Design of Portable Fuzzy Diagnosis Instrument for ECG Signal Based on Internet of Things / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 341-344, 2019.
Article
in Chinese
| WPRIM
| ID: wpr-772490
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Arrhythmias, Cardiac
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Fuzzy Logic
/
Internet
/
Diagnosis
/
Electrocardiography
/
Wavelet Analysis
/
Heart Diseases
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2019
Type:
Article
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