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A surface electromyography controlled steering assistance interface

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Journal of Intelligent and Connected Vehicles 2019年第1期2卷 1-13页

作者： Edric John Cruz Nacpil Rencheng Zheng Tsutomu Kaizuka Kimihiko Nakano Institute of Industrial Science The University of TokyoTokyoJapan

Purpose–Two-handed automobile steering at low vehicle speeds may lead to reduced steering ability at large steering wheel angles and shoulder injury at high steering wheel rates(SWRs).As aﬁrst step toward solving these problems,this study aims,ﬁrstly,to design a surface electromyography(sEMG)controlled steering assistance interface that enables hands-free steering wheel rotation and,secondly,to validate the effect of this rotation on path-following ***/methodology/approach–A total of 24 drivers used biceps brachii sEMG signals to control the steering assistance interface at a maximized SWR in three driving simulator scenarios:U-turn,908 turn and 458 *** comparison,the scenarios were repeated with a slower SWR and a game steering wheel in place of the steering assistance *** path-following accuracy of the steering assistance interface would be validated if it was at least comparable to that of the game steering ***–Overall,the steering assistance interface with a maximized SWR was comparable to a game steering *** the U-turn,908 turn and 458 turn,the sEMG-based human–machine interface(HMI)had median lateral errors of 0.55,0.3 and 0.2 m,respectively,whereas the game steering wheel,respectively,had median lateral errors of 0.7,0.4 and 0.3 *** higher accuracy of the sEMG-based HMI was statistically signiﬁcant in the case of the ***/value–Although production automobiles do not use sEMG-based HMIs,and few studies have proposed sEMG controlled steering,the results of the current study warrant further development of a sEMG-based HMI for an actual automobile.

关键词： Advanced driver assistance systems Human–machine interface Myoelectric control system Path-following Steering assistance system surface electromyography

Real-time surface electromyography in Parkinson's disease patients during exercise-induced muscle fatigue

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Neural Regeneration Research 2011年第14期6卷 1057-1061页

作者： Lei Gao Tong Zhang Xia Gao School of Rehabilitation Medicine Capital Medical University Beijing 100068 China Department of Neurorehabilitation Beijing Charity Hospital China Rehabilitation Research Center Beijing 100068 China Department of Rehabilitation Beijing Hospital Ministry of Pubfic Health Beijing 100730 China

To explore the mechanisms underlying exercise-induced local muscle fatigue in patients with idiopathic Parkinson＇s disease （PD）,we used surface electromyography to record myoelectric signals from the tibialis anterior muscle during isometric contraction-induced fatigue until *** results revealed no significant differences between patients with idiopathic PD and healthy controls in maximum voluntary contraction of the tibialis anterior *** basic characteristics of surface electromyography were also similar between the two *** duration of isometric contraction at 50% maximum voluntary contraction was shortened in PD *** addition,PD patients exhibited a stronger increase in mean square amplitude,but a weaker decrease in median frequency and mean power frequency compared with healthy controls during isometric *** skeletal muscles of PD patients revealed specificity of surface electromyography findings,indicating increased fatigability compared with healthy controls.

关键词： Parkinson's disease physical fatigue ptlysical function exercise-induced muscle fatigue surface electromyography

Influence of different acupoint combinations on immediate effect of surface electromyography of patients with cervical spondylosis

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World Journal of Acupuncture-Moxibustion 2016年第3期26卷 7-13页

作者：杨会生郑启艳杜彦仪吴林刘甜王韩戴文康吴松湖北中医药大学/针灸治未病湖北省协同创新中心中国湖北武汉430061

Objective To observe the influence of different acupoint combinations on immediate effect of surface electromyography of patients with cervical spondylosis, and to explore the interactions and laws among different acupoint combinations. Methods Acupuncture in three kinds of different acupoint combinations was conducted on 90 patients with cervical spondylosis（three groups）： group A [distal point selection group： Kūnlún（昆仑 BL 60） and Hòuxī（后溪 SI 3）]; group B [local point selection group： Fēngchí（风池 GB 20） and Tiānzhù（天柱 BL 10）]; group C（distal and local point selection group： BL 60, SI 3, GB 20 and BL 10）. Self control before and after treatment was adopted to observe the mean value of surface electromyography（SEMG） amplitude, to measure the mean values of integrated electromyography（IEMG） and electromyography root mean square（RMS）, and to calculate the variation rate of electromyography amplitude of trapezius on the affected side of patients before and after acupuncture. The differences of influences of different acupoint combinations on immediate effect of surface electromyography were compared intra-group, and the differences among the three groups after acupuncture were also compared. Results According to the intragroup comparison before and after acupuncture, the differences of mean value of electromyography amplitude, variation rate of electromyography amplitude, IEMG and RMS were both statistically significant（all P〈0.05）. According to the inter-group comparison after acupuncture, the mean value of electromyography amplitude, variation rate of electromyography amplitude, IEMG and RMS varied in different degrees, however, the differences were not significant（all P〉0.05）; there was no significant difference in the total effective rate among the three groups（P〉0.05）. Conclusion Acupuncture treatment in different acupoint combinations can increase IEMG and RMS and reduce mean value of electromyography amplitude and variation rate of electromyography amplitude, enh

