Surface electromyographic biofeedback versus neuromuscular electrical stimulation for post-stroke dysphagia: a systematic review and network meta-analysis [PDF]
Frontiers in NeurologyBackgroundPost-stroke dysphagia (PSD) is a common complication with a high incidence rate, significantly impairing patients’ quality of life and health.
Na Li +4 more
doaj +2 more sources
Upper Limb Action Recognition Using Deep Learning and sEMG
Journal of Harbin University of Science and Technology, 2023 The recognition of upper limb action by sEMG is an important method to realize the continuous passive action and active assisted action mode of rehabilitation robot .
XULinsen +4 more
doaj +1 more source
Gesture recognition of continuous wavelet transform and deep convolution attention network
Mathematical Biosciences and Engineering, 2023 To solve the problem of missing data features using a deep convolutional neural network (DCNN), this paper proposes an improved gesture recognition method.
Xiaoguang Liu +7 more
doaj +1 more source
SEMG APPROACH FOR SPEECH RECOGNITION
International Journal of Advanced Research in Computer Science, 2023 Speech is the most familiar and habitual way of communication used by most of us. Due to speech disabilities, many people find it difficult to properly voice their views and thus are at a disadvantage. The research tackles the issue of lack of speech from a speech impaired user by recognizing it with the use of ML models such as Gaussian Mixture Model -
Siddesh Shisode +6 more
openaire +2 more sources
Investigation of an Acceleration Pipeline for Single Fiber Action Potential Simulation
Current Directions in Biomedical Engineering, 2022 Surface electromyography (sEMG) records the electrical potentials on the skin surface generated by the electrical activity of muscle fibers. To better understand physiology and to assess signal processing algorithms, sEMG models have been developed in ...
Oltmann Andra +3 more
doaj +1 more source
SE-TCN network for continuous estimation of upper limb joint angles
Mathematical Biosciences and Engineering, 2023 The maturity of human-computer interaction technology has made it possible to use surface electromyographic signals (sEMG) to control exoskeleton robots and intelligent prostheses.
Xiaoguang Liu +5 more
doaj +1 more source
sEMG dataset of routine activities
Data in Brief, 2020 In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow.
Asad Mansoor Khan +3 more
openaire +3 more sources
Bayesian sequential experimental design for binary response data with application to electromyographic experiments [PDF]
, 2014 We develop a sequential Monte Carlo approach for Bayesian analysis of the experimental design for binary response data. Our work is motivated by surface electromyographic (SEMG) experiments, which can be used to provide information about the ...
Azadi, Nammam Ali +3 more
core +7 more sources
Advanced Hand Gesture Prediction Robust to Electrode Shift with an Arbitrary Angle
Sensors, 2020 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]
Computational Intelligence and Neuroscience, 2016 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