Review of electromyography onset detection methods for real-time control of robotic exoskeletons
CR Carvalho, JM Fernández, AJ Del-Ama… - … of neuroengineering and …, 2023 - Springer
Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …
activity associated with muscle contraction and is widely applied in Biomechanics …
[PDF][PDF] A Comprehensive Review of Electromyography in Rehabilitation: Detecting Interrupted Wrist and Hand Movements with a Robotic Arm Approach
Electromyography (EMG) is a diagnostic technique that measures the electrical activity
generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) …
generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) …
Muscles in action
Human motion is created by, and constrained by, our muscles. We take a first step at
building computer vision methods that represent the internal muscle activity that causes …
building computer vision methods that represent the internal muscle activity that causes …
Wearable electromyography classification of epileptic seizures: a feasibility study
Accurate diagnosis and classification of epileptic seizures can greatly support patient
treatments. As many epileptic seizures are convulsive and have a motor component, the …
treatments. As many epileptic seizures are convulsive and have a motor component, the …
Upper Extremity Muscle Activation Pattern Prediction Through Synergy Extrapolation and Electromyography-Driven Modeling
Patients with neuromuscular disease fail to produce necessary muscle force and have
trouble maintaining joint moment required to perform activities of daily living. Measuring …
trouble maintaining joint moment required to perform activities of daily living. Measuring …
[HTML][HTML] Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures
Objective To develop and evaluate machine learning (ML) approaches for muscle
identification using intraoperative motor evoked potentials (MEPs), and to compare their …
identification using intraoperative motor evoked potentials (MEPs), and to compare their …
Evaluating the Feasibility of Personalized Health Status Feedback to Enhance Worker Safety and Well-Being at Construction Jobsites
Advancements in wearable sensor technology and AI provide an excellent opportunity to
monitor the health status of construction workers on-site. However, there is still a lack of …
monitor the health status of construction workers on-site. However, there is still a lack of …
An efficient approach for EMG controlled pattern recognition system based on MUAP identification and segregation
An Electromyography (EMG) based pattern recognition system constitutes various steps of
signal processing and control engineering from signal acquisition to real-time control …
signal processing and control engineering from signal acquisition to real-time control …
Use of a wearable electromyography armband to detect lift-lower tasks and classify hand loads
We used an armband with embedded surface electromyography (sEMG) electrodes,
together with machine-learning (ML) models, to automatically detect lifting-lowering activities …
together with machine-learning (ML) models, to automatically detect lifting-lowering activities …
[HTML][HTML] Comparison of machine learning algorithms and feature extraction techniques for the automatic detection of surface EMG activation timing
VM Gallón, SM Vélez, J Ramírez, F Bolaños - … Signal Processing and …, 2024 - Elsevier
This paper presents a methodology for automatically detecting muscular activity by
denoising, extracting features, and classifying surface electromyography (sEMG) signals …
denoising, extracting features, and classifying surface electromyography (sEMG) signals …