Journal of Electromyography and Kinesiology最新文献

Sex-specific effects of fatigue on hamstrings and quadriceps electromyography of female and male cyclists 疲劳对男女骑自行车者腘绳肌和股四头肌肌电图的性别特异性影响。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-01-29 DOI: 10.1016/j.jelekin.2026.103115

Kerrigan M. Sunday , Julie N. Côté

Previous studies have shown sex differences in muscle activation of the quadriceps and hamstrings with fatigue. However, whether these differences are present in a repeated sprint exercise (RSE) cycling task is unknown. Twenty (10 females) cyclists performed an RSE of 9 × 30 s bouts (1.5 min active rest in between) on their personal bike on a trainer, with instructions to produce as many watts as possible. Surface electromyography (EMG) of five right-side quadricep and hamstring muscles was recorded, with activation amplitude (RMS) calculated over each bout. Results show a general decrease with time, with more time-based fluctuations in females. Vastus medialis (VM; p < 0.001) and lateralis (VL; p = 0.004), biceps femoris (p = 0.013), rectus femoris (p < 0.001), and semitendinosus (p = 0.002) showed females only having time-based activation decreases over time. The VM:VL activation ratio showed females and males having different rates of increasing ratios. Results indicate sex and time-dependent quadricep and hamstring muscles activation during an RSE. Females’ greater modulation may reflect increased need to stabilize the knee against stress, which if uncontrolled, could represent an injury risk. This knowledge can be used to identify needs for sex-specific injury-prevention approaches for cyclists.

先前的研究表明，疲劳时股四头肌和腘绳肌的肌肉活动存在性别差异。然而，这些差异是否存在于重复冲刺运动（RSE）自行车任务是未知的。20名（10名女性）骑自行车者在教练的指导下，在他们的私人自行车上进行了9 × 30秒的RSE（中间1.5分钟的活动休息），并指示尽可能多地产生瓦特。记录右侧五块股四头肌和腘绳肌的表面肌电图（EMG），计算每轮的激活幅度（RMS）。结果显示，随着时间的推移，这种情况普遍下降，女性的时间波动更大。股内侧肌（VM）

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引用次数: 0

Investigating text neck syndrome and duration of mobile phone use, muscle activity, hand grip strength, posture, and disability 调查短信颈综合征与手机使用时间、肌肉活动、手握力、姿势和残疾的关系

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-01-26 DOI: 10.1016/j.jelekin.2026.103110

Zeynal Yasaci , Emrah Zirek , Rustem Mustafaoglu , Arzu Razak Ozdincler

Neck and shoulder musculoskeletal symptoms related to smartphone use are becoming increasingly prevalent, yet the underlying mechanisms including smartphone usage duration, muscle activity, hand grip strength, posture, and disability remain incompletely understood. This study examined the interaction between text-neck syndrome and factors such as smartphone usage duration, muscle activity, hand grip strength, posture, and disability. Forty participants (Text Neck group: n = 18; 14 females or Control group: n = 22; 15 females) underwent neuromuscular assessment. Surface electromyography measured bilateral muscle activity in the upper trapezius (UT) and abductor pollicis brevis (APB) muscles during smartphone use. Secondary outcomes included the Visual Analogue Scale (VAS) to assess pain intensity, hand grip strength, New York Posture Rating Scale (NYPRS), Neck Disability Index (NDI), and Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire. The Text Neck group demonstrated significantly higher smartphone use (p < 0.001), higher texting time (p = 0.006), and lower muscle activation at activity in the dominant APB (p = 0.011), dominant UT (p < 0.001), and non-dominant UT (p = 0.008). These findings provide novel insights into how excessive smartphone use alters muscle function and postural alignment in individuals with text-neck syndrome. Understanding these mechanisms may inform targeted prevention and rehabilitation strategies to mitigate musculoskeletal risk associated with modern technology use.

