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Estimating muscle activation from EMG using deep learning-based dynamical systems models.
Wimalasena, Lahiru N; Braun, Jonas F; Keshtkaran, Mohammad Reza; Hofmann, David; Gallego, Juan Álvaro; Alessandro, Cristiano; Tresch, Matthew C; Miller, Lee E; Pandarinath, Chethan.
Affiliation
  • Wimalasena LN; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States of America.
  • Braun JF; Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.
  • Keshtkaran MR; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Hofmann D; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, United States of America.
  • Gallego JÁ; Department of Physics, Emory University, Atlanta, GA, United States of America.
  • Alessandro C; Initiative in Theory and Modeling of Living Systems, Emory University, Atlanta, GA, United States of America.
  • Tresch MC; Department of Bioengineering, Imperial College London, London, United Kingdom.
  • Miller LE; Department of Physiology, Northwestern University, Chicago, IL, United States of America.
  • Pandarinath C; School of Medicine and Surgery/Sport and Exercise Medicine, University of Milano-Bicocca, Milan, Italy.
J Neural Eng ; 19(3)2022 05 19.
Article in En | MEDLINE | ID: mdl-35366649

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Neural Eng Journal subject: NEUROLOGIA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Neural Eng Journal subject: NEUROLOGIA Year: 2022 Document type: Article Affiliation country: Country of publication: