Detecting Ischemia via the RCE wearable

RCE’s AI team trained a convolutional neural net on retrospective ECG data sets with ischemic vs non-ischemic classification. We then applied the held out model to prospective datasets from patients in cardiac observation unit. The accuracy of the model coupled with reliable data acquisition through a seamless ECG wearable is highly encouraging. 

These initial efforts in artificial intelligence give us line of sight in the value of ischemia detection leveraging transfer learning. Check out our work here: