high-density surface electromyography

高密度表面肌电图
  • 文章类型: Journal Article
    目的:促进患者客观全面的运动功能评估的发展,基于高密度表面肌电图(HD-sEMG),这项研究调查了与上肢运动功能障碍相关的神经肌肉活动的时空变化。
    方法:纳入单侧上肢运动功能障碍患者和健康对照者。HD-sEMG是在他们进行八次手部和腕部运动时从双臂收集的。从HD-sEMG中提取肌肉协同作用。提出了双侧上肢协同作用的对称性和运动之间的协同作用差异作为空间指标,以衡量协同作用空间分布的变化。此外,作为时间特征,提出了双侧上肢激活系数的相关性来描述中枢神经系统(CNS)的协调控制。比较患者和健康受试者之间的所有时间和空间指标。
    结果:患者双侧上肢协同空间分布的对称性和双侧上肢活化系数的相关性显着降低(p<0.05)。运动功能障碍的患者还显示出运动之间的协同相似性增加,表明肌肉协同作用的空间分布改变。
    结论:这些发现为与运动功能障碍相关的特定模式提供了有价值的见解,告知运动功能评估,并指导神经紊乱患者的针对性干预和康复策略。
    Objective.To promote the development of objective and comprehensive motion function assessment for patients, based on high-density surface electromyography (HD-sEMG), this study investigates the temporal and spatial variations of neuromuscular activities related to upper limb motor dysfunction.Approach.Patients with unilateral upper limb motor dysfunction and healthy controls were enrolled in the study. HD-sEMG was collected from both arms while they were performing eight hand and wrist movements. Muscle synergies were extracted from the HD-sEMG. Symmetry of bilateral upper limb synergies and synergy differences between motions were proposed as spatial indicators to measure alterations in synergy spatial distribution. Additionally, as a temporal characteristic, the correlation of bilateral upper limb activation coefficient was proposed to describe the coordination control of the central nervous system. All temporal and spatial indicators were compared between patients and healthy subjects.Main results.The patients showed a significant decrease (p< 0.05) in the symmetry of bilateral upper limb synergy spatial distribution and correlation of bilateral upper limb activation coefficient. Patients with motor dysfunction also showed an increase in synergy similarity between motions, indicating altered spatial distribution of muscle synergies.Significance.These findings provide valuable insights into specific patterns associated with motor dysfunction, informing motor function assessment, and guiding targeted interventions and rehabilitation strategies for neurologically disordered patients.
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  • 文章类型: Journal Article
    已观察到机械振动刺激(MVS)的有益效果,这主要归因于强直振动反射(TVR)。据报道,TVR在局部施加的振动期间会引起同步的电机单元激活。在称为功能力刺激(FFS)的新型振动系统中也观察到类似的效果。然而,由于在先前的分析中使用了全局肌电图(EMG)特征,因此对TVR在FFS中的表现表示怀疑。我们的研究旨在通过分析从高密度表面肌电图解码的运动单元尖峰序列,研究FFS对人类肱二头肌运动单元放电模式的影响。
    18名健康受试者自愿参加了不同幅度和频率的FFS训练。从肱二头肌记录了128个通道表面EMG,然后在运动伪影去除后进行解码。提取放电时间,并计算不同运动单位尖峰序列之间的相干性,以量化同步激活。
    在所有FFS试验中观察到振动周期和/或其整数倍内的显着同步,随着FFS振幅的增加而增加。我们的结果揭示了FFS涉及的基本生理机制,为将FFS分析和引入临床康复计划提供理论基础。
    UNASSIGNED: Beneficial effects have been observed for mechanical vibration stimulation (MVS), which are mainly attributed to tonic vibration reflex (TVR). TVR is reported to elicit synchronized motor unit activation during locally applied vibration. Similar effects are also observed in a novel vibration system referred to as functional force stimulation (FFS). However, the manifestation of TVR in FFS is doubted due to the use of global electromyography (EMG) features in previous analysis. Our study aims to investigate the effects of FFS on motor unit discharge patterns of the human biceps brachii by analyzing the motor unit spike trains decoded from the high-density surface EMG.
    UNASSIGNED: Eighteen healthy subjects volunteered in FFS training with different amplitudes and frequencies. One hundred and twenty-eight channel surface EMG was recorded from the biceps brachii and then decoded after motion-artifact removal. The discharge timings were extracted and the coherence between different motor unit spike trains was calculated to quantify synchronized activation.
