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Journal articles on the topic 'EMG-based control strategy'

Author: Grafiati

Published: 8 September 2021

Last updated: 29 July 2025

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1

Azad Feyzullayev, Aynur Jabiyeva, Azad Feyzullayev, Aynur Jabiyeva. "STRATEGY FOR REDUCING MUSCLE FATIGUE IN THE USE OF BIOELECTRIC PROSTHESIS BASED ON ELECTROMYOGRAPHIC ANALYSIS." Caucasus-Economic and Social Analysis Journal of Southern Caucasus 63, no. 01 (2025): 25–36. https://doi.org/10.36962/cesajsc63012025-25.

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Muscle fatigue is characterised by a decrease in the ability of muscles to perform required functions, which is accompanied by accumulation of metabolites, changes in ionic balance and electrical properties of muscle tissue. These physiological changes lead to marked transformations of electromyographic (EMG) signals, including a shift of their spectrum to lower frequencies. Such changes affect the quality of signal recognition and control accuracy of bioelectric prostheses, since most myoelectric control algorithms are based on the stability of spectral and amplitude characteristics of EMG si

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Cirelli, Gianmarco, Christian Tamantini, Luigi Pietro Cordella, and Francesca Cordella. "A Semiautonomous Control Strategy Based on Computer Vision for a Hand–Wrist Prosthesis." Robotics 12, no. 6 (2023): 152. http://dx.doi.org/10.3390/robotics12060152.

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Alleviating the burden on amputees in terms of high-level control of their prosthetic devices is an open research challenge. EMG-based intention detection presents some limitations due to movement artifacts, fatigue, and stability. The integration of exteroceptive sensing can provide a valuable solution to overcome such limitations. In this paper, a novel semiautonomous control system (SCS) for wrist–hand prostheses using a computer vision system (CVS) is proposed and validated. The SCS integrates object detection, grasp selection, and wrist orientation estimation algorithms. By combining CVS

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Chen, Lingling, Xiaotian Liu, Bokai Xuan, Jie Zhang, Zuojun Liu, and Yan Zhang. "Selection of EMG Sensors Based on Motion Coordinated Analysis." Sensors 21, no. 4 (2021): 1147. http://dx.doi.org/10.3390/s21041147.

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The intelligent prosthesis driven by electromyography (EMG) signal provides a solution for the movement of the disabled. The proper position of EMG sensors can improve the prosthesis’s motion recognition ability. To exert the amputee’s action-oriented ability and the prosthesis’ control ability, the EMG spatial distribution and internal connection of the prosthetic wearer is analyzed in three kinds of movement conditions: appropriate angle, excessive angle, and angle too small. Firstly, the correlation characteristics between the EMG channels are analyzed by mutual information to construct a m

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LIU, JIE, XIAOYAN LI, CHRISTINA MARCINIAK, WILLIAM ZEV RYMER, and PING ZHOU. "EXTRACTION OF NEURAL CONTROL COMMANDS USING MYOELECTRIC PATTERN RECOGNITION: A NOVEL APPLICATION IN ADULTS WITH CEREBRAL PALSY." International Journal of Neural Systems 24, no. 07 (2014): 1450022. http://dx.doi.org/10.1142/s0129065714500221.

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This study investigates an electromyogram (EMG)-based neural interface toward hand rehabilitation for patients with cerebral palsy (CP). Forty-eight channels of surface EMG signals were recorded from the forearm of eight adult subjects with CP, while they tried to perform six different hand grasp patterns. A series of myoelectric pattern recognition analyses were performed to identify the movement intention of each subject with different EMG feature sets and classifiers. Our results indicate that across all subjects high accuracies (average overall classification accuracy > 98%) can be achi

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Wang, Qiang, Chunjie Chen, Xinxing Mu, et al. "A Wearable Upper Limb Exoskeleton System and Intelligent Control Strategy." Biomimetics 9, no. 3 (2024): 129. http://dx.doi.org/10.3390/biomimetics9030129.

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Heavy lifting operations frequently lead to upper limb muscle fatigue and injury. In order to reduce muscle fatigue, auxiliary force for upper limbs can be provided. This paper presents the development and evaluation of a wearable upper limb exoskeleton (ULE) robot system. A flexible cable transmits auxiliary torque and is connected to the upper limb by bypassing the shoulder. Based on the K-nearest neighbors (KNN) algorithm and integrated fuzzy PID control strategy, the ULE identifies the handling posture and provides accurate active auxiliary force automatically. Overall, it has the quality

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Sriram, Girish, Alex Jensen, and Steve C. Chiu. "Smart Prosthetic Hand with Object Slippage Detection, Measurement, and Control." International Journal of Handheld Computing Research 5, no. 3 (2014): 25–48. http://dx.doi.org/10.4018/ijhcr.2014070102.

