基于复阻抗咽造影的吞咽事件检测与智能识别方法

杨宇祥; 余绍帅; 林海军; 李建闽; 张甫

doi:10.11999/JEIT210897

基于复阻抗咽造影的吞咽事件检测与智能识别方法

doi: 10.11999/JEIT210897

湖南师范大学工程与设计学院长沙 410081

基金项目: 国家自然科学基金(32201134, 32171366, 31671002)，湖南省自然科学基金(2021JJ30014, 2021JJ40359)

详细信息

作者简介:
杨宇祥：男，博士，教授，研究方向为生物医学信号检测与处理

余绍帅：男，硕士生，研究方向为生物电阻抗测量与应用

林海军：男，博士，教授，研究方向为智能检测与智能仪器

李建闽：男，博士，讲师，研究方向为智能信息处理

张甫：男，博士，讲师，研究方向为生物医学电子学

通讯作者:
张甫　fuzhang@hunnu.edu.cn

中图分类号: TM93; R766
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出版历程
- 收稿日期: 2021-08-30
- 修回日期: 2022-02-17
- 录用日期: 2022-07-26
- 网络出版日期: 2022-07-29
- 刊出日期: 2022-11-14

Detection and Intelligent Recognition Method of Swallowing Events Based on Complex Impedance Pharyngography

College of Engineering and Design, Hunan Normal University, Changsha 410081, China

Funds: The National Natural Science Foundation of China (32201134, 32171366, 31671002), The Natural Science Foundation of Hunan Province (2021JJ30014, 2021JJ40359)

摘要

摘要: 吞咽障碍早期筛查是降低吞咽障碍发病率的重要手段，而对吞咽事件(SE)的准确识别是吞咽障碍筛查和治疗过程中的关键环节。阻抗咽造影(IPG)是一种新型非侵入式吞咽事件检测方法，但现有的IPG技术仅检测阻抗幅值而忽略了同样重要的相位信息。为了实现对吞咽事件的全面检测及智能识别，该文提出一种基于整周期数字锁相放大原理的复阻抗咽造影(CIPG)检测方法，设计了基于FPGA的CIPG检测系统以连续描记吞咽过程的复阻抗(阻抗幅值和相位)信息，并设计了基于连续小波变换(CWT)和GoogLeNet相结合的吞咽事件智能识别算法。设计了包含喝水、干咽、吃面包、吃酸奶、咳嗽等5种吞咽事件的识别实验，实验结果表明，仅利用阻抗幅值信息时的吞咽事件识别准确率为86.1%，而同时利用阻抗幅值和相位信息时的识别准确率为95.7%，后者的识别准确率高于其它算法。该研究证实了CIPG技术和吞咽事件智能识别算法的有效性与优越性，为下一步开发基于CIPG的吞咽障碍早期筛查方法奠定了理论和技术基础。
- 吞咽障碍筛查 /
- 复阻抗咽造影 /
- 整周期数字锁相放大 /
- 连续小波变换 /
- GoogLeNet
Abstract: Early screening of dysphagia is an important means to reduce the incidence of dysphagia, and accurate identification of Swallowing Events (SE) is a key step in the screening and treatment of dysphagia. Impedance PharyngoGraphy (IPG) is a new non-invasive SE detection method, but the existing IPG technique only detects the impedance amplitude and ignores the equally important phase information. Aiming to comprehensively extracting and intelligently recognizing SE, a Complex Impedance PharyngoGraphy (CIPG) detection method based on integer-period digital lock-in amplifying principle is proposed, and a CIPG measurement system is designed based on FPGA to continuously record the complex impedance (amplitude and phase) information during swallowing process, and an SE intelligent recognition algorithm based on Continuous Wavelet Transform (CWT) and GoogLeNet is designed. A five-SE recognition experiment including drinking water, dry swallowing, eating bread, eating yogurt and coughing is designed. The experimental results show that the SE recognition accuracy is 86.1% when only using impedance amplitude information, and 95.7% when using both impedance amplitude and phase information. The latter SE recognition accuracy is higher than that of other algorithms. This study confirms the effectiveness and superiority of CIPG technology and SE intelligent recognition algorithm, and lays a theoretical and technical foundation for further developing an early screening method of dysphagia based on CIPG.
- Screening of dysphagia /
- Complex Impedance PharyngoGraphy (CIPG) /
- Integer-period digital lock-in amplifying /
- Continuous Wavelet Transform (CWT) /
- GoogLeNet

HTML全文

图 1 整周期数字锁相放大原理图

下载: 全尺寸图片幻灯片

图 2 复阻抗咽造影(CIPG)系统硬件原理结构图

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图 3 基于CWT与GoogLeNet的吞咽智能识别算法结构图

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图 4 某受试者的CIPG连续监测信号

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图 5 喝水和干咽事件所对应的CIPG阻抗幅值和相位变化时序图及其对应的2维RGB图像对比

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图 6 用于吞咽事件识别的混淆矩阵对比

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表 1 吞咽事件识别对比实验结果(%)

评价标准	基于幅值信息的识别			基于幅值+相位信息的识别
评价标准	精确率P	召回率R	F1	精确率P	召回率R	F1
干咽	82.0	87.4	84.6	93.7	96.6	95.1
喝水	90.0	92.3	91.1	94.7	92.3	93.4
吃面包	85.0	97.1	90.6	97.1	97.1	97.1
吃酸奶	87.0	62.5	72.7	96.9	96.9	96.9
咳嗽	91.3	95.5	93.3	100.0	95.5	97.6

下载: 导出CSV

表 2 不同的吞咽事件识别方法性能对比

算法	所用传感器	算法	精确率或F1(%)
Alshurafa等人^[29]	压电传感器	小波变换、贝叶斯网络	86.1
Bi等人^[18]	麦克风传感器	隐马尔可夫模型、决策树模型	84.9
Sazonov等人^[30]	麦克风传感器	小波变换、支持向量机	84.7
Inoue等人^[19]	鼻插管式流量传感器和压电传感器	线性预测编码、支持向量机	82.4
传统IPG方法^[15]	生物电阻抗传感	小波变换、ANN	90.1
本文方法	生物电阻抗传感	小波变换、GoogLeNet网络	95.7

下载: 导出CSV

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