Surface EMG data from seven representative forearm areas during seven grasps relevant for personal autonomy

<p>This dataset contains 3150 data of four sEMG characteristics: muscle activity, zero crossing, enhanced wavelength and enhanced mean absolute value. while performing seven grasp types. Data were recorded using surface EMG electrodes from seven representative forearm areas.&nbsp;</p> <p>Data are presented as a&nbsp; Matlab data structure (<em>.mat</em>&nbsp;file). This structure contains the four sEMG characteristics classified as: subject, grasp, repetition and spot area. The fields contained in the structure are those detailed in the following scheme:</p> <ul> <li>Subject: subject ID;</li> <li>Grasp: Grasp ID;</li> <li>Repetition: Repetition of each grasp,&nbsp;from 1 to 3.</li> <li>Spot area: Spot ID for the seven representative spot areas, according to [1].</li> <li>FZC:&nbsp;zero crossing</li> <li>EWL:&nbsp;enhanced wavelength</li> <li>EMAV:&nbsp;enhanced mean absolute value</li> <li>AM: Muscle activity</li> </ul> <p>[1] 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>