LEAVE-ONE-OUT ELECTROMYOGRAPHY (EMG) DATA SET OF 4 GESTURES PERFORMED WITH THE RIGHT HAND

A new design and implementation of a control system for an anthropomorphic robotic hand has been developed for the Bioinformatics and Autonomous Learning Laboratory (BALL) at ESPOL. Myoelectric signals were acquired using a bioelectric data acquisition board (CYTON BOARD) with six out of the available eight channels. These signals had an amplitude of 200 [uV] and were sampled at a frequency of 250 [Hz].

The data presented here extends the experiment conducted in the (ELECTROMYOGRAPHY (EMG) DATA SET OF 4 GESTURES PERFORMED WITH THE RIGHT HAND, ###), which was utilized for training, validation, and testing of the Multi-channel Biosignal Transformer (MuCBiT). For this purpose, five healthy subjects were recruited, including four females, with an average age of 28 years. All subjects were right-handed (with an Edinburgh Handedness Inventory (EHI) dexterity test score of 77.56), as measured by the Edinburgh Handedness Inventory (EHI) dexterity test (Oldfield RC, 1971).