Why the study?
Because electrocardiogram signals reflect cardiac health, accurate classification is conducive to diagnosing heart disease within the advancing Medical Internet of Things.
Does a classification method based on continuous wavelet transform and GoogLeNet improve the recognition accuracy of ECG signals compared to other methods?
Population
ECG signals from multiple public datasets
Comparison
Novel CWT and GoogLeNet CNN classification method vs other methods
Design
Algorithm development and validation study
Authors
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May aid ECG classification in connected devices; leaves open prospective clinical validation before practice adoption.
Does a classification method based on continuous wavelet transform and GoogLeNet improve the recognition accuracy of ECG signals compared to other methods?
A novel deep learning approach using continuous wavelet transform and GoogLeNet improves the accuracy of automated ECG signal classification.
Dou et al. (2022) studied this question.
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