HD-sEMG-CORE: An Open-Source Hybrid Network Algorithm for Efficient Compression and Accurate Restoration of High-Density Surface Electromyography Signals

High-density surface electromyography (HD-sEMG) provides distinct advantages over traditional bipolar sEMG, including improved spatial resolution and enhanced localization of muscle activity. However, the collection of HD-sEMG signals requires the use of multiple electrodes over a small skin area, r...

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Veröffentlicht in:	IEEE sensors journal 2025, p.1-1
Hauptverfasser:	Zhao, Yongkun, Liu, Zhuo, Yu, Jinyang, Jing, Shibo, Li, Honghan, Lopez, Miguel Bordallo
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Conductivity Convolutional neural networks Electrodes Electromyography generative adversarial network High-density surface electromyography Image reconstruction machine learning Muscles Sensor phenomena and characterization signal compression signal restoration Skin Spatial resolution variational autoencoder
Online-Zugang:	Volltext
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