Pelvic floor muscle AI intelligent evaluation system and method based on multi-modal feature data fusion

• Main Authors: WANG LEI, SHI ZHIHUAI
• Format: Patent
• Language: Chinese; English
• Published: 22.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses a pelvic floor muscle AI intelligent evaluation system and method based on multi-modal feature data fusion, data of multiple modals such as an ultrasonic two-dimensional image, a three-dimensional image, ultrasonic measurement data, electromyographic signal data and the like are fused, association between data of different dimensions and pelvic floor muscles is found, a more accurate model is constructed to evaluate the pelvic floor muscle state of a patient, and the pelvic floor muscle AI intelligent evaluation system and method based on multi-modal feature data fusion are provided. And the pelvic floor muscle state is intelligently evaluated. 本发明公开一种多模态特征数据融合的盆底肌肉AI智能评估系统及方法，将超声二维图像、三维图像，超声测量数据、肌电信号数据等多个模态的数据融合，寻找到不同维度数据与盆底肌肉的关联，构建更为精准的模型评估患者盆底肌肉状态，对盆底肌肉状态进行智能评估。