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Real-Time Control of an Exoskeleton Hand Robot with Myoelectric Pattern Recognition

https://doi.org/10.1142/s0129065717500095
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2009.116openalex-snapshot
Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
inferredcites →https://doi.org/10.1002/mus.20285openalex-snapshot
Pathophysiology of spastic paresis. II: Emergence of muscle overactivity
inferredcites →https://doi.org/10.1007/s12541-012-0107-2openalex-snapshot
Current hand exoskeleton technologies for rehabilitation and assistive engineering
inferredcites →https://doi.org/10.1016/j.bspc.2007.07.009openalex-snapshot
Myoelectric control systems—A survey
inferredcites →https://doi.org/10.1016/j.bspc.2012.08.005openalex-snapshot
Pattern recognition of number gestures based on a wireless surface EMG system
inferredcites →https://doi.org/10.1016/j.jelekin.2006.08.006openalex-snapshot
Myoelectric signal processing for control of powered limb prostheses
inferredcites →https://doi.org/10.1016/j.jelekin.2012.06.005openalex-snapshot
Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes
inferredcites →https://doi.org/10.1016/j.jelekin.2013.07.007openalex-snapshot
The effects of post-stroke upper-limb training with an electromyography (EMG)-driven hand robot
inferredcites →https://doi.org/10.1016/j.medengphy.2014.01.005openalex-snapshot
Several practical issues toward implementing myoelectric pattern recognition for stroke rehabilitation
inferredcites →https://doi.org/10.1016/j.medengphy.2014.04.003openalex-snapshot
EMG feature assessment for myoelectric pattern recognition and channel selection: A study with incomplete spinal cord injury
inferredcites →https://doi.org/10.1016/j.medengphy.2014.09.008openalex-snapshot
Wiener filtering of surface EMG with a priori SNR estimation toward myoelectric control for neurological injury patients
inferredcites →https://doi.org/10.1016/j.medengphy.2016.04.004openalex-snapshot
Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects
inferredcites →https://doi.org/10.1088/1741-2560/10/4/046015openalex-snapshot
The effect of involuntary motor activity on myoelectric pattern recognition: a case study with chronic stroke patients
inferredcites →https://doi.org/10.1088/1741-2560/11/5/056025openalex-snapshot
Subspace based adaptive denoising of surface EMG from neurological injury patients
inferredcites →https://doi.org/10.1097/01.wco.0000200544.29915.ccopenalex-snapshot
Motor learning: its relevance to stroke recovery and neurorehabilitation
inferredcites →https://doi.org/10.1109/10.764942openalex-snapshot
Quantification of force abnormalities during passive and active-assisted upper-limb reaching movements in post-stroke hemiparesis
inferredcites →https://doi.org/10.1109/3468.618265openalex-snapshot
An anthropomorphic hand exoskeleton to prevent astronaut hand fatigue during extravehicular activities
inferredcites →https://doi.org/10.1109/icorr.2011.5975340openalex-snapshot
An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects: Task training system for stroke rehabilitation
inferredcites →https://doi.org/10.1109/jbhi.2013.2286455openalex-snapshot
sEMG-Based Joint Force Control for an Upper-Limb Power-Assist Exoskeleton Robot
inferredcites →https://doi.org/10.1109/tbme.2003.813539openalex-snapshot
A robust, real-time control scheme for multifunction myoelectric control
inferredcites →https://doi.org/10.1109/tbme.2005.856295openalex-snapshot
A Gaussian Mixture Model Based Classification Scheme for Myoelectric Control of Powered Upper Limb Prostheses
inferredcites →https://doi.org/10.1109/tbme.2012.2191551openalex-snapshot
High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation
inferredcites →https://doi.org/10.1109/tbme.2012.2198821openalex-snapshot
Intention-Based EMG Control for Powered Exoskeletons
inferredcites →https://doi.org/10.1109/thms.2014.2302794openalex-snapshot
A Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices
inferredcites →https://doi.org/10.1109/tnsre.2008.926707openalex-snapshot
Assistive Control System Using Continuous Myoelectric Signal in Robot-Aided Arm Training for Patients After Stroke
inferredcites →https://doi.org/10.1109/tnsre.2011.2181537openalex-snapshot
Relationship Between Clinical Assessments of Function and Measurements From an Upper-Limb Robotic Rehabilitation Device in Cervical Spinal Cord Injury
inferredcites →https://doi.org/10.1109/tnsre.2012.2218832openalex-snapshot
A Novel Myoelectric Pattern Recognition Strategy for Hand Function Restoration After Incomplete Cervical Spinal Cord Injury
inferredcites →https://doi.org/10.1109/tnsre.2014.2305097openalex-snapshot
Real-Time and Simultaneous Control of Artificial Limbs Based on Pattern Recognition Algorithms
