Correcting Temporal Inaccuracies in Labeled Training Data for Electromyographic Control Algorithms-Reference-Cited by-同舟云学术

Correcting Temporal Inaccuracies in Labeled Training Data for Electromyographic Control Algorithms

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Rehabilitation Robotics (ICORR)
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Author:

Wang Aaron T.¹,Olsen Connor D.²,Hamrick W. Caden³,George Jacob A.⁴

Affiliation:

1. University of Utah,Department of Physical Medicine and Rehabilitation,Salt Lake City,UT,USA,84112

2. University of Utah,Department of Electrical and Computer Engineering,Salt Lake City,UT,USA,84112

3. Mercer University,Department of Electrical and Computer Engineering,Macon,GA,USA,31207

4. University of Utah,Departments of Electrical and Computer Engineering, Physical Medicine and Rehabilitation, Biomedical Engineering, and Mechanical Engineering,Salt Lake City,UT,USA,84112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10304677/10304678/10304728.pdf?arnumber=10304728

Reference21 articles.

1. Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder;krasoulis;Frontiers in Neuroscience,0

2. A Real-Time Pattern Recognition Based Myoelectric Control Usability Study Implemented in a Virtual Environment

3. Inexpensive Surface Electromyogrpahy Sleeve With Consistent Electrode Placement Enables Dexterous and Stable Prosthetic Control Through Deep Learning;george;MEC20 Symposium,0

4. Online mapping of EMG signals into kinematics by autoencoding

5. USER-SPECIFIC MIRROR TRAINING CAN IMPROVE MYOELECTRIC PROSTHESIS CONTROL;tully;Myoelectric Controls Symp,0

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1. Validity and Impact of Methods for Collecting Training Data for Myoelectric Prosthetic Control Algorithms;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024