sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Bioengineering,Biophysics,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s42235-022-00280-3.pdf
Reference36 articles.
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2. Amilibia, M. Z., Cortes, C., Simonetti, A. B., Satrustegi, A., Iturburu, M., Reina, I., Finez, J., Alonso-Arce, M., & Callejo, P. (2021). Preliminary evaluation of an objective assessment approach from session data in exoskeleton-assisted gait rehabilitation after SCI. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Mexico, San Luis Potosi. https://doi.org/10.1109/EMBC46164.2021.9630352
3. Inoue, J., Kimura, R., Shimada, Y., Saito, K., Kudo, D., Hatakeyama, K., Watanabe, M., Maeda, K., Iwami, T., Matsunaga, T., & Miyakoshi, N. (2022). Development of a Gait rehabilitation robot using an exoskeleton and functional electrical stimulation: validation in a pseudo-paraplegic model. Progress in Rehabilitation Medicine, 7, 20220001. https://doi.org/10.2490/prm.20220001
4. Liu, C., Liang, H. B., Ueda, N., Li, P., Fujimoto, Y., & Zhu, C. (2020). Functional evaluation of a force sensor-controlled upper-limb power-assisted exoskeleton with high back drivability. Sensors, 20, 6379. https://doi.org/10.3390/s20216379
5. Harith, H. H., Mohd, M. F., & Sowat, S. N. (2021). A preliminary investigation on upper limb exoskeleton assistance for simulated agricultural tasks. Applied Ergonomics, 95, 103455. https://doi.org/10.1016/j.apergo.2021.103455
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