关键词： acupoint combination cervical spondylosis surface electromyography

Denoising surface electromyography Signals Based on Complementary Ensemble Empirical-Mode Decomposition and Multi-Scale Entropy

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Denoising Surface Electromyography Signals Based on Compleme...

An Interfacial Gel Electrode Patch with Tunable Hydrogen Bond Network for Electromyographic Sensing and Discrimination

第40届中国控制会议

作者： Rennong Wang Juan Zhao Zhentao Liu Feng Wang Jinhua She Graduate School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

surface electromyography（sEMG） can capture muscle activity and motor function,which is considered an effective tool for assessing local muscle *** to the complex environment and individual differences,the collected sEMG signals contain lots of noising information.A novel method is devised to effectively solve the problem of sEMG denoising based on complementary ensemble empirical mode decomposition（CEEMD） and multi-scale entropy（MSEn）.The method uses the concept of MSEn and analyzes the feature trend of MSEn of intrinsic mode functions（IMFs） obtained by *** method adaptively determines the main components of IMFs according to the complexity of sEMG on the time scale,avoiding insufficient selection based on *** experiments verified the effectiveness of the method.

关键词： surface electromyography complementary ensemble empirical mode decomposition multi-scale entropy data processing

来源： cnki会议评论

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CCS Chemistry 2024年第2期6卷 450-464页

作者： Jianliang Li Zhihao Liu Yongtao Tang Jiabao Xian Chaofan He Hao Wu Mingjie Liu Fengyu Li College of Chemistry and Materials Science Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and ApplicationsSu Bingtian Center for Speed Research and TrainingJinan UniversityGuangzhou 510632 School of Chemistry Beihang UniversityBeijing 100191

The sensitivity and fidelity of surface electromyography(sEMG)signal monitoring is critical for muscle status and fatigue assessment,prosthetic control,and gesture ***,the incompatible skin-electrode interface and complex electrophysiological environment restrict the sensitive acquisition and accurate analysis of sEMG *** on the impedance of the skin-electrode interface issue,we developed an interfacial gel electrode patch with a tunable hydrogen bond network to simultaneously achieve a conformal interface,suitable adhesion,and high conductivity for sEMG signal *** exploiting hydroxyethylidene diphosphonic acid(HEDP)and 2-hydroxyphosphono-acetic acid(HPAA)as hydrogen bonding regulators were introduced into the polyvinyl alcohol(PVA)-based hydrogel network to regulate the hydrogen bond cross-linking *** a result,the balance of elastic modulus,adhesion,and electrical conductivity of PVA-HEDP-HPAA(PHH)hydrogel are *** reliable electrodeskin interface is manipulated to achieve conformal contact by matching the elastic modulus,reducing the gap of electrode-skin interface by adhesion,and promoting ion and electron conduction by electrical *** PHH electrode patches exhibit a lower interfacial impedance(12.56 kΩ)and a signal-to-noise ratio of 38.09±1.28 dB for accurate analysis of muscle strength and evaluation of the fatigue *** the assistance of the artificial neural network algorithm,seven gestures can be recognized with 100%prediction *** interfacial gel electrode patch contributes a bio-matching electrophysiological platform for prosthetic control,human–machine interaction,and clinical or athletic auxiliary monitoring.

关键词： hydrogel electrode hydrogen bond network surface electromyography muscle fatigue artificial neural network gesture recognition

Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural Regeneration Research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina Department of Rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

Three-dimensional MXene/carbon nanotube composite electrodes in flexible 64-channel arrays for noninvasive electromyography signal acquisition

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Science China Materials 2024年第9期67卷 2977-2984页

作者： Lian Cheng Aiying Guo Jun Li Mengjiao Li Qiang Lei Wen Xu Xiaolin Guo Jianhua Zhang School of Microelectronics Shanghai UniversityShanghai201800China Key Laboratory of Advanced Display and System Applications Ministry of EducationShanghai UniversityShanghai200072China

