The classification of movement intention through machine learning models: the identification of significant time-domain EMG features

Research article (PeerJ Computer Science, 2021) · cited 56× · AI/ML
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The classification of movement intention through machine learning models: the identification of significant time-domain EMG features

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The classification of movement intention through machine learning models: the identification of significant time-domain EMG features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The classification of movement intention through machine learning models: the identification of significant time-domain EMG features. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-classification-of-movement-intention-through-machine-learning-models-the-identification-of-significant-time-domain-e
MLA “The classification of movement intention through machine learning models: the identification of significant time-domain EMG features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-classification-of-movement-intention-through-machine-learning-models-the-identification-of-significant-time-domain-e.
BibTeX @misc{4ortxyz_the-classification-of-movement-intention-through-machine-learning-models-the-identification-of-significant-time-domain-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The classification of movement intention through machine learning models: the identification of significant time-domain EMG features}}, year = {2026}, url = {https://4ort.xyz/entity/the-classification-of-movement-intention-through-machine-learning-models-the-identification-of-significant-time-domain-e}, note = {Accessed: 2026-05-24}}
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