Article

Data Augmentation and Deep Learning Techniques to Improve Interface Noise Tolerance of Myoelectric Pattern Recognition Controllers

2022-02-04

Abstract excerpt

<h4>Background: </h4> Clinically available myoelectric PR controllers deteriorate under conditions that generate interface noise, such as electrode liftoff or wire failure. Previous solutions relied on additional processing steps like signal denoising and controller adaptation to mitigate these negative effects. However, there are no clinically practical controllers that are inherently robust to interface noise. T...

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Literature Corpus work: 25436202-550b-510b-847f-f0f4bbef9d4a
DOI: 10.21203/rs.3.rs-1318759/v1

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Data Augmentation and Deep Learning Techniques to Improve Interface Noise Tolerance of Myoelectric Pattern Recognition ControllersDOI 10.21203/rs.3.rs-1318759/v1Read

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