A portable, self-contained neuroprosthetic hand with deep learning-based finger control-Reference-Cited by-同舟云学术

A portable, self-contained neuroprosthetic hand with deep learning-based finger control

Published:2021-10-01 Issue:5 Volume:18 Page:056051
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Nguyen Anh Tuan^ORCID,Drealan Markus W^ORCID,Khue Luu Diu^ORCID,Jiang Ming^ORCID,Xu Jian^ORCID,Cheng Jonathan^ORCID,Zhao Qi^ORCID,Keefer Edward W^ORCID,Yang Zhi

Funder

NSF

DARPA

NIH

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

https://iopscience.iop.org/article/10.1088/1741-2552/ac2a8d/pdf

Reference40 articles.

1. A deep learning framework for decoding motor imagery tasks of the same hand using EEG signals;Alazrai;IEEE Access,2019

2. Deep learning with convolutional neural networks applied to electromyography data: a resource for the classification of movements for prosthetic hands;Atzori;Front. Neurorobot.,2016

3. Performance limitations from delay in human and mechanical motor control;Beamish;Biol. Cybern.,2008

4. Portable take-home system enables proportional control and high-resolution data logging with a multi-degree-of-freedom bionic arm;Brinton;Front. Robot. AI,2020

5. Dexterous hand control through fascicular targeting (HAPTIX-DEFT): level 4 evidence;Cheng;J. Hand Surg.,2017

Cited by 18 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 compact solution for vibrotactile proprioceptive feedback of wrist rotation and hand aperture;Journal of NeuroEngineering and Rehabilitation;2024-08-13

2. 0.279 nW fourth-order filter circuit for biological signal conditioning;AIP Advances;2024-06-01

3. sEMG Signal-Based Prosthetic Hand Control Using Embedded Machine Learning with Deep Neural Network;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

4. Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality;Frontiers in Neuroscience;2024-04-26

5. Effects of Training and Calibration Data on Surface Electromyogram-Based Recognition for Upper Limb Amputees;Sensors;2024-01-31