    UNASSIGNED: Significant synchronization within the vibration cycle and/or its integer multiples is observed for all FFS trials, which increases with increased FFS amplitude. Our results reveal the basic physiological mechanism involved in FFS, providing a theoretical foundation for analyzing and introducing FFS into clinical rehabilitation programs.
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  • 文章类型: Journal Article
    目的:我们的研究旨在通过比较辐照后患者和健康个体之间HD-sEMG的定量参数和地形图,探讨使用高密度表面肌电图(HD-sEMG)进行吞咽评估的可行性。
    方法:招募10名健康志愿者和10名放疗后鼻咽癌患者。记录了96通道HD-sEMG,尽管每个参与者消耗的食物浓度不同(稀薄和稠的液体,果泥,粥,和软米饭)。从HD-sEMG信号的均方根(RMS)生成动态形貌,以说明吞咽过程中的前颈肌功能。通过包括平均RMS在内的客观参数评估肌肉的平均功率和吞咽模式的对称性。左/右能量比,左/右能量差。
    结果:研究显示,吞咽困难患者和健康个体的吞咽模式不同。患者组的平均RMS值高于健康组,但差异无统计学意义。吞咽困难患者表现出非对称模式。
    结论:HD-sEMG是一种有前途的技术,可用于定量评估吞咽困难患者颈部肌肉的平均功率和吞咽活动的对称性。
    方法:三级喉镜,2023年。
    Our study aimed to investigate the feasibility of using high-density surface electromyography (HD-sEMG) for swallowing assessment by comparing the quantitative parameters and topographic patterns of HD-sEMG between post-irradiated patients and healthy individuals.
    Ten healthy volunteers and ten post-irradiated nasopharyngeal carcinoma patients were recruited. 96-channel HD-sEMG was recorded although each participant consumed different consistencies of food (thin and thick liquid, puree, congee, and soft rice). Dynamic topography was generated from the root mean square (RMS) of the HD-sEMG signals to illustrate the anterior neck muscle function in the swallowing process. The averaged power of muscles and the symmetry of swallowing patterns were assessed by objective parameters including average RMS, Left/Right Energy Ratio, and Left/Right Energy Difference.
    The study showed different swallowing patterns between patients with dysphagia and healthy individuals. The mean RMS values were higher in the patient group compared to the healthy group, but the difference was not statistically significant. Asymmetrical patterns were shown in patients with dysphagia.
    HD-sEMG is a promising technique that could be used to quantitatively evaluate the average power of neck muscles and the symmetry of swallowing activities in patients with swallowing difficulties.
    Level 3 Laryngoscope, 133:2920-2928, 2023.
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  • 文章类型: Journal Article
    Objective.这项研究旨在表征慢性中风幸存者痉挛和非痉挛的双侧肱二头肌(BBMs)的运动单位(MU)分布和募集模式。方法。高密度表面肌电图(HD-sEMG)信号在10%的等距肘关节屈曲期间从14名慢性中风受试者的痉挛和非痉挛BBM收集,30%,50%和100%最大自愿收缩(MVCs)。通过结合HD-sEMG分解和生物电源成像,首先将分解的MU的MU神经支配区(MUIZs)定位在痉挛和非痉挛BBM的3D空间中。然后将MU深度定义为局部MUIZ与其在皮肤表面上的正常投影之间的距离,然后将其归一化为每个受试者的手臂半径,并在给定的收缩水平下进行平均。比较了特定手臂侧(内侧)不同收缩水平下的平均MU深度和特定收缩水平(内侧)下的双侧深度。主要结果。分解MU的平均深度随着收缩力的增加而增加,并且在10%与50%之间观察到显着差异(p<0.0001),非痉挛侧10%vs100%(p<0.0001)和30%vs100%MVC(p=0.0017),表明具有较高募集阈值的较大MU位于较深的肌肉区域。相比之下,在痉挛侧没有观察到MU深度的力相关差异,表明随着部队人数的增加,有秩序的招募中断了,或MU神经支配和随后继发于上运动神经元病变的侧支神经支配。侧面间比较表明,在10%(p=0.0048)和100%的力(p=0.0026)下,MU深度差异显着。意义。这项研究是通过结合HD-sEMG记录非侵入性表征慢性中风患者痉挛和非痉挛双侧BBM内MU分布的首次尝试。EMG信号分解和生物电源成像。这项研究的发现促进了我们对人类肌肉神经生理学和中风后神经肌肉改变的理解。它还可以为临床中风后痉挛管理中的肉毒杆菌毒素注射提供重要的MU深度信息。
    Objective.This study aims to characterize the motor units (MUs) distribution and recruitment pattern in the spastic and non-spastic bilateral biceps brachii muscles (BBMs) of chronic stroke survivors.Approach.High-density surface electromyography (HD-sEMG) signals were collected from both spastic and non-spastic BBMs of fourteen chronic stroke subjects during isometric elbow flexion at 10%, 30%, 50% and 100% maximal voluntary contractions (MVCs). By combining HD-sEMG decomposition and bioelectrical source imaging, MU innervation zones (MUIZs) of the decomposed MUs were first localized in the 3D space of spastic and non-spastic BBMs. The MU depth defined as the distance between the