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The human hand along with its fingers possess one of the highest numbers of nerve endings in the human body. It thus has the capacity for the richest tactile feedback for positioning capabilities. This article shares a new technique of controlling slippage. The sensing system used for the detection of slippage is a modified force sensing resistor (FSR®). The control system is a fuzzy logic control algorithm with multiple rules that is designed to be processed on a mobile handheld computing platform and integrated/working alongside a traditional Electromyography (EMG) or Electroencephalography

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Li, Shunchong, Jiayuan He, Xinjun Sheng, Honghai Liu, and Xiangyang Zhu. "Synergy-Driven Myoelectric Control for EMG-Based Prosthetic Manipulation: A Case Study." International Journal of Humanoid Robotics 11, no. 02 (2014): 1450013. http://dx.doi.org/10.1142/s0219843614500133.

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The paper proposes a synergy-based myoelectric control strategy for prosthetic hands. Synergy is first reviewed in the context of hand movement, then postural synergy-based proportional and simultaneous control has been introduced to prosthetic manipulation via the principal component analysis (PCA) framework. Experiments have been comprehensively carried out on lab-developed prosthetic hand called SJU-5 to evaluate the proposed method. It is evident that the synergy driven myoelectric control achieves the targeted objectives and performs well on the SJU-5 prosthetic hand.

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Secciani, N., M. Bianchi, A. Ridolfi, B. Allotta, F. Gerli, and F. Vannetti. "Development and preliminary testing of an EMG-based control strategy for a hand exoskeleton." Gait & Posture 66 (October 2018): S35. http://dx.doi.org/10.1016/j.gaitpost.2018.07.155.

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9

Asai, Yoshiyuki, Shota Tateyama, and Taishin Nomura. "Learning an Intermittent Control Strategy for Postural Balancing Using an EMG-Based Human-Computer Interface." PLoS ONE 8, no. 5 (2013): e62956. http://dx.doi.org/10.1371/journal.pone.0062956.

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Arora, A. S. "Modified adaptive resonance theory based control strategy for EMG operated prosthesis for below-elbow amputee." Journal of Medical Engineering & Technology 31, no. 3 (2007): 191–201. http://dx.doi.org/10.1080/03091900500481036.

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Meng, Qiaoling, Yiming Yue, Sujiao Li, and Hongliu Yu. "Electromyogram-based motion compensation control for the upper limb rehabilitation robot in active training." Mechanical Sciences 13, no. 2 (2022): 675–85. http://dx.doi.org/10.5194/ms-13-675-2022.

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Abstract. Active participation in training is very important for improving the rehabilitation effect for patients with upper limb dysfunction. However, traditional upper limb rehabilitation robots cannot drive the patients' arms by following their varying motion intents during active training. This control strategy can weaken the patients' active participation. This paper proposes a novel center-driven upper limb rehabilitation robot and an electromyogram (EMG)-based motion compensation control method for the upper limb rehabilitation robot in active training in order to improve the patients'

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12

Meng, Wei, Quan Liu, Zude Zhou, and Qingsong Ai. "Active interaction control applied to a lower limb rehabilitation robot by using EMG recognition and impedance model." Industrial Robot: An International Journal 41, no. 5 (2014): 465–79. http://dx.doi.org/10.1108/ir-04-2014-0327.

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Purpose – The purpose of this paper is to propose a seamless active interaction control method integrating electromyography (EMG)-triggered assistance and the adaptive impedance control scheme for parallel robot-assisted lower limb rehabilitation and training. Design/methodology/approach – An active interaction control strategy based on EMG motion recognition and adaptive impedance model is implemented on a six-degrees of freedom parallel robot for lower limb rehabilitation. The autoregressive coefficients of EMG signals integrating with a support vector machine classifier are utilized to pred

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Biriș, Cristina-Maria, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Radu-Dumitru Grovu, and Dan-Mihai Rusu. "A Wearable Device for Upper Limb Rehabilitation and Assistance Based on Fluid Actuators and Myoelectric Control." Applied Sciences 13, no. 18 (2023): 10181. http://dx.doi.org/10.3390/app131810181.

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Wearable exoskeleton solutions for upper limb rehabilitation or assistance, particularly for the hand area, have become increasingly attractive to researchers, proving to be effective over time in treating hand movement impairments following various neurological diseases. Our aim in the present work is to design a wearable exoskeleton device for active hand rehabilitation/assist control based on myoelectric signal (EMG) capture from forearm muscles, which is easy to wear by the user, comfortable, lightweight, and relatively inexpensive to make. The actuators use two different lengths to increa

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Zhao, Shumi, Jianxun Liu, Zidan Gong, et al. "Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training." Sensors 20, no. 17 (2020): 4861. http://dx.doi.org/10.3390/s20174861.

