An Interventional Surgical Robot Based on Multi-Data Detection

Vascular interventional surgery is the most common method for treatment of cardiovascular diseases. Interventional surgical robot has attracted extensive attention because its precise control and remote operation. However, conventional force sensors in robots can only detect axial thrust pressure catheter. Inspired by function insect antennae, we designed a structure with thin-film sensing device catheter head. Combined sensor clamping device, multiple data were fused to predict classify current vascular environment using LSTM network 94.2% accuracy. During robotic surgery, real-time feedback information curvature enhance doctors’ judgment status improve safety.