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Reconstruction and recognition accuracy for different muscles.

NIAID Data Ecosystem2026-03-07 收录

肌电信号处理

肌肉动作识别

数据链接：

https://figshare.com/articles/dataset/_Reconstruction_and_recognition_accuracy_for_different_muscles_/556905 数据链接链接失效反馈

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资源简介：

Reconstruction and recognition accuracy for different muscles.

应用场景：

创建时间：

2013-02-21

运动单元识别

肌电信号处理

This is an example data set for validation of motor unit identification using deep CNN. The data set includes HD-EMG and spike trains identified through blind source separation from 3 repeats of i

Figshare2021-03-08 更新30

Data for: Intermuscular Coherence between Surface EMG Signals recorded with Monopolar and Bipolar EMG Systems during Squatting

肌电信号处理

运动生物力学

This dataset contains raw EMG / goniometer data as well as a processed data sheet from a study with the research question how different EMG recording techniques affect the intermuscular coherence betw

Mendeley Data20

The recognition performance of subject 4.

手部运动识别

肌电信号处理

Hand motion intention recognition has been considered as one of the crucial research fields for prosthetic control and rehabilitation medicine. In recent years, surface electromyogram (sEMG) signals t

NIAID Data Ecosystem10

Statistical EMG onset detection methodologies examined and the iterative settings used for each methodology.

肌电信号处理

起始点检测

Statistical EMG onset detection methodologies examined and the iterative settings used for each methodology.

NIAID Data Ecosystem20

The mean and STD results of time-frequency features by WT-based SVD approach based on experimental trails from all participants on the vastus medialis muscle.

肌电信号处理

肌肉活动分析

The mean and STD results of time-frequency features by WT-based SVD approach based on experimental trails from all participants on the vastus medialis muscle.

Figshare2017-07-11 更新20

Reconstruction and recognition accuracy for different muscles.

资源简介：

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