ReviewBMC biomedical engineering2019
Human motor decoding from neural signals: a review.
Review in BMC biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Bypass neural interfaces for paralysis: clinical translation, challenges and future directions.Journal of neuroengineering and rehabilitation · 2026Review
- Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model.Nature biomedical engineering · 2026Article
- From muscles to motion: the role of sensor layout and physiological factors in hand motion decoding.Scientific reports · 2026Article
- Spiking neural network decoders of finger forces from high-density intramuscular microelectrode arrays.Nature communications · 2026Article
- Classifying motion states from neural activity of non-human primates for brain-computer interfaces.Frontiers in neuroscience · 2026Article
- Chronically Stable, High-Resolution Micro-Electrocorticographic Brain-Computer Interfaces for Real-Time Motor Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross-Subject Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Classifying mental motor tasks from chronic ECoG-BCI recordings using phase-amplitude coupling features.Frontiers in human neuroscience · 2025Article
- Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement.Research (Washington, D.C.) · 2025Review
- DTCNet: finger flexion decoding with three-dimensional ECoG data.Frontiers in computational neuroscience · 2025Article
- Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design.Frontiers in human neuroscience · 2025Article
- Comparison metrics and power trade-offs for BCI motor decoding circuit design.Frontiers in human neuroscience · 2025Review
- Clinical, Safety, and Engineering Perspectives on Wearable Ultrasound Technology: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Review
- Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain-Computer Interface Application.Sensors (Basel, Switzerland) · 2024Article
- Human local field potentials in motor and non-motor brain areas encode upcoming movement direction.Communications biology · 2024Article
- Optimal reaching subject to computational and physical constraints reveals structure of the sensorimotor control system.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Exploring effects of anesthesia on complexity, differentiation, and integrated information in rat EEG.Neuroscience of consciousness · 2024Article
- Transcutaneous spinal cord stimulation modulates quiet standing in healthy adults: stimulation site and cognitive style matter.Frontiers in neuroscience · 2024Article
- A Hyperflexible Electrode Array for Long-Term Recording and Decoding of Intraspinal Neuronal Activity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Decoding force production of skeletal muscle from the female brain using functional near-infrared spectroscopy.BMC research notes · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding. We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Neural control signals can be intercepted at various points in the neural signal transduction pathway, including the brain (electroencephalography, electrocorticography, intracortical recordings), the nerves (peripheral nerve recordings) and the muscles (electromyography). We systematically discussed the sites of signal acquisition, available neural features, signal processing techniques and decoding algorithms in each of these potential interception points. Examples of applications and the current state-of-the-art performance were also reviewed. Although great strides have been made in human motor decoding, we are still far away from achieving naturalistic and dexterous control like our native limbs. Concerted efforts from material scientists, electrical engineers, and healthcare professionals are needed to further advance the field and make the technology widely available in clinical use.
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