Machine learning methods for electromyography error detection in field research: An application in full-shift field assessment of shoulder muscle activity in apple harvesting workers.
Sign Up to like & getrecommendations! Published in 2021 at "Applied ergonomics"
DOI: 10.1016/j.apergo.2021.103607
Abstract: This study presented an alternative technique for processing electromyography (EMG) data with sporadic errors due to challenges associated with the field collection of EMG data. The application of this technique was used to detect errors,… read more here.
Keywords: field; apple harvesting; application; shoulder ... See more keywords
Compression of EMG Signals Using Deep Convolutional Autoencoders
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3142034
Abstract: Efficient storage and transmission of electromyogram (EMG) data are important for emerging applications such as telemedicine and big data, as a vital tool for further advancement of the field. However, due to limitations in internet… read more here.
Keywords: performance; deep convolutional; compression; convolutional autoencoders ... See more keywords
Resolving the effect of wrist position on myoelectric pattern recognition control
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DOI: 10.1186/s12984-017-0246-x
Abstract: BackgroundThe use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who often possess… read more here.
Keywords: hand; muscle; emg data; wrist position ... See more keywords
Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform
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DOI: 10.3389/fnbot.2022.856797
Abstract: Although we can measure muscle activity and analyze their activation patterns, we understand little about how individual muscles affect the joint torque generated. It is known that they are controlled by circuits in the spinal… read more here.
Keywords: physics; muscle; neurorobotics platform; activation patterns ... See more keywords
Electromyography Data Processing Impacts Muscle Synergies during Gait for Unimpaired Children and Children with Cerebral Palsy
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DOI: 10.3389/fncom.2017.00050
Abstract: Muscle synergies calculated from electromyography (EMG) data identify weighted groups of muscles activated together during functional tasks. Research has shown that fewer synergies are required to describe EMG data of individuals with neurologic impairments. When… read more here.
Keywords: processing impacts; data processing; processing; variance ... See more keywords