与智能手机使用相关的颈部和肩部肌肉骨骼症状正变得越来越普遍，但包括智能手机使用时间、肌肉活动、手握力、姿势和残疾在内的潜在机制仍未完全了解。这项研究调查了短信脖综合征与智能手机使用时间、肌肉活动、手握力、姿势和残疾等因素之间的相互作用。40名参与者（短信脖组：n = 18； 14名女性或对照组：n = 22； 15名女性）接受了神经肌肉评估。使用智能手机时，表面肌电图测量了双侧斜方肌上部（UT）和拇短外展肌（APB）的肌肉活动。次要结果包括评估疼痛强度的视觉模拟量表（VAS）、手部握力、纽约姿势评定量表（NYPRS）、颈部残疾指数（NDI）和手臂、肩部和手部残疾（DASH）问卷。文本颈组表现出更高的智能手机使用率（p < 0.001），更长的发短信时间（p = 0.006），以及在优势APB (p = 0.011)，优势UT （p < 0.001）和非优势UT （p = 0.008）活动时更低的肌肉激活。这些发现为过度使用智能手机如何改变短信脖综合征患者的肌肉功能和姿势提供了新的见解。了解这些机制可以为有针对性的预防和康复策略提供信息，以减轻与现代技术使用相关的肌肉骨骼风险。

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引用次数: 0

Roc-based validation of palmar sensory latency in Carpal tunnel syndrome diagnosis 基于roc的手掌感觉潜伏期在腕管综合征诊断中的验证。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-02-01 DOI: 10.1016/j.jelekin.2026.103112

Nur Türkmen , Senanur Giray , Simay Tavacı

Background

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy, and electrophysiological assessment remains the diagnostic gold standard.

Objective

This study aimed to determine the diagnostic performance of palmar sensory latency (PSL) in CTS using receiver operating characteristic (ROC) analysis and to examine its association with clinical severity.

Methods

A total of 136 upper limbs from 98 individuals evaluated for suspected CTS were retrospectively analyzed. Standard motor and sensory nerve conduction studies of the median nerve were performed, and PSL was obtained by stimulating the palm and recording from the index finger. ROC curve analysis was used to establish diagnostic cut-off values, sensitivity, and specificity.

Results

Among the examined limbs, 38 were diagnosed with CTS and 98 were normal. The optimal PSL cut-off was identified as ≥ 1.61 ms, yielding 84.2% sensitivity and 93.8% specificity (AUC = 0.87). PSL also showed a significant correlation with the Boston Carpal Tunnel Questionnaire (BCTQ) functional scores (r = 0.46, p < 0.01).

Conclusion

Palmar sensory latency is a highly sensitive and specific electrophysiological parameter for CTS diagnosis. Incorporating PSL into standard nerve conduction protocols may enhance early detection and diagnostic precision in clinical neurophysiology practice.

背景：腕管综合征（Carpal tunnel syndrome， CTS）是最常见的压迫性神经病变，电生理评估仍然是诊断的金标准。目的：本研究旨在通过受试者工作特征（ROC）分析确定掌感潜伏期（PSL）在CTS中的诊断价值，并探讨其与临床严重程度的关系。方法：回顾性分析98例疑似CTS患者136例上肢。对正中神经进行标准的运动和感觉神经传导研究，并通过刺激手掌和记录食指获得PSL。ROC曲线分析用于建立诊断临界值、敏感性和特异性。结果：检查肢体中，CTS 38例，正常98例。最佳PSL截止值为≥1.61 ms，灵敏度为84.2%，特异性为93.8% （AUC = 0.87）。PSL与Boston Carpal Tunnel Questionnaire （BCTQ）功能评分也有显著的相关性（r = 0.46, p）。结论：掌感潜伏期是诊断CTS的一个高度敏感和特异的电生理参数。将PSL纳入标准神经传导协议可提高临床神经生理学实践的早期发现和诊断准确性。

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引用次数: 0

Impaired force control and muscle activation during isometric contractions in people with multiple sclerosis 多发性硬化症患者等长收缩时的力控制和肌肉激活受损。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.jelekin.2026.103124

Mélanie Henry , Thomas Crompton , Enrique Alvarez , Roger M. Enoka

Motor impairments affect up to 80% of people living with multiple sclerosis (MS) and are often asymmetrical, resulting in self-reports of more- and less-affected legs. The purpose of our study was to examine asymmetries in the neural control of force applied by lower leg muscles in people with MS. Eighteen people with MS and 17 healthy controls performed two types of submaximal isometric contractions with dorsiflexors and plantar flexors. The outcomes included measures of force control and electromyographic (EMG) activity of lower-leg muscles. Force control was worse in people with MS compared with healthy controls (p ≤ 0.003), regardless of the limb assessed or the task performed. They also had greater agonist EMG activity during plantar flexion (p ≤ 0.042), and greater antagonist activity and coactivation levels during dorsiflexion (p < 0.001). No meaningful differences in performance or muscle activity were observed between limbs. The main result was that the MS group exhibited differences in force control of the dorsiflexors and plantar flexors, with no asymmetry between the more- and less-affected legs. The findings are expected to provide new information about mobility limitations and guide targeted rehabilitation approaches.