Non-invasive surface electromyography(sEMG)electrodes have vast potential in fields such as healthcare,human-computer interaction,and entertainment,providing diverse information related to electromyographic ***-invasive sEMG electrodes reduce user risks but gather sEMG signals of lower quality compared to invasive ***,various advanced electrode materials have been developed for detecting physiological electrical signals,but the majority of them are single channel ***,we report 64-channel three-dimensional(3D)Ti_(3)C_(2)MXene/CNT composite electrodes fabricated using bonding-driven self-assembly *** electrodes are characterized by low skin-electrode contact impedance and a high signal-to-noise ratio(SNR)for collection of EMG *** electrode arrays exhibit remarkable flexibility,conforming seamlessly to the skin’s ***,the skin-electrode contact impedance of 3D Ti_(3)C_(2)MXene/CNT electrodes decreases by 10-fold compared to Ag/AgCl gel electrodes at a frequency of 100 ***,when collecting sEMG signals from the arm,the prepared Ti_(3)C_(2)MXene/CNT electrodes exhibit lower baseline noise and higher SNR compared to Ag/AgCl gel ***,Ti_(3)C_(2)MXene/CNT electrodes can collect sEMG signals of different hand gestures,while maintaining a high SNR(∼25 dB).By combining machine learning,sEMG signals from different gestures can be identified with a recognition rate exceeding 90%.The exceptional performance and scalability of these 3D Ti_(3)C_(2)MXene/CNT electrodes indicate a promising future for shaping electronic skin and wearable device technologies.

关键词： electrodes surface electromyography skin-contact impedance Ti_(3)C_(2)MXenes CNTs

Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics

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Digital Communications and Networks 2022年第2期8卷 162-173页

作者： Wafa Batayneh Enas Abdulhay Mohammad Alothman Jordan University of Science and Technology Mechanical Engineering DepartmentIrbid22110 Jordan Jordan University of Science and Technology Biomedical Engineering DepartmentIrbid22110 Jordan

surface electromyography(sEMG)plays a key role in many applications such as control of Human-Machine Interfaces(HMI)and neuromusculoskeletal *** has strongly nonlinear relations to joint kinematics and reflects the subjects’intention in moving their *** relations have been traditionally examined by either integrated biomechanics and multi-body dynamics or gesture-based classification ***,these methods have drawbacks that limit their *** from them,joint kinematics can be continuously reconstructed from sEMG via estimation approaches,for instance,the Artificial Neural Networks(ANNs).The Comparison of different ANNs used in different studies is difficult,and in many cases,*** current study focuses on fairly evaluating four types of ANN over the same dataset and conditions in proportional and simultaneous estimation of 15 hand joint angles from 10 sEMG *** presented ANNs are Feedforward,Cascade-Forward,Radial Basis Function(RBFNN),and Generalized Regression(GRNN).Each ANN is applied to its special parametric *** the methods efficiently solved the regression problem of the complex multi-input multi-output *** RBFNN has the best performance over the others with a 79.80%mean correlation coefficient over all joints,and its accuracy reaches as high as 92.67%in some ***,the highest accuracy over individual joints is 93.46%,which is achieved via the *** good accuracy suggests that the proposed approaches can be used as alternatives to the previously adopted ones and can be employed effectively to synchronously control multi-degrees of freedom HMI and for general multi-joint kinematics estimation purposes.

关键词： surface electromyography Kinematics estimation Artificial neural networks

Channel selection against electrode shift enables robust myoelectric control without retraining

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Science China(Technological Sciences) 2021年第8期64卷 1653-1662页

作者： LV Bo HE JiaYuan SHENG XinJun DING Han ZHU XiangYang State Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai200240China Department of Systems Design Engineering Faculty of EngineeringUniversity of WaterlooWaterlooN2L 3G1Canada

Myoelectric controlled interfaces driven by muscle activities have achieved good performance in ideal conditions and showed many potential medical-related and industrial ***,in practical applications,the performance could be drastically degraded due to the electrode(sensor)shift,which is inevitable in donning and doffing the *** this study,we presented a novel channel selection method against electrode shift for robust pattern-recognition based myoelectric *** proposed method was evaluated on twenty-four subjects,including twenty-two able-bodied subjects and two amputees,and compared with two traditional channel selection methods,i.e.,uniform selection(UNI)and sequential feature selection(SFS).We demonstrated that the offline error rates of the proposed method were significantly lower than those of the other two methods(P<0.05),and its online performance in shift conditions was comparable to that in ideal *** outcomes benefit the practical applications of robust myoelectric controlled interfaces.

关键词： myoelectric control high-density electrodes channel selection electrode shift surface electromyography