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Design of Portable Fuzzy Diagnosis Instrument for ECG Signal Based on Internet of Things / 中国医疗器械杂志
Zhongguo Yi Liao Qi Xie Za Zhi ; (6): 341-344, 2019.
Article de Zh | WPRIM | ID: wpr-772490
Bibliothèque responsable: WPRO
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.@*CONCLUSIONS@#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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Texte intégral: 1 Indice: WPRIM Sujet Principal: Troubles du rythme cardiaque / Algorithmes / Traitement du signal assisté par ordinateur / Logique floue / Internet / Diagnostic / Électrocardiographie / Analyse en ondelettes / Cardiopathies Type d'étude: Diagnostic_studies Limites du sujet: Humans langue: Zh Texte intégral: Zhongguo Yi Liao Qi Xie Za Zhi Année: 2019 Type: Article
Texte intégral: 1 Indice: WPRIM Sujet Principal: Troubles du rythme cardiaque / Algorithmes / Traitement du signal assisté par ordinateur / Logique floue / Internet / Diagnostic / Électrocardiographie / Analyse en ondelettes / Cardiopathies Type d'étude: Diagnostic_studies Limites du sujet: Humans langue: Zh Texte intégral: Zhongguo Yi Liao Qi Xie Za Zhi Année: 2019 Type: Article