Comparison of Intramuscular and Surface Electromyography Recordings towards the Control of Wearable Robots for Incomplete Spinal Cord Injury Rehabilitation
Paper i proceeding, 2020
Spinal Cord Injury (SCI) affects thousands of people worldwide every year. SCI patients have disrupted muscle recruitment and are more predisposed to other complications. To recover or enhance lower limbs functions, conventional rehabilitation programs are typically used. More recently, conventional programs have been combined with robot-assisted training. Electromyography (EMG) activity is generally used to record the electrical activity of the muscles, which in turn can be used to control robotic assistive devices as orthoses, prostheses and exoskeletons. In this sense, surface EMG can be used as input to myoelectric control but presents some limitations such as myoelectric crosstalk, as well as the influence of motion artefacts, and electromagnetic noise. EMG can also be recorded using intramuscular detection systems, which allows the detection of electric potentials closer to the muscle fibres and the recording of EMG activity from deeper muscles. This paper evaluates the quality of intramuscular EMG recordings compared to surface EMG signals, as a preliminary step to control EMG-driven exoskeletons. Seven healthy subjects performed submaximal knee and ankle flexion/extension movements with and without the use of a lower limb exoskeleton. Intramuscular recordings presented early muscle activation detecting times, which is a very important feature in real-time control, and good signal-to-noise ratio values, showing the potential of these biosignals as reliable input measures to control exoskeletons for rehabilitation purposes.
Författare
Camila Rodrigues
Consejo Superior de Investigaciones Científicas (CSIC)
Marvin Fernandéz
Universidad San Pablo-CEU
Álvaro Megia
Hospital Nacional de Paraplejicos
Natalia Comino
Hospital Nacional de Paraplejicos
António Del-Ama
Universidad Rey Juan Carlos
Hospital Nacional de Paraplejicos
Ángel Gil-Agudo
Hospital Nacional de Paraplejicos
Moon Ki Jung
Imperial College London
Silvia Muceli
Imperial College London
Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Medicinska signaler och system
Dario Farina
Imperial College London
Juan Moreno
CSIC - Instituto Cajal (IC)
Jose L. Pons
CSIC - Instituto Cajal (IC)
Northwestern University
Shirley Ryan AbilityLab, Legs & Walking AbilityLab
Filipe O. Barroso
CSIC - Instituto Cajal (IC)
Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
21551774 (ISSN)
Vol. 2020-November 564-569 9224361
8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020
New York City, USA,
New York City, USA,
Ämneskategorier
Sjukgymnastik
Annan medicinteknik
Fysiologi
Drivkrafter
Hållbar utveckling
Styrkeområden
Hälsa och teknik
DOI
10.1109/BioRob49111.2020.9224361