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Secondary injuries are common during upper limb rehabilitation training because of uncontrollable physical force and overexciting activities, and long-time training may cause fatigue and reduce the training effect. This study proposes a wearable monitoring device for upper limb rehabilitation by integrating electrocardiogram and electromyogram (ECG/EMG) sensors and using data acquisition boards to obtain accurate signals during robotic glove assisting training. The collected ECG/EMG signals were filtered, amplified, digitized, and then transmitted to a remote receiver (smart phone or laptop) v

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Meng, Lin, Jun Pang, Ziyao Wang, Rui Xu, and Dong Ming. "The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction." Sensors 21, no. 18 (2021): 6291. http://dx.doi.org/10.3390/s21186291.

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Locomotion recognition and prediction is essential for real-time human–machine interactive control. The integration of electromyography (EMG) with mechanical sensors could improve the performance of locomotion recognition. However, the potential of EMG in motion prediction is rarely discussed. This paper firstly investigated the effect of surface EMG on the prediction of locomotion while integrated with inertial data. We collected EMG signals of lower limb muscle groups and linear acceleration data of lower limb segments from ten healthy participants in seven locomotion activities. Classificat

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Aarthy, S. L., V. Malathi, Monia Hamdi, Inès Hilali-Jaghdam, Sayed Abdel-Khalek, and Romany F. Mansour. "Recognition of Hand Gesture Using Electromyography Signal: Human-Robot Interaction." Journal of Sensors 2022 (July 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/4718684.

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Recognition of hand gestures has been developed in various research domains and proven to have significant benefits in improving the necessity of human-robot interaction (HRI). The introduction of intelligent statistics knowledge methodologies, such as big data and machine learning, has ushered in a new era of data science and made it easier to classify hand motions accurately using electromyography (EMG) signals. However, the collecting and labelling of the vast dataset enforces a significant workload; resulting in implementations takes a long time. As a result, a unique strategy for combinin

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Farina, Dario, Mauro Fosci, and Roberto Merletti. "Motor unit recruitment strategies investigated by surface EMG variables." Journal of Applied Physiology 92, no. 1 (2002): 235–47. http://dx.doi.org/10.1152/jappl.2002.92.1.235.

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During isometric contractions of increasing strength, motor units (MUs) are recruited by the central nervous system in an orderly manner starting with the smallest, with muscle fibers that usually show the lowest conduction velocity (CV). Theory predicts that the higher the velocity of propagation of the action potential, the higher the power at high frequencies of the detected surface signal. These considerations suggest that the power spectral density of the surface detected electromyogram (EMG) signal may give indications about the MU recruitment process. The purpose of this paper is to inv

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Asogbon, Mojisola Grace, Oluwarotimi Williams Samuel, Yanbing Jiang, et al. "Appropriate Feature Set and Window Parameters Selection for Efficient Motion Intent Characterization towards Intelligently Smart EMG-PR System." Symmetry 12, no. 10 (2020): 1710. http://dx.doi.org/10.3390/sym12101710.

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The constantly rising number of limb stroke survivors and amputees has motivated the development of intelligent prosthetic/rehabilitation devices for their arm function restoration. The device often integrates a pattern recognition (PR) algorithm that decodes amputees’ limb movement intent from electromyogram (EMG) signals, characterized by neural information and symmetric distribution. However, the control performance of the prostheses mostly rely on the interrelations among multiple dynamic factors of feature set, windowing parameters, and signal conditioning that have rarely been jointly in

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Corcos, D. M., G. C. Agarwal, B. P. Flaherty, and G. L. Gottlieb. "Organizing principles for single-joint movements. IV. Implications for isometric contractions." Journal of Neurophysiology 64, no. 3 (1990): 1033–42. http://dx.doi.org/10.1152/jn.1990.64.3.1033.

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1. Normal human subjects made isometric pulse and step contractions about the elbow to visually defined target torques of different amplitudes and at different rates. We measured joint torque and electromyograms (EMG) from two agonist and two antagonist muscles. 2. When the task specification requires that the subject explicitly alter the rate at which torque is increased, the rates of rise of the agonist and antagonist EMG bursts covary with the rate of rise of the torque. For pulses of torque the duration of motoneuron excitation varies with the duration of the task-defined contractile event

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CHIOU, YING-HAN, JER-JUNN LUH, SHIH-CHING CHEN, JIN-SHIN LAI, and TE-SON KUO. "RESIDUAL CAPABILITIES OF HEMIPLEGIC PATIENTS TO RESTORE HAND FUNCTIONS VIA A NON-INVASIVE FUNCTIONAL ELECTRICAL STIMULATION SYSTEM." Biomedical Engineering: Applications, Basis and Communications 18, no. 05 (2006): 255–63. http://dx.doi.org/10.4015/s1016237206000397.

