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  Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric Control

Franzke, A. W., Kristoffersen, M. B., Jayaram, V., van der Sluis, C. K., Murgia, A., & Bongers, R. M. (2020). Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 21-30. doi:10.1109/TNSRE.2020.3029873.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-0731-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0732-3
Genre: Journal Article

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Locator:
https://doi.org/10.1109/TNSRE.2020.3029873 (Publisher version)
Description:
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OA-Status:
Gold

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 Creators:
Franzke, Andreas W.1, Author
Kristoffersen, Morten B.1, Author
Jayaram, Vinay2, Author           
van der Sluis, Corry K.1, Author
Murgia, Alessio1, Author
Bongers, Raoul M.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2020-10-09
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TNSRE.2020.3029873
BibTex Citekey: VinJay_etal_CD20
 Degree: -

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Project name : INPUT
Grant ID : 687795
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 29 Sequence Number: - Start / End Page: 21 - 30 Identifier: ISSN: 1558-0210
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000223200