高达80%的多发性硬化症（MS）患者受到运动障碍的影响，而且运动障碍通常是不对称的，这导致他们自我报告的腿部或多或少受到影响。我们研究的目的是检查MS患者下肢肌肉施加力的神经控制的不对称性。18名MS患者和17名健康对照者用背屈肌和足底屈肌进行了两种类型的次极大等距收缩。结果包括力控制和下肢肌肉肌电图（EMG）活动的测量。与健康对照组相比，MS患者的力控制更差（p≤0.003），无论评估的肢体或执行的任务如何。它们在足底屈曲时也有更高的激动剂肌电图活性（p≤0.042），在背屈时也有更高的拮抗剂活性和共激活水平（p < 0.001）。四肢之间的表现或肌肉活动没有观察到有意义的差异。主要结果是MS组在背屈肌和足底屈肌的力控制上表现出差异，在受影响较重和较轻的腿之间没有不对称。研究结果有望提供有关活动能力限制的新信息，并指导有针对性的康复方法。

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引用次数: 0

Machine-learning classification of postural sway in young adults during colored noisy vestibular stimulation 彩色噪声前庭刺激下年轻人体位摇摆的机器学习分类。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.jelekin.2026.103125

Negar Rahimi , Vassilia Hatzitaki , Alireza Kamankesh , Alkistis Gavriilidou , Roger M. Enoka

Stochastic resonance suggests that adding an optimal level of noise can enhance a weak signal, making it detectable. This report presents a secondary analysis of data from Gavriilidou et al. (2025) examining how noisy galvanic vestibular stimulation (nGVS) affects postural control. A k-nearest neighbor (KNN) classifier was used to distinguish center-of-pressure (CoP) trajectories recorded from healthy young adults standing on a firm surface with feet together and eyes closed. CoP data were analyzed using seven time-domain variables and 84 time–frequency bandwidths in the forward–backward and side-to-side directions. Three time-domain and two time–frequency features were selected for classification. Model accuracy was evaluated for differentiating among stimulus intensities (% perceptual threshold), noise types (Pink or White), and responsiveness to the perturbation. Classification accuracy exceeded 96% for all conditions, indicating distinct CoP patterns. The model further distinguished participants who did or did not exhibit a stochastic-resonance response to nGVS. SHapley Additive exPlanation analysis revealed that feature contributions were greater under White-noise stimulation. These findings demonstrate that nGVS systematically modulates postural control and that machine learning can effectively capture its condition-specific influence on balance dynamics.

随机共振表明，添加最佳噪声水平可以增强弱信号，使其可检测。本报告对Gavriilidou等人（2025）的数据进行了二次分析，研究了嘈杂的前庭电刺激（nGVS）如何影响姿势控制。使用k-最近邻（KNN）分类器来区分健康年轻人站在坚实的表面上，两脚合拢并闭着眼睛记录的压力中心（CoP）轨迹。CoP数据使用7个时域变量和84个时频带宽在前后和左右方向进行分析。选取三个时域特征和两个时频特征进行分类。通过区分刺激强度（%知觉阈值）、噪声类型（粉红色或白色）和对扰动的响应来评估模型的准确性。所有条件下的分类准确率均超过96%，表明不同的CoP模式。该模型进一步区分了对nGVS有或没有表现出随机共振反应的参与者。SHapley加性解释分析表明，白噪声刺激下特征的贡献更大。这些发现表明，nGVS系统地调节姿势控制，机器学习可以有效地捕捉其对平衡动力学的特定条件影响。

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引用次数: 0

Relationships between magnitude of handedness and bilateral asymmetry of shoulder muscle activation during a unilateral overhead fatiguing task in right-handed individuals 右撇子单侧头顶疲劳任务中，利手程度与肩部肌肉激活的双侧不对称之间的关系。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jelekin.2026.103114

