ArticleIEEE journal of biomedical and health informatics2015
Surface EMG decomposition based on K-means clustering and convolution kernel compensation.
Article in IEEE journal of biomedical and health informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Spatiotemporal Dual-Channel Interpretable Hybrid Neural Network for HD-sEMG-Based Gesture Recognition.Sensors (Basel, Switzerland) · 2026Article
- Online modulation of neural drive to lower motor neurons with high-definition transcranial alternating current stimulation (HD-tACS).Journal of neuroengineering and rehabilitation · 2026Article
- Characterization of motor unit activities during isometric elbow flexion with different speeds.Journal of neuroengineering and rehabilitation · 2025Article
- A motor unit action potential-based method for surface electromyography decomposition.Journal of neuroengineering and rehabilitation · 2025Article
- Does Muscle Pain Induce Alterations in the Pelvic Floor Motor Unit Activity Properties in Interstitial Cystitis/Bladder Pain Syndrome? A High-Density sEMG-Based Study.Sensors (Basel, Switzerland) · 2024Article
- Efficacy of High-Definition Transcranial Alternating Current Stimulation (HD-tACS) at the M1 Hotspot Versus C3 Site in Modulating Corticospinal Tract Excitability.Biomedicines · 2024Article
- Antagonist Activation Measurement in Triceps Surae Using High-Density and Bipolar Surface EMG in Chronic Hemiparesis.Sensors (Basel, Switzerland) · 2024Article
- Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review.National science review · 2023Review
- Motor Unit Number Estimation in Spastic Biceps Brachii Muscles of Chronic Stroke Survivors Before and After BoNT Injection.IEEE transactions on bio-medical engineering · 2023Article
- Customizable, reconfigurable, and anatomically coordinated large-area, high-density electromyography from drawn-on-skin electrode arrays.PNAS nexus · 2023Article
- Motor unit distribution and recruitment in spastic and non-spastic bilateral biceps brachii muscles of chronic stroke survivors.Journal of neural engineering · 2022Article
- A generic neural network model to estimate populational neural activity for robust neural decoding.Computers in biology and medicine · 2022Article
- [A new method for high-density surface electromyography decomposition in dynamic muscle contraction].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition.Sensors (Basel, Switzerland) · 2021Article
- High-density surface electromyographic assessment of pelvic floor hypertonicity in IC/BPS patients: a pilot study.International urogynecology journal · 2021Article
- Global Innervation Zone Identification With High-Density Surface Electromyography.IEEE transactions on bio-medical engineering · 2020Article
- Neural control properties of the external anal sphincter in young and elderly women.Neurourology and urodynamics · 2019Article
- Three dimensional innervation zone imaging in spastic muscles of stroke survivors.Journal of neural engineering · 2019Article
- Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points.Frontiers in computational neuroscience · 2019Article
- Innervation asymmetry of the external anal sphincter in aging characterized from high-density intra-rectal surface EMG recordings.Neurourology and urodynamics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A new approach has been developed by combining the K-mean clustering (KMC) method and a modified convolution kernel compensation (CKC) method for multichannel surface electromyogram (EMG) decomposition. The KMC method was first utilized to cluster vectors of observations at different time instants and then estimate the initial innervation pulse train (IPT). The CKC method, modified with a novel multistep iterative process, was conducted to update the estimated IPT. The performance of the proposed K-means clustering-Modified CKC (KmCKC) approach was evaluated by reconstructing IPTs from both simulated and experimental surface EMG signals. The KmCKC approach successfully reconstructed all 10 IPTs from the simulated surface EMG signals with true positive rates (TPR) of over 90% with a low signal-to-noise ratio (SNR) of -10 dB. More than 10 motor units were also successfully extracted from the 64-channel experimental surface EMG signals of the first dorsal interosseous (FDI) muscles when a contraction force was held at 8 N by using the KmCKC approach. A "two-source" test was further conducted with 64-channel surface EMG signals. The high percentage of common MUs and common pulses (over 92% at all force levels) between the IPTs reconstructed from the two independent groups of surface EMG signals demonstrates the reliability and capability of the proposed KmCKC approach in multichannel surface EMG decomposition. Results from both simulated and experimental data are consistent and confirm that the proposed KmCKC approach can successfully reconstruct IPTs with high accuracy at different levels of contraction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.