Denoising and decoding spontaneous vagus nerve recordings with machine learning-Reference-Cited by-同舟云学术

Denoising and decoding spontaneous vagus nerve recordings with machine learning

Published:2023-07-24 Issue: Volume: Page:
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Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Ribeiro Mafalda¹,Koh Ryan G. L.²,Donnelly Tom¹,Lutteroth Christof¹,Proulx Michael J.¹,Rocha Paulo R. F.³,Metcalfe Benjamin¹

Affiliation:

1. University of Bath,Centre for Accountable, Responsible, and Transparent AI (ART-AI),Department of Computer Science,UK

2. KITE Research Institute, Toronto Rehabilitation Institute – University Health Network,Toronto,Canada

3. University of Coimbra,Centre for Functional Ecology-Science for People & the Planet, Associated Laboratory TERRA,Department of Life Sciences,Coimbra,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340443.pdf?arnumber=10340443

Reference14 articles.

1. A review for the peripheral nerve interface designer

2. The Present and Future of Vagus Nerve Stimulation

3. Sacral Anterior Root Stimulation and Visceral Function Outcomes in Spinal Cord Injury–A Systematic Review of the Literature Over Four Decades

4. Peripheral Nerve Signal Processing, Denoising

5. Systematic analysis of wavelet denoising methods for neural signal processing

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