Erika Renda , Samuel Lamanuzzi , Julie N. Côté

Previous literature has shown a relationship between side dominance and asymmetry in some features of motor control. However, the magnitude of handedness (i.e. how side-dominant someone is) is unclearly related to bilateral differences in shoulder muscle activity and how it changes with fatigue. We expected that people with the highest scores on the handedness laterality quotient would display a greater side dominance (difference between their right and left sides) in their shoulder activation patterns, both in the absence and presence of fatigue. Thirty right-handed adults completed two sessions of an overhead fatiguing task: one with their dominant and the other with their non-dominant arms. Electromyographic (EMG) data was collected from six shoulder muscles (deltoids, rotator cuff and biceps) using either surface and in-dwelling electrodes, and activation amplitude was calculated using root-mean-square (RMS). Asymmetry was calculated using a Limb Symmetry Index equation. Two statistically significant correlations were found, only in females, between the handedness laterality quotient (degree of right-handedness) with no-fatigue anterior deltoid EMG RMS asymmetry (p = 0.004), and with fatigued middle deltoid EMG RMS asymmetry (p = 0.006). Handedness magnitude should be considered when recommending shoulder injury prevention approaches for overhead work, but only in females. During apprenticeships, trainers should consider using EMG and Limb Symmetry Index equations (which determines the laterality quotient) to assess shoulder muscle asymmetry, especially in shoulder injury prevention for women who perform overhead tasks.

先前的文献表明，在运动控制的某些特征中，侧优势和不对称之间存在关系。然而，偏手性的大小（即一个人有多偏向一侧）与肩关节肌肉活动的双边差异以及它如何随着疲劳而变化的关系并不清楚。我们预计，在偏手性偏侧性商得分最高的人，在他们的肩膀激活模式中，无论是在没有疲劳的情况下还是在疲劳的情况下，都会表现出更大的侧优势（左右两侧的差异）。30名惯用右手的成年人完成了两组令人疲劳的头顶任务：一组用惯用手，另一组用非惯用手。使用表面电极和内置电极收集六块肩部肌肉（三角肌、肩袖和二头肌）的肌电图（EMG）数据，并使用均方根（RMS）计算激活幅度。使用肢体对称指数方程计算不对称性。仅在女性中，利手性偏侧性商（右利手程度）与无疲劳三角肌前肌电均方根不对称（p = 0.004）和疲劳三角肌中肌电均方根不对称（p = 0.006）之间存在统计学上显著的相关性。在推荐头顶工作的肩伤预防方法时，应考虑偏手程度，但仅限于女性。在学徒期间，教练应该考虑使用肌电图和肢体对称指数方程（决定侧度商）来评估肩部肌肉的不对称性，特别是在执行头顶任务的女性肩部损伤预防方面。

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引用次数: 0

Estimating proximity to muscular failure using surface EMG and deep learning 利用表面肌电图和深度学习估计肌肉衰竭的接近度。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-01-29 DOI: 10.1016/j.jelekin.2026.103111

Leonardo Garofalo , Sophie Defauw , Giuseppe Calcagno , Giovanni Fiorilli , Alessandra Di Cagno

Understanding how close an individual is to muscular failure during exercise can be used to personalize resistance training dynamically. We propose a deep learning approach to estimate proximity to failure in real-time from surface electromyography (sEMG) signals, supported by a novel dataset of 192 recordings collected from 12 participants performing isometric biceps brachii holds to failure.

The recorded sEMG signals were preprocessed and converted into spectrogram windows using the Short-Time Fourier Transform. A continuous Proximity to Failure Index (PFI), defined as the elapsed percentage of the hold duration, was assigned to each window based on its corresponding position in time. Several deep learning models, including a multilayer perceptron, a Transformer, and recurrent neural networks, were trained to predict PFI values from the spectrograms and compared against linear and support vector regression baselines. Model performance was evaluated using leave-one-out cross-validation.

All deep learning models outperformed the baselines, with the long short-term memory network achieving the lowest mean squared error (

49.44 \pm 18.34

) across participants. This work demonstrates that proximity to muscular failure can be estimated from sEMG signals during isometric holds, offering a basis for developing real-time biofeedback systems that adapt resistance training according to electromyographic activity.

了解一个人在运动过程中离肌肉衰竭有多近，可以用来动态地进行个性化的阻力训练。我们提出了一种深度学习方法，通过表面肌电图（sEMG）信号实时估计失败的接近程度，该方法得到了一个新的数据集的支持，该数据集收集了来自12名参与者进行肱二头肌等距保持失败的192个记录。对记录的表面肌电信号进行预处理，利用短时傅里叶变换将其转换为谱图窗口。连续的故障接近指数（PFI），定义为保持时间的流逝百分比，根据其相应的时间位置分配给每个窗口。几个深度学习模型，包括多层感知器、变压器和循环神经网络，被训练来从频谱图中预测PFI值，并与线性和支持向量回归基线进行比较。模型性能评估采用留一交叉验证。所有深度学习模型的表现都优于基线，长短期记忆网络在参与者中获得了最低的均方误差（49.44±18.34）。这项工作表明，肌肉衰竭的接近程度可以从等距保持时的表面肌电信号中估计出来，为开发根据肌电图活动适应阻力训练的实时生物反馈系统提供了基础。

