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A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time
Research article (Frontiers in Neuroscience, 2024) · cited 11× · AI/ML
A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time
Summary
A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time is a scholarly article[1].
Key Facts
A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-bi-gru-attention-neural-network-to-identify-motor-units-from-high-density-surface-electromyographic-signals-in-real-ti
MLA“A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-bi-gru-attention-neural-network-to-identify-motor-units-from-high-density-surface-electromyographic-signals-in-real-ti.
BibTeX@misc{4ortxyz_a-bi-gru-attention-neural-network-to-identify-motor-units-from-high-density-surface-electromyographic-signals-in-real-ti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time}}, year = {2026}, url = {https://4ort.xyz/entity/a-bi-gru-attention-neural-network-to-identify-motor-units-from-high-density-surface-electromyographic-signals-in-real-ti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Bi-GRU-attention neural network to identify motor units from high-density surface electromyographic signals in real time — https://4ort.xyz/entity/a-bi-gru-attention-neural-network-to-identify-motor-units-from-high-density-surface-electromyographic-signals-in-real-ti (retrieved 2026-05-24)