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Control strategies are the chief attraction in the field of rehabilitation engineering, and especially in a functional electrical stimulation (FES) system, a reliable control method is important for paralyzed patients to restore lost their functions. In this paper, we have presented a demonstration of the control strategy, which is based on the patient-driven loop, used in a non-invasive FES system for hand function restoration. With the patient-driven loop control, hemiplegic patients could use their residual capabilities, such as shoulder movements in their sound extremities, the myoelectric

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Huang, Subing, Xiaoyu Guo, Jodie J. Xie, et al. "Rectified Latent Variable Model-Based EMG Factorization of Inhibitory Muscle Synergy Components Related to Aging, Expertise and Force–Tempo Variations." Sensors 24, no. 9 (2024): 2820. http://dx.doi.org/10.3390/s24092820.

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Muscle synergy has been widely acknowledged as a possible strategy of neuromotor control, but current research has ignored the potential inhibitory components in muscle synergies. Our study aims to identify and characterize the inhibitory components within motor modules derived from electromyography (EMG), investigate the impact of aging and motor expertise on these components, and better understand the nervous system’s adaptions to varying task demands. We utilized a rectified latent variable model (RLVM) to factorize motor modules with inhibitory components from EMG signals recorded from ten

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Shokouhyan, Seyed Mohammadreza, Mathias Blandeau, Laura Wallard, et al. "Sensorimotor Time Delay Estimation by EMG Signal Processing in People Living with Spinal Cord Injury." Sensors 23, no. 3 (2023): 1132. http://dx.doi.org/10.3390/s23031132.

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Neuro mechanical time delay is inevitable in the sensorimotor control of the body due to sensory, transmission, signal processing and muscle activation delays. In essence, time delay reduces stabilization efficiency, leading to system instability (e.g., falls). For this reason, estimation of time delay in patients such as people living with spinal cord injury (SCI) can help therapists and biomechanics to design more appropriate exercise or assistive technologies in the rehabilitation procedure. In this study, we aim to estimate the muscle onset activation in SCI people by four strategies on EM

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Fu, Zhumu, Aiyun Gao, Xiaohong Wang, and Xiaona Song. "Torque Split Strategy for Parallel Hybrid Electric Vehicles with an Integrated Starter Generator." Discrete Dynamics in Nature and Society 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/793864.

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This paper presents a torque split strategy for parallel hybrid electric vehicles with an integrated starter generator (ISG-PHEV) by using fuzzy logic control. By combining the efficiency map and the optimum torque curve of the internal combustion engine (ICE) with the state of charge (SOC) of the batteries, the torque split strategy is designed, which manages the ICE within its peak efficiency region. Taking the quantified ICE torque, the quantified SOC of the batteries, and the quantified ICE speed as inputs, and regarding the output torque demanded on the ICE as an output, a fuzzy logic con

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Mochammad, Ariyanto, Ismail Rifky, D. Setiawan Joga, and P. Yuandi Elga. "Anthropomorphic transradial myoelectric hand using tendon-spring mechanism." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 537–48. https://doi.org/10.12928/TELKOMNIKA.v17i1.11600.

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In the developing countries, the need for prosthetic hands is increasing. In general, transradial amputee patients use prosthetic hands that are passive like a body-powered prosthesis. This research proposes a low-cost myoelectric prosthetic hand based on 3D printing technology. Hand and finger size were designed based on the average size of human hands in Indonesia. The proposed myoelectric hand employs linear actuator combined with the tendon-spring mechanism. Myoelectric hand was developed with five modes of grip pattern to perform various objects grasping in activity of daily living. Contr

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Jacobs, R., and J. M. Macpherson. "Two functional muscle groupings during postural equilibrium tasks in standing cats." Journal of Neurophysiology 76, no. 4 (1996): 2402–11. http://dx.doi.org/10.1152/jn.1996.76.4.2402.

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1. This study examined the relation between electromyographic (EMG) activation and the contact force and joint torques of the left hindlimb during postural equilibrium tasks in the standing cat. It is the appropriate application of force by the limbs against the support surface that allows the animal to control its center of mass and maintain equilibrium. 2. Cats were trained to stand quietly on a moveable force platform. During quiet stance, the cat was perturbed by a platform translation in each of 12 directions evenly spaced in the horizontal plane. EMG activity of mono- and biarticular thi

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Schulte, Robert V., Erik C. Prinsen, Jaap H. Buurke, and Mannes Poel. "Adaptive Lower Limb Pattern Recognition for Multi-Day Control." Sensors 22, no. 17 (2022): 6351. http://dx.doi.org/10.3390/s22176351.

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Pattern recognition in EMG-based control systems suffer from increase in error rate over time, which could lead to unwanted behavior. This so-called concept drift in myoelectric control systems could be caused by fatigue, sensor replacement and varying skin conditions. To circumvent concept drift, adaptation strategies could be used to retrain a pattern recognition system, which could lead to comparable error rates over multiple days. In this study, we investigated the error rate development over one week and compared three adaptation strategies to reduce the error rate increase. The three ada

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Zhang, Kailun. "Control strategies modeling for robotic exoskeletons facilitating sit-to-stand transitions in geriatric and lower limb impaired." Applied and Computational Engineering 41, no. 1 (2024): 1–10. http://dx.doi.org/10.54254/2755-2721/41/20230702.