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引用次数: 0

Gait pathomechanics in early-stage knee osteoarthritis: do non-traumatic and post-traumatic patients walk differently? 早期膝关节骨关节炎的步态病理力学：非创伤和创伤后患者行走方式不同吗？

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.jelekin.2026.103113

Anna Vanmechelen , Miel Willems , Bryce A. Killen , Pieter Berger , Hilde Vandenneucker , Kurt De Vlam , Ilse Jonkers , Annemie Smeets , Jos Vanrenterghem , Sabine Verschueren

Altered knee joint loading in early-stage osteoarthritis may accelerate cartilage degeneration and symptom progression. This cross-sectional observational study investigates differences in knee joint pathomechanics between 22 patients with early-stage post-traumatic knee osteoarthritis (PTOA), 26 patients with early-stage non-traumatic knee osteoarthritis (NTOA) and 20 age-/gender-matched healthy controls. Participants walked barefoot at self-selected speeds while marker data (100 Hz), ground reaction forces (1000 Hz), and surface electromyography (1000 Hz) were recorded. electromyography-informed musculoskeletal simulations estimated knee contact forces (KCF) and joint mechanics. Group differences in these outcomes and measured muscle activations were assessed via Statistical Parametric Mapping t-tests. Analysis of Covariance investigated the influence of covariates (age, gender, gait speed, alignment, strength). Early-stage NTOA and PTOA patients exhibit similar KCF and joint mechanics. Both patient groups exhibited significantly reduced second KCF peaks compared to controls (p = 0.019, Δmean NTOA – controls = 1.07 BW, Δmean PTOA – controls = 0.98 BW), suggesting knee underloading, in contrast to the joint overload typically seen in established OA. Additionally, gait speed significantly influenced KCF peaks. These findings suggest that early OA may be characterized by cartilage underloading. Longitudinal studies and more demanding tasks may reveal phenotype-specific biomechanical distinctions and also confirm continuous cartilage underloading in disease progression.

早期骨关节炎的膝关节负荷改变可能加速软骨退变和症状进展。本横断面观察性研究调查了22例早期创伤后膝骨关节炎（PTOA）患者、26例早期非创伤性膝骨关节炎（NTOA）患者和20例年龄/性别匹配的健康对照者膝关节病理力学的差异。参与者以自己选择的速度赤脚行走，同时记录标记数据（100赫兹）、地面反作用力（1000赫兹）和表面肌电图（1000赫兹）。肌电图信息的肌肉骨骼模拟估计膝关节接触力（KCF）和关节力学。通过统计参数映射t检验评估这些结果和测量肌肉激活的组间差异。协方差分析调查了协变量（年龄、性别、步态速度、对齐、力量）的影响。早期NTOA和PTOA患者表现出相似的KCF和关节力学。与对照组相比，两组患者的第二次KCF峰值均显著降低（p = 0.019， Δmean NTOA -对照组= 1.07 BW， Δmean PTOA -对照组= 0.98 BW），提示膝关节负荷不足，而不是关节炎患者通常出现的关节过载。此外，步态速度显著影响KCF峰值。这些发现提示早期骨关节炎可能以软骨负荷过低为特征。纵向研究和更苛刻的任务可能揭示表型特异性的生物力学差异，也证实了疾病进展中持续的软骨负荷不足。

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引用次数: 0

A comprehensive review of EMG/EEG based wheelchair control systems for individuals with disabilities: HMI and BCI perspectives. 残疾人轮椅控制系统的EMG/EEG综合综述：HMI和脑机接口的观点。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-03-06 DOI: 10.1016/j.jelekin.2026.103134

Amanpreet Kaur, Rupal Garg, Sukriti Prasad

Human-machine interface (HMI) and brain-computer interface (BCI) are proving to help make technologies better and helpful for people with disabilities. These systems give individuals the ability to easily control wheelchair, and enhance their quality of life. This review focuses on the use of EMG (muscle activity) and EEG (brain activity) signals, considered primarily as individual modalities, for wheelchair control. EMG signals facilitate muscle control, which is particularly useful for individuals with motor impairments or impaired limb function. On the other hand, EEG-based BCIs enable independent navigation for individuals with severe motor disorders by systematically analyzing brainwave patterns. This review covers the literature from 2014 to 2024 and focuses on signal acquisition, filtering, feature extraction, and classification techniques. It also highlights the challenges of signal processing, inter-subject interaction, and real-time optimization. Based on the analyzed studies, research gaps are identified, and future directions are outlined, including the potential integration of multimodal EEG-EMG approaches as an emerging research trend for developing more user-centric and adaptive wheelchair systems.

