FIELD: medicine.
SUBSTANCE: method of intelligent bionic limb control contains the stages of: receiving at least one EMG signal of the patient via myoelectric reader; processing at least one EMG signal of the patient via a non-overlapping segmentation of EMG signal; for each segment, obtained in the previous step, forming the set of features of EMG signal based on the amplitude of the EMG signal for classify gestures; transmitting the set of features of EMG signal of each segment on the data channel to the intelligent bionic limb control system; determining a gesture type based on sets of features of EMG signal through the use of an artificial neural network; forming a control signal based on the determined type of gesture; and transmitting the generated control signal to the motors driving the fingers of bionic limbs; receiving feedback from the intelligent bionic limb control system by retrieving information from external sensors.
EFFECT: invention allows to increase the accuracy of positioning and making decisions about capturing an object.
13 cl, 13 dwg
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Authors
Dates
2017-11-14—Published
2016-12-14—Filed