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With the growing global aging population, there's been an amplified societal emphasis on preserving the health of the elderly and enhancing their quality of life. In this scenario, robotic exoskeletons have emerged as a cutting-edge solution to assist the elderly and those with lower limb muscle deficiencies in Sit-to-Stand (STS) exercises. These exoskeletons adopt two main approaches: full assistance for those with entirely weakened lower limbs and partial assistance for those with some remaining muscle strength. This article introduces two modeling methods and concepts for these control stra

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Shahid, Talha, Darwin Gouwanda, Surya G. Nurzaman, and Alpha A. Gopalai. "Moving toward Soft Robotics: A Decade Review of the Design of Hand Exoskeletons." Biomimetics 3, no. 3 (2018): 17. http://dx.doi.org/10.3390/biomimetics3030017.

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Soft robotics is a branch of robotics that deals with mechatronics and electromechanical systems primarily made of soft materials. This paper presents a summary of a chronicle study of various soft robotic hand exoskeletons, with different electroencephalography (EEG)- and electromyography (EMG)-based instrumentations and controls, for rehabilitation and assistance in activities of daily living. A total of 45 soft robotic hand exoskeletons are reviewed. The study follows two methodological frameworks: a systematic review and a chronological review of the exoskeletons. The first approach summar

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Hug, François, Nicolas A. Turpin, Antoine Couturier, and Sylvain Dorel. "Consistency of muscle synergies during pedaling across different mechanical constraints." Journal of Neurophysiology 106, no. 1 (2011): 91–103. http://dx.doi.org/10.1152/jn.01096.2010.

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The purpose of the present study was to determine whether muscle synergies are constrained by changes in the mechanics of pedaling. The decomposition algorithm used to identify muscle synergies was based on two components: “muscle synergy vectors,” which represent the relative weighting of each muscle within each synergy, and “synergy activation coefficients,” which represent the relative contribution of muscle synergy to the overall muscle activity pattern. We hypothesized that muscle synergy vectors would remain fixed but that synergy activation coefficients could vary, resulting in observed

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Kiran, Kasi Venkata, and T. Srinivasa Rao. "Routing mechanism ensuring congestion free communication in wireless sensor networks enabled by internet of things for applications in smart healthcare." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 3 (2025): 2874. https://doi.org/10.11591/ijece.v15i3.pp2874-2887.

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Recently, the architecture of internet of things (IoT) has been applied towards gathering physical, biological, and dynamic signs of the patients within consumer-oriented electronic-health or health services. In these healthcare systems, various therapeutic sensors are placed on patients to monitor vital signs. However, the process of collecting data in IoT-enabled wireless sensor networks (WSNs) often faces congestion issues, resulting in packet loss, reduced reliability, and decreased throughput. To tackle this challenge, this proposed paper recommends a distributed congestion control algori

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Ahmed, Muhammad Hannan, Jiazheng Chai, Shingo Shimoda, and Mitsuhiro Hayashibe. "Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion." Sensors 23, no. 9 (2023): 4188. http://dx.doi.org/10.3390/s23094188.

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Transhumeral amputees experience considerable difficulties with controlling a multifunctional prosthesis (powered hand, wrist, and elbow) due to the lack of available muscles to provide electromyographic (EMG) signals. The residual limb motion strategy has become a popular alternative for transhumeral prosthesis control. It provides an intuitive way to estimate the motion of the prosthesis based on the residual shoulder motion, especially for target reaching tasks. Conventionally, a predictive model, typically an artificial neural network (ANN), is directly trained and relied upon to map the s

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Omofuma, Isirame, Victor Santamaria, Xupeng Ai, and Sunil Agrawal. "Training Postural Balance Control with Pelvic Force Field at the Boundary of Stability." Bioengineering 10, no. 12 (2023): 1398. http://dx.doi.org/10.3390/bioengineering10121398.

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This study characterizes the effects of a postural training program on balance and muscle control strategies in a virtual reality (VR) environment. The Robotic Upright Stand Trainer (RobUST), which applies perturbative forces on the trunk and assistive forces on the pelvis, was used to deliver perturbation-based balance training (PBT) in a sample of 10 healthy participants. The VR task consisted of catching, aiming, and throwing a ball at a target. All participants received trunk perturbations during the VR task with forces tailored to the participant’s maximum tolerance. A subgroup of these p

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Henry, Sharon M., Joyce Fung, and Fay B. Horak. "Effect of Stance Width on Multidirectional Postural Responses." Journal of Neurophysiology 85, no. 2 (2001): 559–70. http://dx.doi.org/10.1152/jn.2001.85.2.559.

