The invention relates to the technical field of
biomedical engineering, and provides a
tongue body motion form reconstruction and neuromuscular
lesion recognition method, which comprises the following steps: S1, acquiring a multi-
modal original
signal by using a flexible
electrode array attached to a
lingual surface, and recording a
system timestamp; s2, performing targeted filtering, artifact removal and
feature extraction processing on the multi-mode original
signal; s3, reconstructing a local dynamic curved surface of the
lingual surface by adopting a preset model, and inferring an overall position and posture sequence of the
tongue body in combination with an IMU
signal; s4, a joint optimization objective function is constructed, and a
tongue body three-dimensional dynamic form sequence is obtained through iterative solution; s5, performing motion unit
action potential MUAP
decomposition and
feature extraction on the surface electromyogram signal sEMG; and S6, constructing
lesion feature vectors based on the multi-dimensional abnormal features, and analyzing and generating a tongue
lesion risk map TDM through a
machine learning model. The defects that real
motion reconstruction, form
inference and neuromuscular lesion positioning of the tongue cannot be achieved through an existing tongue detection technology are overcome.