Assessing Workload in Using Electromyography (EMG)-based Prostheses.
Sign Up to like & getrecommendations! Published in 2023 at "Ergonomics"
DOI: 10.1080/00140139.2023.2221413
Abstract: Using prosthetic devices requires substantial cognitive workload. This study investigated classification models for assessing cognitive workload in electromyography (EMG)-based prosthetic devices with various types of input features including eye-tracking measures, task performance, and cognitive performance… read more here.
Keywords: workload; electromyography emg; emg based; cognitive workload ... See more keywords
On EMG Based Dexterous Robotic Telemanipulation: Assessing Machine Learning Techniques, Feature Extraction Methods, and Shared Control Schemes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206436
Abstract: Electromyography (EMG) signals are commonly used for the development of Muscle Machine Interfaces. EMG-based solutions provide intuitive and often hand-free control in a wide range of applications that range from the decoding of human intention… read more here.
Keywords: time; telemanipulation; machine; control ... See more keywords
Harnessing Machine Learning and Physiological Knowledge for a Novel EMG-Based Neural-Machine Interface
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3210892
Abstract: Objective: In this study, we aimed to develop a novel electromyography (EMG)-based neural machine interface (NMI), called the Neural Network-Musculoskeletal hybrid Model (N2M2), to decode continuous joint angles. Our approach combines the concepts of machine… read more here.
Keywords: emg; machine; machine learning; based neural ... See more keywords
Comparing EMG-Based Human-Machine Interfaces for Estimating Continuous, Coordinated Movements
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2019.2937929
Abstract: Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous control with multiple degrees of freedom. Emerging methods range from data-driven approaches to biomechanical model-based methods. However, there has been no direct comparison between these two types… read more here.
Keywords: emg signals; based human; emg based; emg ... See more keywords
EMG-Based Characterization of Walking Asymmetry in Children with Mild Hemiplegic Cerebral Palsy
Sign Up to like & getrecommendations! Published in 2019 at "Biosensors"
DOI: 10.3390/bios9030082
Abstract: Hemiplegia is a neurological disorder that is often detected in children with cerebral palsy. Although many studies have investigated muscular activity in hemiplegic legs, few EMG-based findings focused on unaffected limb. This study aimed to… read more here.
Keywords: cerebral palsy; mild hemiplegic; foot floor; emg based ... See more keywords