[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)](https://b.thumbs.redditmedia.com/_jD6VelzrtTBzsRIcWVwJlrVwnsdPes8IabUtN0WUEM.jpg "[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. submitted by /u/Smith4242 |