Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices-Reference-Cited by-同舟云学术

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Resource-Efficient Neural Network Architectures for Classifying Nerve Cuff Recordings on Implantable Devices

Published:2024-02 Issue:2 Volume:71 Page:631-639
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Hwang Yi-Chin E.¹^ORCID,Genov Roman²^ORCID,Zariffa José³^ORCID

Affiliation:

1. Institute of Biomedical Engineering, University of Toronto, Canada

2. Edward S. Rogers Senior Department of Electrical and Computer Engineering, University of Toronto, Canada

3. Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada

Funder

University of Toronto

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10410108/10241988.pdf?arnumber=10241988

Reference36 articles.

1. The Proprioceptive Senses: Their Roles in Signaling Body Shape, Body Position and Movement, and Muscle Force

2. Functional Electrical Stimulation for Neuromuscular Applications

3. Utilizing Physiological Principles of Motor Unit Recruitment to Reduce Fatigability of Electrically-Evoked Contractions: A Narrative Review

4. Selective Nerve Cuff Stimulation Strategies for Prolonging Muscle Output

5. Real-time control of hind limb functional electrical stimulation using feedback from dorsal root ganglia recordings

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. Closed-Loop Control of Functional Electrical Stimulation Using a Selectively Recording and Bidirectional Nerve Cuff Interface;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

2. Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC;IEEE Transactions on Biomedical Circuits and Systems;2023-12

3. Artificially-Intelligent Fascicle-Selective Bidirectional Peripheral Nerve Interfaces;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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