inferredcites →https://doi.org/10.1109/toh.2015.2417570openalex-snapshot
An EMG-Controlled Robotic Hand Exoskeleton for Bilateral Rehabilitation
inferredcites →https://doi.org/10.1111/apha.12153openalex-snapshot
Human spinal cord injury: motor unit properties and behaviour
inferredcites →https://doi.org/10.1113/jphysiol.2011.220103openalex-snapshot
Firing patterns of spontaneously active motor units in spinal cord‐injured subjects
inferredcites →https://doi.org/10.1142/s0129065714500221openalex-snapshot
EXTRACTION OF NEURAL CONTROL COMMANDS USING MYOELECTRIC PATTERN RECOGNITION: A NOVEL APPLICATION IN ADULTS WITH CEREBRAL PALSY
inferredcites →https://doi.org/10.1142/s0129065715500094openalex-snapshot
Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal Extraction
inferredcites →https://doi.org/10.1142/s0129065715500240openalex-snapshot
Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings
inferredcites →https://doi.org/10.1142/s012906571550029xopenalex-snapshot
Distributed One-Class Support Vector Machine
inferredcites →https://doi.org/10.1152/jn.00178.2007openalex-snapshot
Decoding a New Neural–Machine Interface for Control of Artificial Limbs
inferredcites →https://doi.org/10.1177/1073858414549015openalex-snapshot
Brain–Computer Interface after Nervous System Injury
inferredcites →https://doi.org/10.1177/1545968309338191openalex-snapshot
A Comparison Between Electromyography-Driven Robot and Passive Motion Device on Wrist Rehabilitation for Chronic Stroke
inferredcites →https://doi.org/10.1186/1475-925x-9-41openalex-snapshot
Surface EMG pattern recognition for real-time control of a wrist exoskeleton
inferredcites →https://doi.org/10.1186/1743-0003-10-52openalex-snapshot
Myoelectrically controlled wrist robot for stroke rehabilitation
inferredcites →https://doi.org/10.1186/1743-0003-7-36openalex-snapshot
Development and pilot testing of HEXORR: Hand EXOskeleton Rehabilitation Robot
inferredcites →https://doi.org/10.1191/0269215504cr843oaopenalex-snapshot
The impact of physical therapy on functional outcomes after stroke: what's the evidence?
inferredcites →https://doi.org/10.1371/journal.pone.0127990openalex-snapshot
Robust Muscle Activity Onset Detection Using an Unsupervised Electromyogram Learning Framework
inferredcites →https://doi.org/10.1515/revneuro-2013-0032openalex-snapshot
Brain-computer interface technologies: from signal to action
inferredcites →https://doi.org/10.1615/critrevbiomedeng.v38.i4.20openalex-snapshot
Advances in Surface EMG: Recent Progress in Clinical Research Applications
inferredcites →https://doi.org/10.3109/17483107.2013.873491openalex-snapshot
Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-Modal Interaction and Human Motion Intention Recognition Method for a Mechanical Hand in Different Environment
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Real-Time Detection of Myoelectric Hand Patterns for an Incomplete Spinal Cord Injured Subject
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Face Movement
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Discussion
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Human Grasping Force Prediction Based on Surface Electromyography Signals
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Deep Learning-Enabled Swallowing Monitoring and Postoperative Recovery Biosensing System
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Kinematics-Based Control of an Inflatable Soft Wearable Robot for Assisting the Shoulder of Industrial Workers
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Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke
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Voluntary Control of an Ankle Joint Exoskeleton by Able-Bodied Individuals and Stroke Survivors Using EMG-Based Admittance Control Scheme
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Myoelectric Pattern Recognition Based on Muscle Synergies for Simultaneous Control of Dexterous Finger Movements
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Admittance Control Based on EMG-Driven Musculoskeletal Model Improves the Human–Robot Synchronization
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A Myoelectric Control Interface for Upper-Limb Robotic Rehabilitation Following Spinal Cord Injury
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A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb
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Maximizing the Information Transfer Rate of a Myoelectric Classification System for Individuals With Spinal Cord Injury
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Botulinum toxin treatment may improve myoelectric pattern recognition in robot-assisted stroke rehabilitation
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