Multi-channel Surface EMG Dataset for Fatigue analysis
<p>This is the data used in paper "Upper Limb Muscle Fatigue Analysis Using Multi-channel Surface EMG" DOI: 10.1109/NILES50944.2020.9257909</p> <p>Data can be found as a txt files for each subject separately or can be found as .mat file with all subjects included.</p> <p>Data details:</p> <ul> <li>Sampling Frequency= 200 Hz </li> <li>8-Bit resolution</li> <li>15 Healthy Subjects </li> <li>6 Kg Load with elbow flexed to a 90 angle</li> <li>120 Seconds Duration</li> <li>8 channels sEMG </li> <li>50 Hz Notch Filtered</li> </ul> <p>For more details and citation:</p> <p>A. Ebied, A. M. Awadallah, M. A. Abbass and Y. El-Sharkawy, "Upper Limb Muscle Fatigue Analysis Using Multi-channel Surface EMG," 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020, pp. 423-427, doi: 10.1109/NILES50944.2020.9257909.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0