localized MUIZ and its normal projection on the skin surface was then normalized to the arm radius of each subject and averaged at given contraction level. The averaged MU depth at different contraction levels on a specific arm side (intra-side) and the bilateral depths under a specific contraction level (inter-side) were compared.Main results.The average depth of decomposed MUs increased with the contraction force and significant differences observed between 10% vs 50% (p< 0.0001), 10% vs 100% (p< 0.0001) and 30% vs 100% MVC (p= 0.0017) on the non-spastic side, indicating that larger MUs with higher recruitment threshold locate in deeper muscle regions. In contrast, no force-related difference in MU depth was observed on the spastic side, suggesting a disruption of orderly recruitment of MUs with increase of force level, or the MU denervation and the subsequent collateral reinnervation secondary to upper motor neuron lesions. Inter-side comparison demonstrated significant MU depth difference at 10% (p= 0.0048) and 100% force effort (p= 0.0026).Significance.This study represents the first effort to non-invasively characterize the MU distribution inside spastic and non-spastic bilateral BBM of chronic stroke patients by combining HD-sEMG recording, EMG signal decomposition and bioelectrical source imaging. The findings of this study advances our understanding regarding the neurophysiology of human muscles and the neuromuscular alterations following stroke. It may also offer important MU depth information for botulinum toxin injection in clinical post-stroke spasticity management.
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  • 文章类型: Journal Article
    Spasticity is a common post-stroke syndrome that imposes significant adverse impacts on patients and caregivers. This study aims to improve the efficiency of botulinum toxin (BoNT) in managing spasticity, by utilizing a three-dimensional innervation zone imaging (3DIZI) technique based on high-density surface electromyography (HD-sEMG) recordings. Stroke subjects were randomly assigned to two groups: the control group ([Formula: see text]) which received standard ultrasound-guided injections, and the experimental group ([Formula: see text]) which received 3DIZI-guided injections. The amount of BoNT given was consistent for all subjects. The Modified Ashworth Scale (MAS), compound muscle action potential (CMAP) and muscle activation volume (MAV) from bilateral biceps brachii muscles were obtained at the baseline, 3 weeks, and 3 months after injection. Intra-group and inter-group comparisons of MAS, CMAP amplitude and MAV were performed. An overall improvement in MAS of spastic elbow flexors was observed during the 3-week visit ([Formula: see text]), yet no statistically significant difference found with intra-group or inter-group analysis. Compared to the baseline, a significant reduction of CMAP amplitude and MAV were observed in the spastic biceps muscles of both groups at 3-week post-injection, and returned to approximate baseline value at 12-week post injection. A significantly higher reduction was found in CMAP amplitude ([Formula: see text]% versus [Formula: see text]%, [Formula: see text]) and MAV ([Formula: see text]% versus [Formula: see text]%, [Formula: see text]) in the experimental group compared to the control group. The study has demonstrated preliminary evidence that precisely directing BoNT to the innervation zones (IZs) localized by 3DIZI leads to a significantly higher treatment efficiency improvement in spasticity management. Results have also shown the feasibility of developing a personalized BoNT injection technique for the optimization of clinical treatment for post-stroke spasticity using proposed 3DIZI technique.