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The effect of stance width on postural responses to 12 different directions of surface translations was examined. Postural responses were characterized by recording 11 lower limb and trunk muscles, body kinematics, and forces exerted under each foot of 7 healthy subjects while they were subjected to horizontal surface translations in 12 different, randomly presented directions. A quasi-static approach of force analysis was done, examining force integrals in three different epochs (background, passive, and active periods). The latency and amplitude of muscle responses were quantified for each d

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Weeks, D. L., M. P. Aubert, A. G. Feldman, and M. F. Levin. "One-trial adaptation of movement to changes in load." Journal of Neurophysiology 75, no. 1 (1996): 60–74. http://dx.doi.org/10.1152/jn.1996.75.1.60.

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1. We analyzed the rapid adaptation of elbow movement to unexpected changes in external load conditions at the elbow joint. The experimental approach was based on the lambda model, which defines control variables (CVs) setting the positional frames of reference for recruitment of flexor and extensor motoneurons. CVs may be specified by the nervous system independently of the current values of output variable such as electromyographic (EMG) activity, muscle torques, and kinematics. The CV R specifies the referent joint angle (R) at which the transition of flexor to extensor activity or vice ver

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Ahmed, Muhammad Hassaan, Jacques-Ezechiel N'Guessan, Ranjan Das, Matthew Leineweber, and Sachin Goyal. "Simplified Cost Functions Meet Advanced Muscle Models to Streamline Muscle Force Estimation." BioMed 4, no. 3 (2024): 350–65. http://dx.doi.org/10.3390/biomed4030028.

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Background/ Objectives: This study explores an optimization-based strategy for muscle force estimation by employing simplified cost functions integrated with physiologically relevant muscle models. Methods: Considering elbow flexion as a case study, we employ an inverse-dynamics approach to estimate muscle forces for the biceps brachii, brachialis, and brachioradialis, utilizing different combinations of cost functions and muscle constitutive models. Muscle force generation is modeled by accounting for active and passive contractile behavior to varying degrees using Hill-type models. In total,

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Stasica, Maximilian, Celine Honekamp, Kai Streiling, Olivier Penacchio, Loes van Dam, and André Seyfarth. "Walking on Virtual Surface Patterns Leads to Changed Control Strategies." Sensors 24, no. 16 (2024): 5242. http://dx.doi.org/10.3390/s24165242.

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Inclusive design does not stop at removing physical obstacles such as staircases. It also involves identifying architectural features that impose sensory burdens, such as repetitive visual patterns that are known to potentially cause dizziness or visual discomfort. In order to assess their influence on human gait and its stability, three repetitive patterns—random dots, repetitive stripes, and repetitive waves (Lisbon pattern)—were displayed in a coloured and greyscale variant in a virtual reality (VR) environment. The movements of eight participants were recorded using a motion capture system

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Zhang, Leiyu, Zhenxing Jiao, Yandong He, and Peng Su. "Ergonomic Design and Performance Evaluation of H-Suit for Human Walking." Micromachines 13, no. 6 (2022): 825. http://dx.doi.org/10.3390/mi13060825.

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A soft exoskeleton for the hip flexion, named H-Suit, is developed to improve the walking endurance of lower limbs, delay muscle fatigue and reduce the activation level of hip flexors. Based on the kinematics and biomechanics of the hip joints, the ergonomic design of the H-Suit system is clearly presented and the prototype was developed. The profile of the auxiliary forces is planned in the auxiliary range where the forces start at the minimum hip angle, reach the maximum (120 N) and end at 90% of each gait cycle. The desired displacements of the traction unit which consist of the natural and

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Liu, Xin, Yongling Chang, Su Young Lee, Jeong Hyun Lee, and Chansol Hurr. "Local Passive Warming Administered During the Transition Phase Impairs Subsequent Isokinetic Exercise Performance." Exercise Science 31, no. 2 (2022): 247–56. http://dx.doi.org/10.15857/ksep.2022.00031.

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PURPOSE: Performing a warm-up prior to a sports competition is essential for preventing injuries and maximizing subsequent performance. Passive warming has therefore received attention because it can effectively maintain an elevated muscle temperature (T<sub>m</sub>) after a warm-up. The present study aimed to investigate the effects of local passive warming (LPW) administered during the transition phase between active warm-up and isokinetic exercises.METHODS: Eleven healthy men participated in this randomized crossover study. During the 30-minute transition period, a customized wa

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Zhvansky, Dmitry S., Francesca Sylos-Labini, Arthur Dewolf, et al. "Evaluation of Spatiotemporal Patterns of the Spinal Muscle Coordination Output during Walking in the Exoskeleton." Sensors 22, no. 15 (2022): 5708. http://dx.doi.org/10.3390/s22155708.

