What is it about?
Multiple cardiovascular disease classification from Electrocardiogram (ECG) signal is necessary for efficient and fast remedial treatment of the patient. This paper presents a method to classify multiple heart diseases using one dimensional deep convolutional neural network (CNN)
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Why is it important?
The proposed method helps to identify and classify a wide range of cardiovascular diseases from a single ECG signal with the help of a one-dimensional neural network.
Perspectives
I hope this article helps people look into cardiovascular research from a different perspective. Although this is a small contribution to a massive problem, it might help data scientists and doctors visualize cardiovascular patients from a new paradigm.
Nahian Ibn Hasan
Purdue University
Read the Original
This page is a summary of: Deep Learning Approach to Cardiovascular Disease Classification Employing Modified ECG Signal from Empirical Mode Decomposition, Biomedical Signal Processing and Control, July 2019, Elsevier,
DOI: 10.1016/j.bspc.2019.04.005.
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