CNN-based diagnosis model of children's bladder compliance using a single intravesical pressure signal

In this study, We constructed a dataset based on UDS and designed a 1D-CNN model to optimize and train the network. Then applied the trained model to a dataset obtained solely through a proposed perfusion experiment. Our model outperformed other algorithms. The results demonstrate the potential of our model to alert abnormal bladder compliance accurately and efficiently.PMID:38193146 | DOI:10.1080/10255842.2023.2301414

Source: Computer Methods in Biomechanics and Biomedical Engineering - January 9, 2024 Category: Biomedical Engineering Authors: Gang Yuan Zicong Ge Jian Zheng Xiangming Yan Mingcui Fu Ming Li Xiaodong Yang Liangfeng Tang Source Type: research