Abstract
We present the SurfacE Electromyographic with hanD kinematicS (SEEDS) database. It contains electromyographic (EMG) signals and hand kinematics recorded from the forearm muscles of 25 non-disabled subjects while performing 13 different movements at normal and slow-paced speeds. EMG signals were recorded with a high-density 126-channel array centered on the extrinsic flexors of the fingers and 8 further electrodes placed on the extrinsic extensor muscles. A data-glove was used to record 18 angles from the joints of the wrist and fingers. The correct synchronisation of the data-glove and the EMG was ascertained and the resulting data were further validated by implementing a simple classification of the movements. These data can be used to test experimental hypotheses regarding EMG and hand kinematics. Our database allows for the extraction of the neural drive as well as performing electrode selection from the high-density EMG signals. Moreover, the hand kinematic signals allow the development of proportional methods of control of the hand in addition to the more traditional movement classification approaches.
Highlights
Background and SummaryFor decades, prostheses available to people with hand loss have been either purely cosmetic or allowing a very reduced set of movements, e.g., opening/closing the hand
The database contains data acquired from 25 non-disabled participants performing multiple repetitions of 13 different tasks including complex hand movements, common grasps and single finger flexions/extensions
We recorded surface EMG by means of a high density d array of 126 electrodes placed close to the elbow together with the kinematics of the hand through a data-glove. We hope that this database will be useful to researchers interested in exploring the relationships between e sEMG and hand kinematics in order to create non-invasive, proportionally controlled robotic hand prostheses t for people with transradial amputation, which account for the largest population of upper limb amputees[5,20]
Summary
Ana Matran-Fernandez 1, Itzel Jared Rodríguez Martínez[2], Riccardo Poli[1], Christian Cipriani2 & Luca Citi[1]. We present the SurfacE Electromyographic with hanD kinematicS (SEEDS) database. It contains electromyographic (EMG) signals and hand kinematics recorded from the forearm muscles of 25 nondisabled subjects while performing 13 different movements at normal and slow-paced speeds. The correct synchronisation of the dataglove and the EMG was ascertained and the resulting data were further validated by implementing a simple classification of the movements. These data can be used to test experimental hypotheses regarding EMG and hand kinematics. Our database allows for the extraction of the neural drive as well as performing electrode selection from the high-density EMG signals. The hand kinematic signals allow the development of proportional methods of control of the hand in addition to the more traditional movement classification approaches
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