The AGoRA V2 unilateral lower-limb exoskeleton: Mechatronic integration and biomechanical assessment

Otálora, Sophia; Ballen-Moreno, Felipe; Arciniegas-Mayag, Luis; Múnera, Marcela; A. Cifuentes, Carlos

Abstract

People who suffer from stroke have a higher difficulty performing gait activity, affecting their quality of life. New technologies have been developed to assist and rehabilitate the affected limbs. This paper presents the AGoRA V2 unilateral lower-limb exoskeleton and the assessment of physiological and spatiotemporal parameters of gait in 10 subjects who participated in a test. AGORA V2 combine a stiff structure for the Hip and Knee and the T-FLEX ankle exoskeleton (soft structure). The results showed a significant decrease in muscle activity compared to the condition without an exoskeleton. This decrease was 8% in Biceps Femoris (BF) muscle activity and 4% in Vastus Medialis (VM) muscle activity, generated by proper assistance of the devices thigh muscles. Tibialis Anterior (TA) and Lateral Gastrocnemius (LG) muscles and gait times did not show significant changes, which can be interpreted as a correct synchronisation of the devices with the person’s gait. The results obtained can be used as a baseline for future studies with pathological patients.

Citation

Otálora, S., Ballen-Moreno, F., Arciniegas-Mayag, L., Múnera, M., & A. Cifuentes, C. (2022). The AGoRA V2 unilateral lower-limb exoskeleton: Mechatronic integration and biomechanical assessment. IEEE Robotics and Automation Letters, 7(3), 7928-7933. https://doi.org/10.1109/lra.2022.3186066

• Journal Article Type: Article
• Acceptance Date: Jun 1, 2022
• Online Publication Date: Jun 24, 2022
• Publication Date: Jul 1, 2022
• Deposit Date: Jul 18, 2022
• Publicly Available Date: Jul 19, 2022
• Journal: IEEE Robotics and Automation Letters
• Print ISSN: 2377-3766
• Electronic ISSN: 2377-3766
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 3
• Pages: 7928-7933
• DOI: https://doi.org/10.1109/lra.2022.3186066
• Keywords: Artificial Intelligence, Control and Optimization, Computer Science Applications, Computer Vision and Pattern Recognition, Mechanical Engineering, Human-Computer Interaction, Biomedical Engineering, Control and Systems Engineering
• Public URL: https://uwe-repository.worktribe.com/output/9682763
• Publisher URL: https://ieeexplore.ieee.org/document/9806179