当前位置: X-MOL 学术IEEE Access › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Automatic Positioning and Recognition of Anesthesia Points Based on Ultrasound Image Guidance Technology
IEEE Access ( IF 3.4 ) Pub Date : 2020-01-01 , DOI: 10.1109/access.2020.3003416
Huanqiu Liu , Fuzhe Ma , Ji Li , Tingting Yu , Xinbai Li

Local anesthesia has certain harm to the patient, and the wrong position of the anesthesia point may result in poor anesthesia effect. Based on this, this study built an automatic positioning recognition model based on ultrasound image guidance technology. At the same time, this paper combined the actual requirements of anesthesia to establish a wireless positioning system based on ultrasonic infrared, and the system combined ultrasonic propagation characteristics and sensing receiving characteristics. In addition, in the study, this article combined with the state of the anesthesia point to take ultrasound-guided anesthesia. Finally, this paper designed a comparative experiment to study the performance of automatic positioning of anesthesia points based on ultrasound image guidance technology and collected actual data to analyze. Studies have shown that the method proposed in this study has certain clinical effects and can provide theoretical references for subsequent related research.

中文翻译:

基于超声图像制导技术的麻醉点自动定位识别

局部麻醉对患者有一定的危害,麻醉点位置错误可能会导致麻醉效果不佳。基于此,本研究构建了基于超声图像引导技术的自动定位识别模型。同时,本文结合麻醉的实际需求,建立了基于超声红外的无线定位系统,该系统结合了超声传播特性和传感接收特性。另外,在研究中,本文结合麻醉点的状态,采取超声引导下麻醉。最后,本文设计了对比实验,研究基于超声图像引导技术的麻醉点自动定位性能,并收集实际数据进行分析。
更新日期:2020-01-01
down
wechat
bug