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  • 文章类型: Journal Article
    目的:基于表面肌电图(sEMG)的无声语音识别(SSR)是人机界面的一种有吸引力的非声学模态,可将神经肌肉电生理信号转换为计算机可读的文本消息。说话过程涉及复杂的神经肌肉活动,跨越面部和颈部肌肉的大面积,因此,sEMG电极的位置显著影响SSR系统的性能。然而,以前的大多数研究只使用了相当有限数量的电极,这些电极是根据经验放置的,没有事先的定量分析,导致SSR结果的不确定性和不可靠性。
    方法:在本研究中,提出了高密度sEMG技术来提供关节肌肉活动的完整表示,以便可以系统地探索用于无声语音识别的最佳电极配置。在面部和颈部肌肉上总共放置了120个紧密间隔的电极,以收集高密度的sEMG信号,用于对英语和中文无声的十个数字(0-9)进行分类。采用顺序正向选择算法来探索最佳电极配置。
    结果:结果表明,当选定电极的数量从1增加到120时,分类精度迅速提高并迅速饱和。仅使用十个最佳电极可以实现英语的86%和中文的94%的分类精度,而需要多达40个非优化电极才能获得可比的准确性。此外,最佳选择的电极似乎主要分布在颈部而不是面部区域,英语识别需要更多的电极才能达到相同的精度。
    结论:这项研究的结果可以为开发临床上可行的SSR系统和实施有前途的人机界面方法提供有关电极放置的有用指南,尤其是说话困难的患者。
    OBJECTIVE: Silent speech recognition (SSR) based on surface electromyography (sEMG) is an attractive non-acoustic modality of human-machine interfaces that convert the neuromuscular electrophysiological signals into computer-readable textual messages. The speaking process involves complex neuromuscular activities spanning a large area over the facial and neck muscles, thus the locations of the sEMG electrodes considerably affected the performance of the SSR system. However, most of the previous studies used only a quite limited number of electrodes that were placed empirically without prior quantitative analysis, resulting in uncertainty and unreliability of the SSR outcomes.
    METHODS: In this study, the technique of high-density sEMG was proposed to provide a full representation of the articulatory muscle activities so that the optimal electrode configuration for silent speech recognition could be systemically explored. A total of 120 closely-spaced electrodes were placed on the facial and neck muscles to collect the high-density sEMG signals for classifying ten digits (0-9) silently spoken in both English and Chinese. The sequential forward selection algorithm was adopted to explore the optimal electrodes configurations.
    RESULTS: The results showed that the classification accuracy increased rapidly and became saturated quickly when the number of selected electrodes increased from 1 to 120. Using only ten optimal electrodes could achieve a classification accuracy of 86% for English and 94% for Chinese, whereas as many as 40 non-optimized electrodes were required to obtain comparable accuracies. Also, the optimally selected electrodes seemed to be mostly distributed on the neck instead of the facial region, and more electrodes were required for English recognition to achieve the same accuracy.
    CONCLUSIONS: The findings of this study can provide useful guidelines about electrode placement for developing a clinically feasible SSR system and implementing a promising approach of human-machine interface, especially for patients with speaking difficulties.
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  • 文章类型: Journal Article
    在这项研究中,对两个代表性的多肌肉收缩任务的末端执行器力估计进行了研究:肘部屈曲和手掌按压。目的是确定单个肌肉或肌肉组合是否更适合于末端执行器力估计。从上臂和前臂的四个主要肌肉区域收集高密度表面肌电图(HD-sEMG)信号:肱二头肌(BB),肱肌(BR),肱三头肌(TB),腕臂(BRD),和趾伸肌(EDC)。在肘部屈曲和手掌按压任务中测量了腕部拉力和手掌压力,分别。采用深度信念网络(DBN)建立HD-sEMG与测量力之间的关系。四个主要区域的代表信号,它们被视为力估计模型的输入信号,利用主成分分析(PCA)算法进行HD-sEMG提取,并单独或一起送入DBN。提出了一种称为平均冲击值(MIV)的指标来描述不同肌肉群的优先级,以估算末端执行器力。实验结果表明,在多肌肉等距收缩任务中,具有最高激活程度的优势肌肉可以更有效地跟踪末端执行器力的变化,比肌肉的组合更合适。本研究的主要贡献如下:(1)有效融合来自不同肌肉的激活信息,采用DBN建立HD-sEMG与产生力之间的关系,并实现了高度精确的力估计。(2)基于训练良好的DBN力估计模型,我们提出了一个名为MIV的指标来评估肌肉在估计所产生力方面的优先级.
