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[R] Diagnosing ECGs and MCGs with CNNs (99.8% ECG accuracy, 88% 3D MCG accuracy)

[R] Diagnosing ECGs and MCGs with CNNs (99.8% ECG accuracy, 88% 3D MCG accuracy)

A couple of years ago (in April 2017) I completed my master’s degree, focusing on the detection of heart disease in electro- and magneto- cardiogram scans. As far as I can tell, the results were state of the art at the time. However, I never posted it on here, and after seeing another paper exploring CNNs for ECGs I thought it might be nice to get some discussion on it.

Figure 1: An example of a 3D MCG scan

In summary I used a CNN to diagnose myocardial infarction in patients, given their ECG scans. I also applied similar techniques to MCGs generated via a novel non-invasive MCG device. This device created datapoints similar to that in figure 1. These datapoints could also be reconfigured into a 2D or 1D format. I used a attention tracking technique to find the most diagnostic parts of both the ECG and MCG scans in the case of infarction.

The thesis is available here, and the github repo is here.

submitted by /u/Smith4242
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.