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Recent advances in the performance and evaluation of walking in exoskeletons use various assessments based on kinematic/kinetic measurements. While such variables provide general characteristics of gait performance, only limited conclusions can be made about the neural control strategies. Moreover, some kinematic or kinetic parameters are a consequence of the control implemented on the exoskeleton. Therefore, standard indicators based on kinematic variables have limitations and need to be complemented by performance measures of muscle coordination and control strategy. Knowledge about what hap

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Stäuber, F., A. Brunner, D. Czepa, et al. "Altersabhängige Ansteuerung der Muskulatur im Stand bei Patienten mit Hämophilie." Hämostaseologie 34, S 01 (2014): S36—S42. http://dx.doi.org/10.5482/hamo-14-02-0015.

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SummaryThe haemophilic arthropathy affects the function of the knee joint muscles. The aim of this study was to investigate the myoelectrical signal of knee joint muscles in different age stages during upright standing. Surface EMG (SEMG) amplitudes of quadriceps, hamstrings and gastrocnemii were measured in 191 patients with severe haemophilia A (n=164) and B (n=27) while standing on an even surface. After an age-based classification of patients into the subgroups HA: 17–29 (n = 37), HB: 30–39 (n = 50), HC: 40–49 (n = 61), HD: 50–70 in years (n = 43) the clinical WFH score for the ankle and k

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Iqbal, Jawaid, Muhammad Adnan, Younas Khan, et al. "Designing a Healthcare-Enabled Software-Defined Wireless Body Area Network Architecture for Secure Medical Data and Efficient Diagnosis." Journal of Healthcare Engineering 2022 (February 4, 2022): 1–19. http://dx.doi.org/10.1155/2022/9210761.

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In the struggle against population aging, chronic diseases, and a lack of medical facilities, the emergence of Wireless Body Area Networks (WBANs) technology has ushered in optimism. WBANs use a variety of wearable and implanted biosensor nodes to constantly monitor physiological parameters such as oxygen saturation (SpO2), electrocardiogram (ECG), electromyography (EMG), electroencephalogram (EEG), blood pressure, respiration rate, body temperature, and pulse rate. Importantly, these vital signs are communicated to a doctor over a public network, who can diagnose ailments remotely and efficie

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Ghofrani, Masoud, Manijeh Soleimanifar, and Saeed Talebian. "Control of trunk muscles activity while manual material handling symmetrically and asymmetrically, Based on Motor control strategy." Pakistan Journal of Medical and Health Sciences 15, no. 6 (2021): 1736–40. http://dx.doi.org/10.53350/pjmhs211561736.

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[Purpose] Although lifting tasks has been recognized as a primary risk factor in low back pain, the concept of lifting asymmetry is relatively new subject. To address trunk function, biomechanical studies generally measure trunk muscle activity using surface electromyography (EMG). But so far, magnitude and similarity index (SI) obtained from EMG have not been studied as indicators of the motor control during lifting task. So, the purpose of this study is to compare the trunk muscles magnitude and SI during symmetric and asymmetric lifting. [Subjects and Methods] A total of 20 healthy male wit

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Ting, Lena H., Steven A. Kautz, David A. Brown, and Felix E. Zajac. "Phase Reversal of Biomechanical Functions and Muscle Activity in Backward Pedaling." Journal of Neurophysiology 81, no. 2 (1999): 544–51. http://dx.doi.org/10.1152/jn.1999.81.2.544.

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Phase reversal of biomechanical functions and muscle activity in backward pedaling. Computer simulations of pedaling have shown that a wide range of pedaling tasks can be performed if each limb has the capability of executing six biomechanical functions, which are arranged into three pairs of alternating antagonistic functions. An Ext/Flex pair accelerates the limb into extension or flexion, a Plant/Dorsi pair accelerates the foot into plantarflexion or dorsiflexion, and an Ant/Post pair accelerates the foot anteriorly or posteriorly relative to the pelvis. Because each biomechanical function

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Zandiyeh, Payam, Lauren R. Parola, Meggin Q. Costa, et al. "Long-Term Bilateral Neuromuscular Function and Knee Osteoarthritis after Anterior Cruciate Ligament Reconstruction." Bioengineering 10, no. 7 (2023): 812. http://dx.doi.org/10.3390/bioengineering10070812.

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Neuromuscular function is thought to contribute to posttraumatic osteoarthritis (PTOA) risk in anterior cruciate ligament (ACL)-reconstructed (ACLR) patients, but sensitive and easy-to-use tools are needed to discern whether complex muscle activation strategies are beneficial or maladaptive. Using an electromyography (EMG) signal analysis technique coupled with a machine learning approach, we sought to: (1) identify whether ACLR muscle activity patterns differed from those of healthy controls, and (2) explore which combination of patient outcome measures (thigh muscle girth, knee laxity, hop d

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sbargoud, Fazia, Mohamed Djeha, Mohamed Guiatni, and Noureddine Ababou. "HYBRID CLASSIFICATION STRATEGY OF EMG SIGNALS FOR ROBOTIC HAND CONTROL." Biomedical Engineering: Applications, Basis and Communications, March 16, 2021, 2150015. http://dx.doi.org/10.4015/s1016237221500150.

