Arabic Digit Sequential Electromyography (ADSE)

The dataset Arabic Digit Sequential Electromyography (ADSE) is acquired for eight-lead sEMG data targeting sequential signals. This dataset consists of two parts: the static part, which is the acquisition of static signals when the hand is positioned in center, up, down, left, right, with each subject being acquired 10 times for each state of action, each lasting 20 seconds; and the sequential part, which involves subjects drawing Arabic digits 0~9 in the air, with the whole process of sequential signal acquisition, each digit being acquired 100 times by each subject, each time lasting 5 seconds.

If you plan to use this dataset in a published work, please cite this article:

@ARTICLE{10879097,

author={Li, Zhilin and Chen, Xianghe and Li, Jie and Bai, Zhongfei and Ji, Hongfei and Liu, Lingyu and Jin, Lingjing},

journal={IEEE Journal of Biomedical and Health Informatics},

title={Sequential sEMG Recognition With Knowledge Transfer and Dynamic Graph Network Based on Spatio-Temporal Feature Extraction Network},

year={2025},

volume={29},

number={2},

pages={887-899},

keywords={Electric potential;Statistical analysis;Medical services;Muscles;Stroke (medical condition);Feature extraction;Electromyography;Reliability;Signal analysis;Knowledge transfer;Surface electromyograph;sequential feature analysis;spatio-temporal feature extraction;dynamic graph network;knowledge transfer},

doi={10.1109/JBHI.2024.3457026}}

The specific link is: https://ieeexplore.ieee.org/abstract/document/10879097

If you have any questions about this dataset, please contact lizhilin@tongji.edu.cn or zhilinli_seth@163.com (recommended).