Prosthetic arm with hybrid brain-computer interface

A prosthetic arm system comprising a prosthetic arm apparatus comprising:

• a plurality of interconnected sections arranged adjacent to each other, the sections including a hand section connected to a wrist connector, the wrist connector connected to a wrist section, the wrist section connected to a forearm section;
• wherein the hand section includes:
• a palm section connected to the wrist connector;
• a plurality of fingers connected to the palm section;
• a thumb connected to the palm section;
• and
• a plurality of actuators, each finger and the thumb having at least one actuator associated therewith;
• wherein the plurality of fingers are produced as a single continuous printed component comprising a rigid load-bearing material, each finger having a joint flex connector which acts as a flexible hinge material and provides a mechanical connection that allows bending at a finger joint while maintaining structural integrity, each finger further having a restorative band which provides elastic restoring force to the finger, where after the associated actuator bends the finger, the restorative band pulls it back to the initial straight position once actuation is released;
• wherein the thumb is produced as a single continuous printed component comprising a rigid load-bearing material, the thumb having a joint flex connector which acts as a flexible hinge material and provides a mechanical connection that allows bending at a thumb joint while maintaining structural integrity, the thumb further having a restorative band which provides elastic restoring force to the thumb, where after the associated actuator bends the thumb, the restorative band pulls it back to the initial straight position once actuation is released;
• wherein the forearm section includes a microcomputer and a battery, wherein the plurality of actuators are in wired or wireless communication with the microcomputer and the battery.

A system for controlling a prosthetic arm including a plurality of actuators, the system comprising:

• at least one non-transitory computer readable storage medium having computer program instructions stored thereon;
• and
• at least one processor configured to execute the computer program instructions causing the processor to perform the following operations:
• receive electroencephalography (EEG) signals from a user of a neurodetection device;
• segment the received EEG signals by a collection duration to produce segmented EEG signals;
• preprocess the segmented EEG signals by bandpass filtering, notch filtering, and transformer denoising to produce preprocessed EEG signals;
• decode, using a machine-learning system, the preprocessed EEG signals to detect imagined spatial motion of the user, where the imagined spatial motion corresponds to desired motion commands of the prosthetic arm;
• execute, using one or more of the plurality of actuators, detected imagined spatial motion of the user;
• wherein the machine-learning system is a hybrid system including a first neural network and a second neural network, wherein the received EEG signals are input to the first neural network, wherein output of the first neural network is input to the second neural network, and wherein output of the second neural network is classification and identification of imagined spatial motion.