Estimating proximity to muscular failure using surface EMG and deep learning [0.03%]
基于表面肌电图和深度学习估算肌肉力竭的距离
Leonardo Garofalo,Sophie Defauw,Giuseppe Calcagno et al.
Leonardo Garofalo et al.
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 electrom...
Machine-learning classification of postural sway in young adults during colored noisy vestibular stimulation [0.03%]
彩色噪声前庭刺激下年轻成人姿势摆动的机器学习分类
Negar Rahimi,Vassilia Hatzitaki,Alireza Kamankesh et al.
Negar Rahimi et al.
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 st...
Gait pathomechanics in early-stage knee osteoarthritis: do non-traumatic and post-traumatic patients walk differently? [0.03%]
膝骨关节炎早期步态异常的力学机制：非创伤性和创伤性患者的步态不同吗？
Anna Vanmechelen,Miel Willems,Bryce A Killen et al.
Anna Vanmechelen et al.
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 ...
Investigating text neck syndrome and duration of mobile phone use, muscle activity, hand grip strength, posture, and disability [0.03%]
手机使用时间、肌肉活动、握力、姿势与文本颈综合征及残疾的关系研究
Zeynal Yasaci,Emrah Zirek,Rustem Mustafaoglu et al.
Zeynal Yasaci et al.
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...
The influence of muscle shapes on HDsEMG decomposition yield and accuracy [0.03%]
肌肉形状对HD表面肌电分解效果和准确性的影响
Andra Oltmann,Jan Graßhoff,Tobias Knopp et al.
Andra Oltmann et al.
The application of high-density surface electromyography in conjunction with decomposition algorithms has enabled decoding of motor unit (MU) firings. In developing such algorithms, model-based simulation is an established means to assess y...
Glenohumeral joint dynamics and rotator cuff health in youth manual wheelchair users with pediatric spinal cord injury and dysfunction [0.03%]
青年期脊髓损伤和功能障碍的手动轮椅使用者的盂肱关节动力学和旋转袖健康状况
Caleb M A Cordes,Alyssa J Schnorenberg,Joshua M Leonardis et al.
Caleb M A Cordes et al.
Youth with pediatric-onset spinal cord injury or dysfunction (SCI/D) rely on manual wheelchairs for mobility throughout their lives, leading to prolonged shoulder loading during development and growth. While manual wheelchair use is known t...
Instruction during lifting: How analogy and explicit instruction influence performance and motor control [0.03%]
举重时的指导：类比和明确指令如何影响表现和运动控制
Angel Carnero-Diaz,Matt Greig,David Wing et al.
Angel Carnero-Diaz et al.
Purpose: This study aimed to examine the effects of analogy (ANA) and explicit (EXP) verbal instruction on motor performance and muscle activation during a weightlifting task. Traditional coaching strategies often rely on...
Sex differences in myoelectric manifestations of shoulder fatigue in time-frequency and complexity domains during a repetitive shoulder height task [0.03%]
重复肩高度任务下男女疲劳的时频和复杂度域肌电信号表现差异研究
Yiyang Chen,Di Kang,Julie N Côté
Yiyang Chen
Previous studies have shown sex differences in muscle activation amplitude and frequency spectrum during fatiguing shoulder-height tasks. However, time-frequency and complexity analyses may reveal new features of the shoulder's injury expos...
Estimating IMU signals from surface EMG using physics-informed and domain-adaptive neural networks [0.03%]
基于物理和领域自适应神经网络的表面肌电信号估计算法研究
Hari Iyer,Heejin Jeong
Hari Iyer
We propose a physics-informed, domain-adaptive neural network architecture for estimating body kinematics from surface electromyography (EMG) signals across heterogeneous human task domains. The proposed approach addresses the biomechanical...
Reproducibility of bioimpedance spectroscopy parameters to evaluate skeletal muscle properties [0.03%]
生物阻抗谱参数评价骨骼肌性质的重复性
Silvère De Freitas,Alain Letourneur,Jérémie Bouvier et al.
Silvère De Freitas et al.
Bioimpedance spectroscopy (BIS) can be used to evaluate skeletal muscle hydration and integrity in healthy and injured skeletal muscle, thanks to resistance and reactance variations. However, skeletal muscle measurements reproducibility and...