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Among the different bio-signals modalities, Electromyographic signal (EMG) has been one of the frequently used signals in the bio-robotics applications field. This is due to the fact that the EMG reflects directly the muscle activity of the user following the human motion intention. Consequently, the decoding of this intention is an essential task for controlling devices such as prosthetic hands and exoskeletons, based on EMG signals. This paper deals with the processing of EMG signals of the forearm muscles, in order to control two degrees of freedom (2 DoFs) robotic hand. The main contributi

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Ke, Ang, Jian Huang, Jing Wang, and Jiping He. "Improving the Robustness of Human-Machine Interactive Control for Myoelectric Prosthetic Hand During Arm Position Changing." Frontiers in Neurorobotics 16 (June 7, 2022). http://dx.doi.org/10.3389/fnbot.2022.853773.

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Robust classification of natural hand grasp type based on electromyography (EMG) still has some shortcomings in the practical prosthetic hand control, owing to the influence of dynamic arm position changing during hand actions. This study provided a framework for robust hand grasp type classification during dynamic arm position changes, improving both the “hardware” and “algorithm” components. In the hardware aspect, co-located synchronous EMG and force myography (FMG) signals are adopted as the multi-modal strategy. In the algorithm aspect, a sequential decision algorithm is proposed by combi

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Alkhafaf, Omer Saad, Mousa K. Wali, and Ali H. Al-Timemy. "Improved hand prostheses control for transradial amputees based on hybrid of voice recognition and electromyography." International Journal of Artificial Organs, December 7, 2020, 039139882097665. http://dx.doi.org/10.1177/0391398820976656.

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The control of prostheses and their complexities is one of the greatest challenges limiting wide amputees’ use of upper limb prostheses. The main challenges include the difficulty of extracting signals for controlling the prostheses, limited number of degrees of freedom (DoF), and cost-prohibitive for complex controlling systems. In this study, a real-time hybrid control system, based on electromyography (EMG) and voice commands (VC) is designed to render the prosthesis more dexterous with the ability to accomplish amputee’s daily activities proficiently. The voice and EMG systems were combine

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Ay, Ayse Nur, and Mustafa Zahid Yildiz. "The effect of attentional focusing strategies on EMG-based classification." Biomedical Engineering / Biomedizinische Technik, October 16, 2020. http://dx.doi.org/10.1515/bmt-2020-0082.

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AbstractEarlier studies showed that external focusing enhances motor performance and reduces muscular activity compare to internal one. However, low activity is not always desired especially in case of Human-Machine Interface applications. This study is based on investigating the effects of attentional focusing preferences on EMG based control systems. For the EMG measurements via biceps brachii muscles, 35 subjects were asked to perform weight-lifting under control, external and internal focus conditions. The difference between external and internal focusing was found to be significant and in

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Leone, Francesca, Cosimo Gentile, Francesca Cordella, Emanuele Gruppioni, Eugenio Guglielmelli, and Loredana Zollo. "A parallel classification strategy to simultaneous control elbow, wrist, and hand movements." Journal of NeuroEngineering and Rehabilitation 19, no. 1 (2022). http://dx.doi.org/10.1186/s12984-022-00982-z.

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Abstract Background In the field of myoelectric control systems, pattern recognition (PR) algorithms have become always more interesting for predicting complex electromyography patterns involving movements with more than 2 Degrees of Freedom (DoFs). The majority of classification strategies, used for the prosthetic control, are based on single, hierarchical and parallel linear discriminant analysis (LDA) classifiers able to discriminate up to 19 wrist/hand gestures (in the 3-DoFs case), considering both combined and discrete motions. However, these strategies were introduced to simultaneously

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Yihun, Yimesker, Visharath Adhikari, Amirhossein Majidirad, and Jaydip Desai. "Task-Based Knee Rehabilitation With Assist-as-Needed Control Strategy and Recovery Tracking System." Journal of Engineering and Science in Medical Diagnostics and Therapy 3, no. 2 (2020). http://dx.doi.org/10.1115/1.4046400.

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Abstract This research aims to design and implement a novel task-based knee rehabilitation strategy through kinematic synthesis, assist-as-needed control strategy, and recovery tracking system. Experimental kinematic data collected through motion capture system are utilized as an input to the mechanism synthesis procedure. Parallel mechanisms with single degree-of-freedom are considered to generate the complex three-dimensional (3D) motions of the lower leg. An exact workspace synthesis approach is utilized, in which the implicit description of the workspace is made to be a function of the str

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