Results 111 to 120 of about 29,904 (258)

Load and muscle‐dependent changes in triceps surae motor unit firing properties in individuals with non‐insertional Achilles tendinopathy

The Journal of Physiology, Volume 604, Issue 2, Page 955-978, 15 January 2026.
Abstract figure legend Motor unit firing properties of the medial gastrocnemius (MG), lateral gastrocnemius (LG), and soleus (SO) muscles were assessed using high‐density surface electromyography (HD‐sEMG) during isometric plantarflexion contractions at 10%, 40%, and 70% maximal voluntary contraction (MVC) in individuals with non‐insertional Achilles ...
Ignacio Contreras‐Hernandez, Deborah Falla, Michail Arvanitidis, Francesco Negro, David Jimenez‐Grande, Eduardo Martinez‐Valdes   +5 more
wiley   +1 more source

Estimating Neural Control from Concentric vs. Eccentric Surface Electromyographic Representations during Fatiguing, Cyclic Submaximal Back Extension Exercises

Frontiers in Physiology, 2017
Purpose: To investigate the differences in neural control of back muscles activated during the eccentric vs. the concentric portions of a cyclic, submaximal, fatiguing trunk extension exercise via the analysis of amplitude and time-frequency parameters ...
Gerold R. Ebenbichler, Gerold R. Ebenbichler, Lena Unterlerchner, Richard Habenicht, Richard Habenicht, Paolo Bonato, Josef Kollmitzer, Patrick Mair, Sara Riegler, Thomas Kienbacher   +9 more
doaj   +1 more source

A Study on the Classification Effect of sEMG Signals in Different Vibration Environments Based on the LDA Algorithm [PDF]

, 2021
Yanchao Wang, Ye Tian, Jinying Zhu, Haotian She, Hiroshi Yokoi, Yinlai Jiang, Qiang Huang   +6 more
openalex   +1 more source

Automated Diagnosis of Lower Limb Alignment Deformities Using Deep Learning and Joint Orientation Analysis

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The misalignment of the lower limbs may cause serious musculoskeletal issues when not discovered at the initial stage, but the traditional methods of diagnosis are subjective, time‐consuming, and rely on clinical experience. In solving these problems, this paper will present an automated convolutional neural network (CNN) to identify the presence of ...
Aarti Goswami, Sandeep Chaurasia, Jayesh Gangrade, Gopalakrishnan T., Mukesh Kumar   +4 more
wiley   +1 more source

Use of sEMG for Swallowing Muscles Activity Quantification in Acute Phase of Stroke

, 2023
Vitriana Biben, Andre Tanuwijaya, Ildzamar Haifa Wardhani, Lisda Amalia   +3 more
openalex   +1 more source

ENHANCING WIRELESS sEMG SIGNAL INTEGRITY IN INDUSTRIAL MACHINERY USING FWMA FILTER [PDF]

, 2023
Filinto Bonte Có
openalex   +1 more source

Functional Activity of Hip Muscles in Patients With Severe Dysplastic Coxarthrosis

Advances in Orthopedics, Volume 2026, Issue 1, 2026.
Background Despite recent advances in surgical treatment of dysplastic coxarthrosis, muscular dysfunction of the affected extremity and attempts to improve its functional capacity represent a significant problem. Materials and Methods A prospective case‐match study of 50 patients with severe dysplastic coxarthrosis was conducted.
Dmytro Poluliakh, Sergii Gerasymenko, Mykhailo Poluliakh, Andrii Babko, Igor Lazarev, Shashank Kaushik   +5 more
wiley   +1 more source

sEMG: A Window Into Muscle Work, but Not Easy to Teach and Delicate to Practice—A Perspective on the Difficult Path to a Clinical Tool [PDF]

, 2021
Bernard J. Martin, Yadrianna Acosta-Sojo
openalex   +1 more source

Motion intention recognition of the affected hand based on the sEMG and improved DenseNet network

Heliyon
The key to sEMG (surface electromyography)-based control of robotic hands is the utilization of sEMG signals from the affected hand of amputees to infer their motion intentions.
Qunfeng Niu, Lei Shi, Yang Niu, Kunming Jia, Guangxiao Fan, Ranran Gui, Li Wang   +6 more
doaj   +1 more source

The Application of Surface Electromyography Technology in Evaluating Paraspinal Muscle Function

Diagnostics
Surface electromyography (sEMG) has emerged as a valuable tool for assessing muscle activity in various clinical and research settings. This review focuses on the application of sEMG specifically in the context of paraspinal muscles.
Moran Suo, Lina Zhou, Jinzuo Wang, Huagui Huang, Jing Zhang, Tianze Sun, Xin Liu, Xin Chen, Chunli Song, Zhonghai Li   +9 more
doaj   +1 more source