Results 81 to 90 of about 4,504,110 (182)
Muscle fatigue, a key concern in sports science, rehabilitation, and occupational health, influences performance, injury risk, and provides insights into muscle functionality and endurance. Surface electromyography (sEMG) has emerged as a vital tool for
Tang Ming +2 more
doaj +1 more source
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
Electrically and hybrid-induced muscle activations: effects of muscle size and fiber type
The effect of three electrical stimulation (ES) frequencies (10, 35, and 50 Hz) on two muscle groups with different proportions of fast and slow twitch fibers (abductor pollicis brevis (APB) and vastus lateralis (VL)) was explored. We evaluated the acute
Kelly Stratton, Pouran D. Faghri
doaj +1 more source
ABSTRACT Objective This study aimed to develop and validate a nomogram model based on resting‐state functional near‐infrared spectroscopy (fNIRS) data to predict the severity of post‐stroke dysphagia (PSD), providing a basis for individualized assessment and intervention for PSD.
Bangqiang Hou +7 more
wiley +1 more source
Recognizing a Dysfunctional Swallowing Pattern using Surface Electromyography (sEMG) [PDF]
Purpose: The purpose of this study was to determine if a surface electromyography (sEMG) assessment of swallowing is better at identifying Oral Muscular Dysfunction (OMD) than a clinical evaluation (observation & digital palpation) of swallowing.
Couto, Michelle F.
core +1 more source
sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules
IntroductionConvolutional neural networks are widely used in gesture recognition research, which employs surface electromyography. However, when processing surface electromyography data, current deep learning models still face challenges, such as ...
Yutong Xia +3 more
doaj +1 more source
ABSTRACT Introduction Children's developing musculoskeletal systems are highly sensitive to mechanical stimuli. This study investigated the effects of running shoe midsole hardness (MH) (soft midsole [SM], medium midsole [MM], and hard midsole [HM]) on lower‐limb biomechanics and muscle activation during the running stance phase in children.
Zhaolong Ye +14 more
wiley +1 more source
The aim of the study was to investigate the repeatability of the calibration protocol performed by the Teethan® device (Teethan S.p.A. Italy) for surface electromyography (sEMG) when biting on cotton rolls to eliminate the effect of occlusal contacts.
Bogdanov V.
doaj +1 more source
A 3 × 4 electrode array was placed over each of seven muscles and surface electromyography (sEMG) data were collected during isometric contractions. For each array, nine bipolar electrode pairs were formed off-line and sEMG parameters were calculated and
Kendell Cynthia +5 more
doaj +1 more source
ABSTRACT Background Evidence regarding the biomechanics of stair‐to‐ground transitions after acute ankle sprain (AAS) remains limited. This study examined ankle kinematics, center‐of‐mass (COM) displacement, muscle activation, and intermuscular coherence during this transition.
Haowen Sun +3 more
wiley +1 more source

