej i lewej kończyny. Aby rozwiązać ten pro blem, postanowiliśmy zidentyfikować grupę mięśni kończyny górnej wykazującą najmniejszą asymetrię napędową pomiędzy lewą i prawą stroną, określając w ten sposób najbardziej odpowiedniego kandydata do kontrolowania napędu wspomagającego wózka inwalidzkiego. Badanie obejmo wało standardowy wózek inwalidzki z napędem ręcznym i jednego pełnosprawnego uczestnika. Aktywność mięśni każdej kończyny górnej podczas poruszania się wózkiem inwalidzkim mierzono za pomocą aparatury EMG. Na każdej kończynie górnej wykonano pomiary dla ośmiu mięśni: dwu głowego ramienia (A), trójgłowego ramienia (B), nadkłykcia przyśrodkowego (C), prostownika promieniowego długiego nadgarstka (D), nadkłykcia przedniego (E), nadkłykcia tylnego (F), mięśnia czworobocznego (region środkowy) (G) i podłopatkowego (H). Analizowano średni maksymalny sygnał EMG każdego mięśnia na podstawie sześciu cykli napędu wózka inwalidzkiego. Badania wykazały, że asymetria wartości sygnału EMG dla kończyny lewej i prawej może wahać się od 15% do 53%, w zależności od badanego mięśnia. Grupy mięśni charakteryzujące się małą wartością różnicy EMG najlepiej nadają się do sterowania napędem w oparciu o sygnał EMG z pojedynczej kończyny. Mięsień D wykazywał najmniejszą asymetrię mięśniową. Wyniki te sugerują, że sygnały tego mięśnia mogą skutecznie regulować intensywność wspomaganego napędu wózka inwa lidzkiego.

Słowa kluczowe

EN

assistive technology; hybrid drive; muscle asymmetry; laterality

PL

technologia wspomagająca; napęd hybrydowy; asymetria mięśni; lateralność

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 11
• Strony: 6--11
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Wieczorek Bartosz

• Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology

• https://orcid.org/0000-0003-0808-298X

autor

Warguła Łukasz

• Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology

• https://orcid.org/0000-0002-3120-778X

autor

Gierz Lukasz

• Institute of Machine Design, Faculty of Mechanical Engineering, Poznan University of Technology

• https://orcid.org/0000-0002-4249-4710

autor

Zharkevich Olga

• Department of Technological Equipment, Faculty of Mechanical Engineering and Standardization, Abylkas Saginov Karaganda Technical University

• https://orcid.org/0000-0002-6539-1263

autor

Nikonova Tatyana

• Department of Technological Equipment, Faculty of Mechanical Engineering and Standardization, Abylkas Saginov Karaganda Technical University

• https://orcid.org/0000-0003-4040-5718

autor

Sydor Maciej

• Department of Woodworking and Fundamentals of Machine Design, Faculty of Forestry and Wood Technology, Poznań University of Life Sciences

• https://orcid.org/0000-0003-0076-3190

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).