Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation.

Xiong B, Guo Y, Lou J, Gan Z, Zhang J, Su Z

Open source

DOI
10.1038/s41598-026-42722-6
Published
2026 Mar 17
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-42722-6,
  title = {Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation.},
  author = {Xiong B and Guo Y and Lou J and Gan Z and Zhang J and Su Z},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-42722-6},
  url = {https://doi.org/10.1038/s41598-026-42722-6}
}

RIS

TY  - JOUR
TI  - Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation.
AU  - Xiong B
AU  - Guo Y
AU  - Lou J
AU  - Gan Z
AU  - Zhang J
AU  - Su Z
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-42722-6
UR  - https://doi.org/10.1038/s41598-026-42722-6
ER  - 

APA

B, X., Y, G., J, L., Z, G., J, Z., & Z, S. (2026). Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation.. Scientific reports. https://doi.org/10.1038/s41598-026-42722-6

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