A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography-Reference-Cited by-同舟云学术

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A Comparison of Day-Long Recording Stability and Muscle Force Prediction between BSN-Based Mechanomyography and Electromyography

Published:2014-06 Issue: Volume: Page:
ISSN:
Container-title:2014 11th International Conference on Wearable and Implantable Body Sensor Networks
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Author:

Gavriel Constantinos,Faisal A. Aldo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6853538/6855596/06855619.pdf?arnumber=6855619

Cited by 7 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. Human–Machine Interaction Technology for Simultaneous Gesture Recognition and Force Assessment: A Review;IEEE Sensors Journal;2023-11-15

2. Hand Force Estimation from Acoustic Myography Using Deep Wavelet Scattering Transform and Long Short-Term Memory;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. An Investigation of Acoustic Chamber Design for Recording AMG Signal;2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2023-04-29

4. HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks;2021 10th International IEEE/EMBS Conference on Neural Engineering (NER);2021-05-04

5. Gaussian Process Autoregression for Simultaneous Proportional Multi-Modal Prosthetic Control With Natural Hand Kinematics;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2017-10

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