事实证明，人机界面（HMI）和脑机接口（BCI）有助于使技术更好地帮助残疾人。这些系统使个人能够轻松地控制轮椅，提高他们的生活质量。这篇综述的重点是使用肌电图（肌肉活动）和脑电图（大脑活动）信号，主要被认为是个人模式，用于轮椅控制。肌电图信号促进肌肉控制，这对运动障碍或肢体功能受损的个体特别有用。另一方面，基于脑电图的脑机接口通过系统地分析脑电波模式，使患有严重运动障碍的个体能够独立导航。本文回顾了2014年至2024年的文献，重点介绍了信号采集、滤波、特征提取和分类技术。它还强调了信号处理、学科间交互和实时优化方面的挑战。在分析研究的基础上，确定了研究差距，并概述了未来的发展方向，包括多模态脑电图-肌电图方法的潜在整合，作为开发更多以用户为中心和自适应轮椅系统的新兴研究趋势。

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引用次数: 0

Countermovement jumps with a weighted vest elicit post-activation performance enhancement among active males and females 反动作跳跃与加权背心引起激活后的表现增强在活跃的男性和女性。

IF 2.3 4区医学 Q3 NEUROSCIENCES

Journal of Electromyography and Kinesiology

Pub Date : 2026-02-01 Epub Date: 2025-12-20 DOI: 10.1016/j.jelekin.2025.103104

Rebekah Trent , Kate Hendrickson , Warren Joseph , Seth Pearson , Ward C. Dobbs , Kanikkai Steni Balan Sackiriyas , Thomas G. Almonroeder

Enhanced performance following a voluntary neuromuscular activation or conditioning activity is commonly referred to as post-activation performance enhancement (PAPE). Performing countermovement jumps (CMJs) with a weighted vest has the potential to elicit a PAPE effect, as the added load may facilitate acute neuromuscular changes. The primary purpose of this study was to assess whether performing CMJs with a weighted vest is associated with short-term changes in CMJ performance consistent with PAPE. 15 males and 14 females completed CMJs without additional load (baseline), while wearing a weighted vest with 10 % body mass load, and shortly after removing the weighted vest (post). Ground reaction force data recorded during CMJs were used to derive various force–time and jump performance metrics. Compared to baseline, males exhibited increases in peak velocity (+3.4 %), peak power (+4.3 %), jump height (+8.1 %), and reactive strength (+17.6 %) for the post condition. Females exhibited similar increases in peak velocity (+2.5 %), peak power (+3.6 %), jump height (+5.7 %), and reactive strength (+7.8 %). Changes in peak force were not significant. These findings suggest that performing CMJs with a weighted vest may acutely enhance subsequent jump performance, with improvements appearing to be driven more by increases in movement velocity than changes in force production.

自发性神经肌肉激活或调节活动后的性能增强通常被称为激活后性能增强（PAPE）。负重背心进行反向运动跳跃（CMJs）有可能引发PAPE效应，因为增加的负荷可能促进急性神经肌肉变化。本研究的主要目的是评估使用加权背心进行CMJ是否与与PAPE一致的CMJ表现的短期变化有关。15名男性和14名女性在没有额外负荷（基线）的情况下完成了CMJs，同时穿着体重负荷为10%的加重背心，并在脱下加重背心后不久完成了CMJs。在CMJs期间记录的地面反作用力数据用于推导各种力-时间和跳跃性能指标。与基线相比，男性在岗位条件下表现出峰值速度（+ 3.4%）、峰值功率（+ 4.3%）、跳跃高度（+ 8.1%）和反应强度（+ 17.6%）的增加。雌性表现出类似的峰值速度（+ 2.5%）、峰值功率（+ 3.6%）、跳跃高度（+ 5.7%）和反应强度（+ 7.8%）的增加。峰值力变化不显著。这些研究结果表明，在负重背心的情况下进行CMJs可能会显著提高随后的跳跃表现，这种改善似乎更多地是由运动速度的增加而不是力量产生的变化所驱动的。

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引用次数: 0