Results 91 to 100 of about 83,136 (298)

How Grip Variation Effects Shoulder Complex Muscle Activation During the Pull-Up [PDF]

, 2020
Pull-ups are a common training exercise essential for muscle growth in resistance-based training workouts and workout programs. The purpose of this study was to determine the impact of different pull-up grips on muscle activation in six college aged ...
Koehler, J.D.
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Surface Electromyography-Based Recognition of Electronic Taste Sensations

Biosensors
Taste sensation recognition is a core for taste-related queries. Most prior research has been devoted to recognizing the basic taste sensations using the Brain–Computer Interface (BCI), which includes EEG, MEG, EMG, and fMRI.
Asif Ullah, Fengqi Zhang, Zhendong Song, You Wang, Shuo Zhao, Waqar Riaz, Guang Li   +6 more
doaj   +1 more source

Antagonist conditioning contractions impair agonist functioning [PDF]

, 2010
This study assessed the effect of antagonist conditioning contractions (ACC) on the subsequent force and electromyography of an agonist. Twelve subjects performed isokinetic elbow flexion on a dynamometer in 4 test conditions including a baseline ...
Ebben, William, Fauth, McKenzie, Garceau, Luke, Gray, Aaron, Hanson, Phillip, Hsu, Brittni, Lutsch, Brittney, Szalkowski, Chris, Yoon, Tejin   +8 more
core   +2 more sources

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu, Monther AlSiyabi, Aida Ebrahimi   +2 more
wiley   +1 more source

Comparison of contact interface factors for surface electromyography control wearable device

Advances in Mechanical Engineering, 2018
Surface electromyography is commonly used as control signals for wearable devices. Compared to physical sensors, bioelectric signal are more sensitive to pressure and placement of interface.
Wei-Xing Wang, Shou-Qian Sun, Zhi-Chuan Tang   +2 more
doaj   +1 more source

Influence of Course Type on Upper Body Muscle Activity in Elite Cross-Country and Downhill Mountain Bikers During Off Road Downhill Cycling [PDF]

, 2012
This study aimed to investigate upper body muscle activity using surface electromyography (sEMG) in elite cross-country (XCO) and downhill (DH) cyclists during off road descending and the influence of man-made (MM) and natural terrain (NT) descents on ...
Atkins, Stephen, Ericsson, Fredrik, Holmberg, Hans-Christer, Hurst, Howard Thomas, Hébert-Losier, Kim, Sinclair, Jonathan Kenneth, Swarén, Mikael   +6 more
core  

Tremor Differentiation on Surface Electromyography

IOSR Journal of Dental and Medical Sciences, 2016
Objective: The aim of this study was to differentiate tremors on the basis of the electromyographic examination. Methods: A total of 100 patients, having different kind of tremors were prospectively analyzed. A detailed neurological and electromyographic examination was performed. The tremor was studied in all limbs positions. Clinically, patients were
Dr. Man Mohan Mehndiratta, Dr. Munish Kumar, Dr. Sanjay Pandey   +2 more
openaire   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source