Empirical Myoelectric Feature Extraction and Pattern Recognition in Hemiplegic Distal Movement Decoding.

Bioengineering (Basel) · 2023 · PMC10376258 · PMID 37508895

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highly significantp < 0.001actually significant

Discussion We found, using a low-channel system, that our novel approach in feature selection has a highly significant ( p < 0.001) performance increase of 10–17% in gesture prediction compared to the state-of-art feature extraction methods as shown in Figure 7 .

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