    In this study, research was carried out on the end-effector force estimation of two representative multi-muscle contraction tasks: elbow flexion and palm-pressing. The aim was to ascertain whether an individual muscle or a combination of muscles is more suitable for the end-effector force estimation. High-density surface electromyography (HD-sEMG) signals were collected from four primary muscle areas of the upper arm and forearm: the biceps brachii (BB), brachialis (BR), triceps brachii (TB), brachioradialis (BRD), and extensor digitorum communis (EDC). The wrist pulling and palm-pressing forces were measured in elbow flexion and palm-pressing tasks, respectively. The deep belief network (DBN) was adopted to establish the relation between HD-sEMG and the measured force. The representative signals of the four primary areas, which were considered as the input signal of the force estimation model, were extracted by HD-sEMG using the principle component analysis (PCA) algorithm, and fed separately or together into the DBN. An index termed mean impact value (MIV) was proposed to describe the priority of different muscle groups for estimating the end-effector force. The experimental results demonstrated that, in multi-muscle isometric contraction tasks, the dominant muscles with the highest activation degree could track variations in the end-effector force more effectively, and are more suitable than a combination of muscles. The main contributions of this research are as follows: (1) To fuse the activation information from different muscles effectively, DBN was adopted to establish the relationship between HD-sEMG and the generated force, and achieved highly accurate force estimation. (2) Based on the well-trained DBN force estimation model, an index termed MIV was presented to evaluate the priority of muscles for estimating the generated force.
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  • 文章类型: Journal Article
    背景:吞咽是一个连续的过程,在不同的肌肉之间具有实质性的相互依存关系,它在我们的日常生活中起着重要的作用。这项研究的目的是提出一种基于高密度表面肌电图(HDsEMG)的新技术,用于评估正常吞咽功能。
    方法:在前颈部放置了总共96个电极,以获取来自12名健康受试者的肌电信号,同时他们正在执行不同的吞咽任务。根据均方根值构建HDsEMG能量图,以可视化吞咽过程中的肌肉活动。不同卷的影响,粘度,利用能量图系统地研究了正常吞咽过程中的头部姿势。
    结果:结果表明,HDsEMG能量图可以提供肌肉电活动的详细时空特性,并可视化与吞咽功能密切相关的肌肉收缩。能量图还显示吞咽时间和努力也明确地受到食团的体积和粘度的影响。当受试者将头转向任一侧时,肌肉活动的集中转移到另一侧。
    结论:所提出的方法可以提供一种替代方法来从生理上评估正常吞咽的动态特征,并且具有提供不同肌肉活动在时间和位置上如何合作的全貌的优点。这项研究的结果表明,HDsEMG技术可能是快速筛查和客观评估吞咽障碍或吞咽困难的有用工具。
    BACKGROUND: Swallowing is a continuous process with substantive interdependencies among different muscles, and it plays a significant role in our daily life. The aim of this study was to propose a novel technique based on high-density surface electromyography (HD sEMG) for the evaluation of normal swallowing functions.
    METHODS: A total of 96 electrodes were placed on the front neck to acquire myoelectric signals from 12 healthy subjects while they were performing different swallowing tasks. HD sEMG energy maps were constructed based on the root mean square values to visualize muscular activities during swallowing. The effects of different volumes, viscosities, and head postures on the normal swallowing process were systemically investigated by using the energy maps.
    RESULTS: The results showed that the HD sEMG energy maps could provide detailed spatial and temporal properties of the muscle electrical activity, and visualize the muscle contractions that closely related to the swallowing function. The energy maps also showed that the swallowing time and effort was also explicitly affected by the volume and viscosity of the bolus. The concentration of the muscular activities shifted to the opposite side when the subjects turned their head to either side.
    CONCLUSIONS: The proposed method could provide an alternative method to physiologically evaluate the dynamic characteristics of normal swallowing and had the advantage of providing a full picture of how different muscle activities cooperate in time and location. The findings from this study suggested that the HD sEMG technique might be a useful tool for fast screening and objective assessment of swallowing disorders or dysphagia.
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