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中国医疗器械杂志 2019, Vol. 43 Issue (5) :341-344    DOI: 10.3969/j.issn.1671-7104.2019.05.008
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基于物联网的便携式心电信号模糊诊断仪器的设计
王凯1,徐济成2,张钰1
1 蚌埠医学院 卫生管理学院,蚌埠市,233030
2 安徽农业大学 计算机与信息学院,合肥市,230027
Design of Portable Fuzzy Diagnosis Instrument for ECG Signal Based on Internet of Things
WANG Kai1, XU Jicheng2, ZHANG Yu1
1 Department of Health Management, Bengbu Medical College, Bengbu, 233030
2 School of Computer and Information, Anhui Agriculture University, Hefei, 230027

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摘要 目的 动态采集与处理心电信号,获取异常心电信号的分类信息。方法 首先通过实时采集心电信号结合离散小波变换获 取心电特征向量,然后计算心电信号模糊信息熵,最后利用欧氏距离获取心电信号的语义距离,得到异常信号的分类信 息。结果 该装置能够在基于物联网的嵌入式平台上实现异常心电信号的有效识别,提高心脏疾病的诊断精度。结论 心电 信号模糊诊断设备能够精确分类异常信号,输出具有高置信度区间的在线信号分类矩阵。
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关键词ECG信号   模糊诊断   物联网   特征分类     
Abstract: Objective A method for dynamically collecting and processing ECG signals was designed to obtain classification information of abnormal ECG signals. Methods Firstly, the ECG eigenvectors were acquired by real-time acquisition of ECG signals combined with discrete wavelet transform, and then the ECG fuzzy information entropy was calculated. Finally, the Euclidean distance was used to obtain the semantic distance of ECG signals, and the classification information of abnormal signals was obtained. Results The device could effectively identify abnormal ECG signals on an embedded platform based on the Internet of Things, and improved the diagnosis accuracy of heart diseases. Conclusion The fuzzy diagnosis device of ECG signal could accurately classify the abnormal signal and output an online signal classification matrix with a high confidence interval.
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Received 2019-02-18;
Fund:

安徽省示范实验实训中心项目(2018sxzx58);安徽省教育 厅人
文社科重点项目(SK2018A1072);大规模在线开放课程示范项
目(2018mooc278)

About author: 王凯,E-mail:wangkai0552@126.com
引用本文:   
王凯1,徐济成2,张钰1.基于物联网的便携式心电信号模糊诊断仪器的设计[J]  中国医疗器械杂志, 2019,V43(5): 341-344
WANG Kai1, XU Jicheng2, ZHANG Yu1.Design of Portable Fuzzy Diagnosis Instrument for ECG Signal Based on Internet of Things[J]  Chinese Journal of Medical Instrumentation, 2019,V43(5): 341-344
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