Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21441-7_5
Reference53 articles.
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2. Aldosari, H., Coenen, F., Lip, G.Y., Zheng, Y.: Addressing the challenge of data heterogeneity using a homogeneous feature vector representation: a study using time series and cardiovascular disease classification. In: International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 254–266. Springer (2021). https://doi.org/10.1007/978-3-030-91100-3_21
3. Lecture Notes in Computer Science;H Aldosari,2021
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5. Annam, J.R., Kalyanapu, S., Ch, S., Somala, J., Raju, S.B.: Classification of ECG heartbeat arrhythmia: a review. Procedia Comput. Sci. 171, 679–688 (2020)
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