Proportional and Simultaneous Real-Time Control of the Full Human Hand From High-Density Electromyography

Author:

Sîmpetru Raul C.1ORCID,März Michael1ORCID,Del Vecchio Alessandro1ORCID

Affiliation:

1. Department Artificial Intelligence in Biomedical Engineering (AIBE), Neuromuscular Physiology and Neural Interfacing (N-squared) Laboratory, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Funder

German Ministry for Education and Research (BMBF) through the Project MYOREHAB

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals;2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA);2024-06-14

2. Influence of spatio-temporal filtering on hand kinematics estimation from high-density EMG signals *;Journal of Neural Engineering;2024-03-25

3. Simultaneous and Proportional Control of Wrist and Hand Movements Based on a Neural-Driven Musculoskeletal Model;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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