[1]杨义龙,冯逸飞,朱刘凤,等.基于微波技术的脑出血检测系统[J].中国医学物理学杂志,2024,41(9):1163-1169.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.015]
　YANG Yilong,FENG Yifei,et al.Cerebral hemorrhage detection system using microwave technology[J].Chinese Journal of Medical Physics,2024,41(9):1163-1169.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.015]
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基于微波技术的脑出血检测系统()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第9期
页码:
1163-1169
栏目:
医学信号处理与医学仪器
出版日期:
2024-10-25

文章信息/Info

Title:
Cerebral hemorrhage detection system using microwave technology
文章编号:
1005-202X（2024）09-1163-07
作者:
杨义龙1; 2; 冯逸飞2; 朱刘凤1; 刘意1; 何颖2
1.上海理工大学健康科学与工程学院， 上海 200093； 2.海军特色医学中心， 上海 200433
Author(s):
YANG Yilong1;  2;  FENG Yifei2;  ZHU Liufeng1;  LIU Yi1;  HE Ying2
1. School of Health Science?nd Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. Naval Specialty Medical Center, Shanghai 200433, China
关键词:
脑出血; 微波检测; 系统优化; XGBoost 算法
Keywords:
Keywords: cerebral hemorrhage microwave detection system optimization XGBoost algorithm
分类号:
R318.6
DOI:
DOI:10.3969/j.issn.1005-202X.2024.09.015
文献标志码:
A
摘要:
目的：针对微波检测系统存在设备价格昂贵、天线选通开关系统复杂和天线通道冗余等问题，设计优化脑出血检测系统。方法：采用最简贴片天线结构，应用射频开关芯片策略，对天线选通开关系统和通道数量进行优化。通过优化后的检测系统对模拟脑出血物进行采样检测；同时，运用模式识别的方法来区分是否脑出血。结果：XGBoost算法模型在脑出血识别任务中展现出优越的效果，其在测试集上准确率达到1.000，K折交叉验证的平均准确率高达0.973，并且训练集准确率为0.996。结论：优化的脑出血检测系统具有较高的检测精度和可靠性，具备识别脑出血的潜力。
Abstract:
Abstract: Objective To design and optimize the detection system for cerebral hemorrhage for overcoming the limitations in microwave detection system, such as expensive equipment, complex antenna gating switch system and redundant antenna channels. Methods The system adopted the simplest patch antenna structure, optimized the antenna gating switch system and reduced the number of channels by radiofrequency switch chip strategy. The simulated cerebral hemorrhage was sampled and detected through the optimized detection system and pattern recognition method was used to distinguish whether there was cerebral hemorrhage. Results XGBoost algorithm model showed superior performance in the task of cerebral hemorrhage recognition, with an accuracy of 1.000 on the test set, an average accuracy of 0.973 in K-fold cross-validation, and an accuracy of 0.996 on the training set. Conclusion The optimized cerebral hemorrhage detection system which has high detection accuracy and reliability has the potential to identify cerebral hemorrhage.

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备注/Memo

备注/Memo:
【收稿日期】2024-04-05 【基金项目】军队后勤应急科研重点项目（BHJ20C008）；海军特色医学中心青年科技创新人才项目（21TPQN0803） 【作者简介】杨义龙，硕士研究生，研究方向：医疗卫生装备，E-mail:yangyilong0430@163.com；冯逸飞，硕士，助理研究员，研究方向：医疗卫生装备，E-mail: fengyifei1012@163.com （杨义龙与冯逸飞为共同第一作者） 【通信作者】何颖，博士，研究员，研究方向：特种医学，E-mail: yinghe_hys@163.com
更新日期/Last Update: 2024-09-26