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  • Open Access

    ARTICLE

    Personalized Lower Limb Gait Reconstruction Modeling Based on RFA-ProMP

    Chunhong Zeng, Kang Lu, Zhiqin He*, Qinmu Wu

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1441-1456, 2024, DOI:10.32604/cmc.2024.051551 - 18 July 2024

    Abstract Personalized gait curves are generated to enhance patient adaptability to gait trajectories used for passive training in the early stage of rehabilitation for hemiplegic patients. The article utilizes the random forest algorithm to construct a gait parameter model, which maps the relationship between parameters such as height, weight, age, gender, and gait speed, achieving prediction of key points on the gait curve. To enhance prediction accuracy, an attention mechanism is introduced into the algorithm to focus more on the main features. Meanwhile, to ensure high similarity between the reconstructed gait curve and the normal one, More >

  • Open Access

    ARTICLE

    An Efficient Method for Identifying Lower Limb Behavior Intentions Based on Surface Electromyography

    Liuyi Ling1,2,3, Yiwen Wang1,*, Fan Ding4, Li Jin1, Bin Feng3, Weixiao Li3, Chengjun Wang1, Xianhua Li1

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2771-2790, 2023, DOI:10.32604/cmc.2023.043383 - 26 December 2023

    Abstract Surface electromyography (sEMG) is widely used for analyzing and controlling lower limb assisted exoskeleton robots. Behavior intention recognition based on sEMG is of great significance for achieving intelligent prosthetic and exoskeleton control. Achieving highly efficient recognition while improving performance has always been a significant challenge. To address this, we propose an sEMG-based method called Enhanced Residual Gate Network (ERGN) for lower-limb behavioral intention recognition. The proposed network combines an attention mechanism and a hard threshold function, while combining the advantages of residual structure, which maps sEMG of multiple acquisition channels to the lower limb motion More >

  • Open Access

    ARTICLE

    Lower Limb Muscle Forces in Table Tennis Footwork during Topspin Forehand Stroke Based on the OpenSim Musculoskeletal Model: A Pilot Study

    Yuqi He1,2,3, Shirui Shao1, Gusztáv Fekete3, Xiaoyi Yang1, Xuanzhen Cen1,4, Yang Song1,4, Dong Sun1,*, Yaodong Gu1,*

    Molecular & Cellular Biomechanics, Vol.19, No.4, pp. 221-235, 2022, DOI:10.32604/mcb.2022.027285 - 27 December 2022

    Abstract Introduction: Footwork is one of the training contents that table tennis players and coaches focus on. This study aimed to gain a thorough understanding of the muscle activity of the table tennis footwork and creating a musculoskeletal model to investigate the muscle forces, joint kinematic, and joint kinetic characteristics of the footwork during topspin forehand stroke. Methods: Six male table tennis athletes (height: 171.98 ± 4.97 cm; weight: 68.77 ± 7.86 kg; experience: 10.67 ± 1.86 years; age: 22.50 ± 1.64 years) performed chasse step and one-step footwork to return the ball from the coach by… More >

  • Open Access

    ARTICLE

    Comparison of Biomechanical Characteristics during the Second Landing Phase in Female Latin Dancers: Evaluation of the Bounce and Side Chasse Step

    Fengfeng Li1, Huiyu Zhou1,2, Datao Xu1, Julien S. Baker3, Yaodong Gu1,*

    Molecular & Cellular Biomechanics, Vol.19, No.3, pp. 115-129, 2022, DOI:10.32604/mcb.2022.022658 - 14 June 2022

    Abstract Research on dance lower extremity joint motion has been limited. Thus, the purpose of this study was to investigate the lower limb biomechanics differences between the side chasse step (SCS) and the bounce step (BS) of the second landing phase in Jive. Thirteen female recreational Latin dancers (Age: 22 ± 2.5 years; Height: 1.65 ± 0.05 m; Weight: 50 ± 4.5 kg; Dance experience: 4 ± 2 years) were involved in the experiment. The same music was used throughout the data collection period. We intended to determine whether these two steps generate different kinematic and kinetic data. The ankle, hip, and knee More >

  • Open Access

    ARTICLE

    Lower-Limb Motion-Based Ankle-Foot Movement Classification Using 2D-CNN

    Narathip Chaobankoh1, Tallit Jumphoo1, Monthippa Uthansakul1, Khomdet Phapatanaburi2, Bura Sindthupakorn3, Supakit Rooppakhun4, Peerapong Uthansakul1,*

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1269-1282, 2022, DOI:10.32604/cmc.2022.027474 - 18 May 2022

    Abstract Recently, the Muscle-Computer Interface (MCI) has been extensively popular for employing Electromyography (EMG) signals to help the development of various assistive devices. However, few studies have focused on ankle foot movement classification considering EMG signals at limb position. This work proposes a new framework considering two EMG signals at a lower-limb position to classify the ankle movement characteristics based on normal walking cycles. For this purpose, we introduce a human ankle-foot movement classification method using a two-dimensional-convolutional neural network (2D-CNN) with low-cost EMG sensors based on lower-limb motion. The time-domain signals of EMG obtained from… More >

  • Open Access

    ARTICLE

    A Survey of Lower Limb Rehabilitation Systems and Algorithms Based on Functional Electrical Stimulation

    Mingxu Sun1, *, Xueyan Wu2, Qi Liu3, *

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 281-292, 2020, DOI:10.32604/cmc.2020.06098

    Abstract Functional electrical stimulation is a method of repairing a dysfunctional limb in a stroke patient by using low-intensity electrical stimulation. Currently, it is widely used in smart medical treatment for limb rehabilitation in stroke patients. In this paper, the development of FES systems is sorted out and analyzed in a time order. Then, the progress of functional electrical stimulation in the field of rehabilitation is reviewed in details in two aspects, i.e., system development and algorithm progress. In the system aspect, the development of the first FES control and stimulation system, the core of the More >

  • Open Access

    ARTICLE

    Using a Musculoskeletal Mathematical Model to Analyze Fatigue of the Muscles in the Lower Limbs during Different Motions

    Kaito Watanabe1, Masaki Izawa1, Ayumi Takahashi1, Kazuhito Misaji1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 191-207, 2018, DOI:10.3970/cmes.2018.114.191

    Abstract Under the aim of finding effective rehabilitation solutions, the difference between the extents of fatigue of each muscle used in different motions are compared. Previous research suggested methods for estimating muscle torque and muscle tension on the basis of a musculoskeletal model. As a result, it has become possible to quantitatively identify the extent of fatigue in each muscle during motion. Therefore, to evaluate muscle fatigue more quantitatively, driving power and angular momentum are focused on. Based on the driving torque of joints and the muscle torque calculated by using a three-dimensional musculoskeletal model, a More >

  • Open Access

    ARTICLE

    A Method for the Verification of Structural Integrity of Lower Limbs Prostheses

    C. Colombo1, E.G. Marchesin1, L. Vergani1,2, E. Boccafogli3, G. Verni3

    Structural Durability & Health Monitoring, Vol.8, No.4, pp. 307-328, 2012, DOI:10.32604/sdhm.2012.008.307

    Abstract In this study an experimental device for testing the structural integrity of lower limb (transtibial and transfemoral) prostheses is proposed and studied, in accordance with the ISO 10328 Standard. Aim of the development of this device is to mechanically test these kinds of prostheses, for claiming the compliance with the standard. In the first part of the paper, experimental setup of the laboratory is described for the different kinds of prescribed tests. In the second part, the test case of a transtibial prosthesis for children is proposed. After verifying the compliance with the standard of More >

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