Electrocardiograms (ECGs) are widely accepted as a reliable method for verifying the presence of life in many security applications, particularly in new and developing technologies, when compared to other biometric methods. Our work exploits this crucial characteristic to enhance existing machine and deep learning ECG authentication solutions by using edge computing servers that provide connectivity to Internet of Things (IoT) devices while retaining access to computational and storage resources