人工智能
应变计
计算机科学
大便失禁
相似性(几何)
校准
肛门括约肌
支持向量机
计算机视觉
生物医学工程
模式识别(心理学)
医学
数学
外科
工程类
统计
结构工程
图像(数学)
作者
Han Ding,Guozheng Yan,Fangfang Hua,Lichao Wang,Zhiwu Wang,Pingping Jiang,Shuai Kuang
摘要
Abstract Background Artificial organs are playing an increasingly important role in medical field. Artificial anal sphincter, as an example, is a widely used medical device for fecal incontinence. Though it could help patients maintain continence, the issue of perception reconstruction is still unsolved, which means that patients cannot control defecation as desired. Methods In this paper, a novel sensor system based on vector similarity has been analyzed and evaluated. The sensor system is a self‐packaged strain gauge sensor with a small size 14.5 mm × 6 mm, especially for medical device implanted in body to reconstruct perception function. In order to overcome the disadvantages of single threshold judgment, a more accurate and reliable judgment standard for content pressure detection in rectum is developed by using vector similarity method. Therefore, in the novel sensor system, standard multi‐parameters are comprehensive considered. Furthermore, weight‐optimization of sensors are investigated since each sensor has played a different role in detection. Finally, sensor calibration, in vitro and in vivo experiments are established. Results In sensor calibration, the result R 2 > 0.99 presents the strain gauge pressure sensor has a good linearity. After that, a series of in vitro experiments have been conducted. The optimized sensor system shows a high accuracy rate in perception reconstruction, which is 87.5% on early warning and 95% on the alarm. In the following in vivo experiments. The results indicate that the average accuracy of the proposed perception reconstruction module has increased by 17.7%, compared with that without optimized sensor system. Conclusions All of these have proven that the novel perception reconstruction module with sensor system based on vector similarity is more acceptable and reliable.
科研通智能强力驱动
Strongly Powered by AbleSci AI