scholarly journals Pneumatic Artificial Muscle Actuated Robot for Lower Limb Rehabilitation Triggered by Eelectromyography Signals Using Discrete Wavelet Transformation and Support Vector Machines

2017 ◽  
pp. 1625 ◽  
Keyword(s):  
Lower Limb ◽  
Wavelet Transformation ◽  
Artificial Muscle ◽  
Support Vector ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transformation ◽  
Pneumatic Artificial Muscle ◽  
Vector Machines ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

scholarly journals A Smart Terrain Identification Technique Based on Electromyography, Ground Reaction Force, and Machine Learning for Lower Limb Rehabilitation

2020 ◽  
Vol 10 (8) ◽  
pp. 2638 ◽  
Author(s):  
Shuo Gao ◽  
Yixuan Wang ◽  
Chaoming Fang ◽  
Lijun Xu
Keyword(s):  
Machine Learning ◽  
Ground Reaction Force ◽  
Lower Limb ◽  
Confusion Matrix ◽  
Reaction Force ◽  
Simple System ◽  
Support Vector ◽  
Terrain Classification ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Automatic terrain classification in lower limb rehabilitation systems has gained worldwide attention. In this field, a simple system architecture and high classification accuracy are two desired attributes. In this article, a smart neuromuscular–mechanical fusion and machine learning-based terrain classification technique utilizing only two electromyography (EMG) sensors and two ground reaction force (GRF) sensors is reported for classifying three different terrains (downhill, level, and uphill). The EMG and GRF signals from ten healthy subjects were collected, preprocessed and segmented to obtain the EMG and GRF profiles in each stride, based on which twenty-one statistical features, including 9 GRF features and 12 EMG features, were extracted. A support vector machine (SVM) machine learning model is established and trained by the extracted EMG features, GRF features and the fusion of them, respectively. Several methods or statistical metrics were used to evaluate the goodness of the proposed technique, including a paired-t-test and Kruskal–Wallis test for correlation analysis of the selected features and ten-fold cross-validation accuracy, confusion matrix, sensitivity and specificity for the performance of the SVM model. The results show that the extracted features are highly correlated with the terrain changes and the fusion of the EMG and GRF features produces the highest accuracy of 96.8%. The presented technique allows simple system construction to achieve the precise detection of outcomes, potentially advancing the development of terrain classification techniques for rehabilitation.

Recent Advances on Horizontal Lower Limb Rehabilitation Robot

2017 ◽  
Vol 10 (2) ◽  
Author(s):  
Jingang Jiang ◽  
Xuefeng Ma ◽  
Biao Huo ◽  
Xiaoyang Yu ◽  
Xiaowei Guo ◽  
...  
Keyword(s):  
Lower Limb ◽  
Rehabilitation Robot ◽  
Recent Advances ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Impedance Control Based Sliding Mode for Lower Limb Rehabilitation Robot

2014 ◽  
Vol 672-674 ◽  
pp. 1770-1773 ◽  
Author(s):  
Fu Cheng Cao ◽  
Li Min Du
Keyword(s):  
Dynamic Response ◽  
Sliding Mode Control ◽  
Lower Limb ◽  
Control Method ◽  
Sliding Mode ◽  
Impedance Control ◽  
Rehabilitation Robot ◽  
Active Rehabilitation ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Aimed at improving the dynamic response of the lower limb for patients, an impedance control method based on sliding mode was presented to implement an active rehabilitation. Impedance control can achieve a target-reaching training without the help of a therapist and sliding mode control has a robustness to system uncertainty and vary limb strength. Simulations demonstrate the efficacy of the proposed method for lower limb rehabilitation.

Integrated design of a lower limb rehabilitation mechanism using differential evolution

2021 ◽  
Vol 92 ◽  
pp. 107103
Author(s):  
José Saúl Muñoz-Reina ◽  
Miguel Gabriel Villarreal-Cervantes ◽  
Leonel Germán Corona-Ramírez
Keyword(s):  
Differential Evolution ◽  
Lower Limb ◽  
Integrated Design ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Lower limb rehabilitation equipment with animation performance for isotonic and isokinetic exercises

2020 ◽  
Author(s):  
Nurul Hasyikin Hasmuni Chew ◽  
Siti Marwangi Mohamad Maharum ◽  
Zuhanis Mansor ◽  
Irfan Abd Rahim
Keyword(s):  
Lower Limb ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Mechatronic Exoskeletons for Lower-Limb Rehabilitation: An Innovative Review

2021 ◽  
Author(s):  
Deyby Huamanchahua ◽  
Yerson Taza-Aquino ◽  
Jhon Figueroa-Bados ◽  
Jason Alanya-Villanueva ◽  
Adriana Vargas-Martinez ◽  
...  
Keyword(s):  
Lower Limb ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation
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