Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability

Baivab Bhandari, Shadman Tahmid, James Yang

Open source

DOI
10.1115/1.4072487
Published
2026-08-26
Container
Journal of Biomechanical Engineering
Publisher
ASME International
Open access
unknown

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BibTeX

@article{allodium:10.1115/1.4072487,
  title = {Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability},
  author = {Baivab Bhandari and Shadman Tahmid and James Yang},
  year = {2026},
  journal = {Journal of Biomechanical Engineering},
  doi = {10.1115/1.4072487},
  url = {https://doi.org/10.1115/1.4072487}
}

RIS

TY  - JOUR
TI  - Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability
AU  - Baivab Bhandari
AU  - Shadman Tahmid
AU  - James Yang
PY  - 2026
JO  - Journal of Biomechanical Engineering
DO  - 10.1115/1.4072487
UR  - https://doi.org/10.1115/1.4072487
ER  - 

APA

Bhandari, B., Tahmid, S., & Yang, J. (2026). Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.4072487

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