Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury
Authors
Krueger, Eddy
Popović-Maneski, Lana

Neto, Guilherme Nunes Nogueira
Mendonça Scheeren, Eduardo
Fiusa, Jessika Mehret
Nohama, Percy
Article (Published version)
Metadata
Show full item recordAbstract
Functional electrical stimulation (FES) is a method of activating paralyzed muscles. During FES application, fast muscle fatigue can occur (the inability of stimulated muscles to generate force). Therefore, it is beneficial to estimate the muscle fatigue for FES closed-loop control for walking to prevent unexpected muscle collapse and adapt the FES strategy in real time. Mechanomyography (MMG) is a noninvasive technique for registering myofiber vibrations, representing an ideal candidate for the provision of feedback. The hypothesis was that MMG signals could effectively detect muscle fatigue and, thus, provide feedback.
Source:
Research on Biomedical Engineering, 2020, 36, 3, 203-212Publisher:
- Springer
Funding / projects:
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 484325/2011-6)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 309514/2014-2)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for providing scholarships and financial resources (Process no. 151210/2018-7)
- Design of Robot as Assistive Technology in Treatement of Children with Developmental Disorders (RS-44008)
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - JOUR AU - Krueger, Eddy AU - Popović-Maneski, Lana AU - Neto, Guilherme Nunes Nogueira AU - Mendonça Scheeren, Eduardo AU - Fiusa, Jessika Mehret AU - Nohama, Percy PY - 2020 UR - https://doi.org/10.1007/s42600-020-00061-z UR - https://dais.sanu.ac.rs/123456789/9817 AB - Functional electrical stimulation (FES) is a method of activating paralyzed muscles. During FES application, fast muscle fatigue can occur (the inability of stimulated muscles to generate force). Therefore, it is beneficial to estimate the muscle fatigue for FES closed-loop control for walking to prevent unexpected muscle collapse and adapt the FES strategy in real time. Mechanomyography (MMG) is a noninvasive technique for registering myofiber vibrations, representing an ideal candidate for the provision of feedback. The hypothesis was that MMG signals could effectively detect muscle fatigue and, thus, provide feedback. PB - Springer T2 - Research on Biomedical Engineering T1 - Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury SP - 203 EP - 212 VL - 36 IS - 3 DO - 10.1007/s42600-020-00061-z UR - https://hdl.handle.net/21.15107/rcub_dais_9817 ER -
@article{ author = "Krueger, Eddy and Popović-Maneski, Lana and Neto, Guilherme Nunes Nogueira and Mendonça Scheeren, Eduardo and Fiusa, Jessika Mehret and Nohama, Percy", year = "2020", abstract = "Functional electrical stimulation (FES) is a method of activating paralyzed muscles. During FES application, fast muscle fatigue can occur (the inability of stimulated muscles to generate force). Therefore, it is beneficial to estimate the muscle fatigue for FES closed-loop control for walking to prevent unexpected muscle collapse and adapt the FES strategy in real time. Mechanomyography (MMG) is a noninvasive technique for registering myofiber vibrations, representing an ideal candidate for the provision of feedback. The hypothesis was that MMG signals could effectively detect muscle fatigue and, thus, provide feedback.", publisher = "Springer", journal = "Research on Biomedical Engineering", title = "Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury", pages = "203-212", volume = "36", number = "3", doi = "10.1007/s42600-020-00061-z", url = "https://hdl.handle.net/21.15107/rcub_dais_9817" }
Krueger, E., Popović-Maneski, L., Neto, G. N. N., Mendonça Scheeren, E., Fiusa, J. M.,& Nohama, P.. (2020). Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury. in Research on Biomedical Engineering Springer., 36(3), 203-212. https://doi.org/10.1007/s42600-020-00061-z https://hdl.handle.net/21.15107/rcub_dais_9817
Krueger E, Popović-Maneski L, Neto GNN, Mendonça Scheeren E, Fiusa JM, Nohama P. Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury. in Research on Biomedical Engineering. 2020;36(3):203-212. doi:10.1007/s42600-020-00061-z https://hdl.handle.net/21.15107/rcub_dais_9817 .
Krueger, Eddy, Popović-Maneski, Lana, Neto, Guilherme Nunes Nogueira, Mendonça Scheeren, Eduardo, Fiusa, Jessika Mehret, Nohama, Percy, "Neuromuscular fatigue detection by mechanomyography in people with complete spinal cord injury" in Research on Biomedical Engineering, 36, no. 3 (2020):203-212, https://doi.org/10.1007/s42600-020-00061-z ., https://hdl.handle.net/21.15107/rcub_dais_9817 .