ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2016
A Novel Framework Based on FastICA for High Density Surface EMG Decomposition.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Pooled it
- Stretch versus shortening contractions subsequently decrease versus increase neural drive to the human tibialis anterior.Experimental physiology · 2026Article
- SR-FSL: Sample reconstruction enhanced few-shot learning for real-time motor unit identification from surface electromyogram.Journal of neuroengineering and rehabilitation · 2026Article
- Hybrid sEMG decomposition method integrating gradient convolution kernel compensation and correlation-constrained FastICA.Journal of neuroengineering and rehabilitation · 2026Article
- Adaptation of motor unit synergies in the synergetic ankle plantarflexors in ambulatory persons with incomplete spinal cord injury.Journal of neuroengineering and rehabilitation · 2026Article
- Leveraging neural drive to assess hand motor function in individuals with chronic stroke.Journal of neuroengineering and rehabilitation · 2026Article
- Generalizable gesture classification of HDsEMG using volume representations of muscles averaged across multiple individuals.Scientific reports · 2025Article
- Neuromuscular adaptations in soleus and tibialis anterior muscles in persons with spinal cord injury.Journal of neuroengineering and rehabilitation · 2025Article
- A single low-dimensional neural component of spinal motor neuron activity explains force generation across repetitive isometric tasks.iScience · 2025Article
- In vivo estimation of motor unit intrinsic properties in individuals with spinal cord injury.Journal of neuroengineering and rehabilitation · 2025Article
- Toward Hand Gesture Recognition Using a Channel-Wise Cumulative Spike Train Image-Driven Model.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Article
- Online prediction of sustained muscle force from individual motor unit activities using adaptive surface EMG decomposition.Journal of neuroengineering and rehabilitation · 2024Article
- Inferring position of motor units from high-density surface EMG.Scientific reports · 2024Article
- Surface EMG in China: a report on the 2023 surface EMG symposium.Frontiers in rehabilitation sciences · 2024Article
- Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.Scientific reports · 2023Article
- High-density Surface and Intramuscular EMG Data from the Tibialis Anterior During Dynamic Contractions.Scientific data · 2023Article
- Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separation.Biomedical engineering online · 2023Article
- Electromyography-Force Relation and Muscle Fiber Conduction Velocity Affected by Spinal Cord Injury.Bioengineering (Basel, Switzerland) · 2023Article
- Functional force stimulation alters motor neuron discharge patterns.Frontiers in neuroscience · 2023Article
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2 authors.
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Abstract
This study presents a progressive FastICA peel-off (PFP) framework for high-density surface electromyogram (EMG) decomposition. The novel framework is based on a shift-invariant model for describing surface EMG. The decomposition process can be viewed as progressively expanding the set of motor unit spike trains, which is primarily based on FastICA. To overcome the local convergence of FastICA, a peel-off strategy, i.e., removal of the estimated motor unit action potential trains from the previous step, is used to mitigate the effects of the already identified motor units, so more motor units can be extracted. A constrained FastICA is applied to assess the extracted spike trains and correct possible erroneous or missed spikes. These procedures work together to improve decomposition performance. The proposed framework was validated using simulated surface EMG signals with different motor unit numbers (30, 70, 91) and SNRs (20, 10, and 0 dB). The results demonstrated relatively large numbers of extracted motor units and high accuracies (high F1-scores). The framework was tested with 111 trials of 64-channel electrode array experimental surface EMG signals during the first dorsal interosseous muscle contraction at different intensities. On average 14.1 ±5.0 motor units were identified from each trial of experimental surface EMG signals.
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