Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps

<p>Dataset&nbsp;analyzed in the study &quot;Toward Early and Objective Hand Osteoarthritis Detection by using EMG during grasps&quot;. Use of the data requires proper reference to [1].</p> <p>Dataset contains Electromyographic data from forearm, recorded with an 8-channel sEMG Biometrics Ltd. device. The fields contained in the structure are those detailed in the following scheme::</p> <ul> <li>Group: 0 for healthy subjects; 1 for HOA patients</li> <li>Subject: subject ID;</li> <li>Grasp: grasp ID, according to Figure 1 [1];</li> <li>Raw EMG data (7 columns): Raw sEMG data without any filter and not resampled, for the seven representative spot areas according to [2].</li> </ul> <p>[1] Jarque-Bou, N.J.; Gracia-Ib&aacute;&ntilde;ez, V.; Roda-Sales, A.; Bayarri-Porcar, V.; Sancho-Bru, J.L.; Vergara, M. Toward Early and Objective Hand Osteoarthritis Detection by Using EMG during Grasps.&nbsp;<em>Sensors</em>&nbsp;<strong>2023</strong>,&nbsp;<em>23</em>, 2413. https://doi.org/10.3390/s23052413</p> <p>[2] Jarque-Bou, N. J., Vergara, M., Sancho-Bru, J. L., Alba, R.-S. &amp; Gracia-Ib&aacute;&ntilde;ez, V. Identification of forearm skin zones with similar muscle activation patterns during activities of daily living.&nbsp;<em>J. NeuroEngineering Rehabil.&nbsp;</em>(2018).</p> <p>&nbsp;</p>