The invention relates to the technical field of
medical training systems, in particular to a
spinal cord injury
respiratory function training method and
system based on ultrasonic intention recognition. A
machine learning model is used for recognizing the
breathing intention of trying to inhale and trying to forcibly exhale and cough of a patient,
relevant information is converted into audio and video
biological feedback signals, layered training such as basic activation endurance coordination and functional tasks is provided for the patient,
muscle group signals in the training process are collected in real time for evaluation, and parameters are dynamically and finely adjusted; the
system comprises a physiological
signal acquisition module, an intention recognition
processing module, a
biological feedback output module, an interaction module, an equipment control execution module and a closed-loop training regulation module, and realizes intention-driven physiological
respiration assistance. According to the invention, deep
respiratory muscle accurate monitoring personalized training and man-
machine cooperative assistance can be realized, the
rehabilitation effect is improved, and the patient is assisted to recover the autonomous
respiration ability.