The invention discloses a PICC (
Peripherally Inserted Central Catheter) tip precise navigation fixing method and
system based on electrocardiogram real-time positioning. High-precision positioning and safe fixing of a
catheter tip are realized through a multi-
modal data fusion and
deep learning technology. The method comprises the following steps: collecting intracavity electrocardiosignals (ECG) in real time through a
catheter built-in
electrode, and obtaining
blood vessel wall
contact pressure and temperature data in combination with an
optical fiber sensor; an improved
wavelet threshold
algorithm is adopted to dynamically suppress
motion artifacts, and P-wave features are enhanced; the preprocessed ECG signals are input into a spatial-temporal feature fused
Transformer model, a time attention layer is used for analyzing P-wave
time sequence changes, a space attention layer integrates multi-lead space distribution features, and the positioning precision is optimized in combination with preoperative
blood vessel anatomical data; the ECG positioning result and the
optical fiber sensing data are fused through Kalman filtering, three-dimensional position information of the tip end of the
catheter is generated, and real-time navigation is conducted on an
augmented reality interface; and when the
P wave amplitude reaches a CAJ threshold value, the
contact pressure is safe and no abnormal temperature exists, a
shape memory alloy (SMA) fixing ring is triggered to contract, and accurate fixing is achieved. The method solves the problems that a traditional method depends on X rays and is poor in anti-interference performance, has the advantages of being free of
radiation, high in real-time performance and adaptive to
blood vessel deformation, and is suitable for clinical P catheter implantation.