A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains
- DOI
- 10.1142/s012906572650036x
- Published
- 2026-05-13
- Container
- International Journal of Neural Systems
- Publisher
- World Scientific Pub Co Pte Ltd
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1142/s012906572650036x,
title = {A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains},
author = {Yunfei Liu and Xu Zhang and Haowen Zhao and Xiang Chen and Ping Zhou},
year = {2026},
journal = {International Journal of Neural Systems},
doi = {10.1142/s012906572650036x},
url = {https://doi.org/10.1142/s012906572650036x}
}RIS
TY - JOUR TI - A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains AU - Yunfei Liu AU - Xu Zhang AU - Haowen Zhao AU - Xiang Chen AU - Ping Zhou PY - 2026 JO - International Journal of Neural Systems DO - 10.1142/s012906572650036x UR - https://doi.org/10.1142/s012906572650036x ER -
APA
Liu, Y., Zhang, X., Zhao, H., Chen, X., & Zhou, P. (2026). A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains. International Journal of Neural Systems. https://doi.org/10.1142/s012906572650036x
Source records
- crossref · retrieved 2026-09-25T23:50:43.865Z