E2cnn: An efficient concatenated cnn for classification of surface emg extracted from upper limb
Surface electromyography is a bioelectrical indicator that emerges during muscle
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
contraction and has been widely used in a variety of clinical applications. Several prosthetic …
Spectral image-based multiday surface electromyography classification of hand motions using CNN for human–computer interaction
Physiological signals such as electromyography (EMG) have been used in human–
computer interaction (HCI) for medical applications. Wearable prostheses, such as robotic …
computer interaction (HCI) for medical applications. Wearable prostheses, such as robotic …
Supervised myoelectrical hand gesture recognition in post-acute stroke patients with upper limb paresis on affected and non-affected sides
A Anastasiev, H Kadone, A Marushima, H Watanabe… - Sensors, 2022 - mdpi.com
In clinical practice, acute post-stroke paresis of the extremities fundamentally complicates
timely rehabilitation of motor functions; however, recently, residual and distorted …
timely rehabilitation of motor functions; however, recently, residual and distorted …
Induction of neural plasticity using a low-cost open source brain-computer interface and a 3D-printed wrist exoskeleton
Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but
there are a number of factors that impede the use of this technology in rehabilitation clinics …
there are a number of factors that impede the use of this technology in rehabilitation clinics …
[HTML][HTML] Conformal, stretchable, breathable, wireless epidermal surface electromyography sensor system for hand gesture recognition and rehabilitation of stroke …
K Yang, S Zhang, Y Yang, X Liu, J Li, B Bao, C Liu… - Materials & Design, 2024 - Elsevier
Surface electromyography (sEMG) plays a significant role in the everyday practice of clinic
hand function rehabilitation. The materials and design of current typical clinic sEMG …
hand function rehabilitation. The materials and design of current typical clinic sEMG …
[PDF][PDF] EMG Signal Acquisition and Processing for Feature Extraction And Detection of Disease
S Chatterjee, A Chatterjee, S Saha, D Mukherjee… - J. Eng. Technol …, 2024 - jet-m.com
Electromyography (EMG) is a diagnostic procedure for evaluating the health of muscles and
the nerve cells that control them. Proper analysis of the results of EMG can reveal muscle …
the nerve cells that control them. Proper analysis of the results of EMG can reveal muscle …
Facial EMG activity is associated with hedonic experiences but not nutritional values while viewing food images
W Sato, S Yoshikawa, T Fushiki - Nutrients, 2020 - mdpi.com
The physiological correlates of hedonic/emotional experiences to visual food stimuli are of
theoretical and practical interest. Previous psychophysiological studies have shown that …
theoretical and practical interest. Previous psychophysiological studies have shown that …
Electromyography based hand movement classification and feature extraction using machine learning algorithms
The categorization of hand gestures holds significant importance in controlling orthotic and
prosthetic devices, enabling human-machine interaction, and facilitating telerehabilitation …
prosthetic devices, enabling human-machine interaction, and facilitating telerehabilitation …
Deep Learning Based Post-stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design
Recently, robot-assisted rehabilitation has emerged as a promising solution to increase the
training intensity of stroke patients while reducing workload on therapists, whilst surface …
training intensity of stroke patients while reducing workload on therapists, whilst surface …
[HTML][HTML] Data-Driven Stroke Classification Utilizing Electromyographic Muscle Features and Machine Learning Techniques
Background: Predicting a stroke in advance or through early detection of subtle prodromal
symptoms is crucial for determining the prognosis of the remaining life. Electromyography …
symptoms is crucial for determining the prognosis of the remaining life. Electromyography …