This invention relates to the fields of
artificial intelligence and
biomedical technology, specifically to a robotic automated patching method and
system for
peripheral nerve conduction detection, as follows: After the doctor selects the examination items on the
electromyography instrument, the
robot receives instructions and executes the operation; it extracts the patient's limb contour image through a binocular industrial camera
system, and calls the nerve-
electrode position mapping
database to determine the relative positions of standard
anatomical feature points; it uses
probabilistic Hough transform to filter the lines corresponding to the joints, calculates the intersection points to obtain the feature point image coordinates, combines the relative positions to calculate the target patch position, and then solves the
transformation matrix to obtain the three-dimensional coordinates of the
robotic arm end; after determining that the
electrode inventory is sufficient, it plans a path to grasp the electrodes, aligns and applies them with pressure, verifies the adhesion and
contact resistance, and makes fine adjustments if they are unqualified or the impedance drifts; after completing the patching at multiple positioning points, it records the status to form a log, ensuring
electrode stability before testing, achieving precise, stable and intelligent patching, reducing
medical care intensity and improving diagnostic efficiency.