Results 21 to 30 of about 39,692 (260)
Chronic-Pain Protective Behavior Detection with Deep Learning [PDF]
In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities.
Bianchi-Berthouze, Nadia +5 more
core +2 more sources
Surface electromyography (sEMG) is widely used in monitoring human health. Nonetheless, it is challenging to capture high-fidelity sEMG recordings in regions with intricate curved surfaces such as the larynx, because regular sEMG electrodes have stiff ...
Ding Zhang +8 more
semanticscholar +1 more source
sEMG-Based Hand Gesture Recognition Using Binarized Neural Network
Recently, human–machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and ...
Soongyu Kang +5 more
semanticscholar +1 more source
Advanced Hand Gesture Prediction Robust to Electrode Shift with an Arbitrary Angle
Recent advances in myoelectric controlled techniques have made the surface electromyogram (sEMG)-based sensing armband a promising candidate for acquiring bioelectric signals in a simple and convenient way.
Zhenjin Xu +3 more
doaj +1 more source
EOG-sEMG Human Interface for Communication [PDF]
The aim of this study is to present electrooculogram (EOG) and surface electromyogram (sEMG) signals that can be used as a human-computer interface. Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients suffering from amyotrophic lateral ...
Tamura, Hiroki +3 more
openaire +2 more sources
A Flexible Wireless sEMG System for Wearable Muscle Strength and Fatigue Monitoring in Real Time
The detection of surface electromyography (sEMG) signals on the skin has attracted increasing attention because of its ability to monitor muscle conditions in a noninvasive manner and thus possesses great application potential to assess athletic status ...
Qibei Gong +4 more
semanticscholar +1 more source
In literature, it is commonly reported that the progress of performance fatigability may be indirectly assessed through the changes in the features of the surface electromyogram (sEMG) signal.
Matteo Beretta-Piccoli +2 more
doaj +1 more source
Background: Mastication patterns due to malocclusion with unilateral posterior crossbite may permanently change. Purpose: This study aimed to examine the effect of malocclusion with unilateral posterior crossbite of the superficial masseter and anterior ...
Yona Pricilia Anggi Siregar +2 more
doaj +1 more source
Surface electromyography in manual therapy - categorization of purpose and quality of reporting
Introduction: Manual therapy (MT) is widely used by several healthcare professions to treat musculoskeletal disorders (MSD’s), still, there isn’t enough evidence to support its choice a therapeutic approach to these disorders. Researchers have been using
Rui Santiago +2 more
doaj +1 more source
BackgroundUpper limb impairment is common after stroke, and many will not regain full upper limb function. Different technologies based on surface electromyography (sEMG) have been used in stroke rehabilitation, but there is no collated evidence on the ...
Maria Munoz-Novoa +12 more
doaj +1 more source

