QRS axis based classification of electrode interchange in wearable ECG devices

Wearable ECG monitoring is becoming a convenient way for patients as well as doctors, in tracking and diagnosing heart diseases among large population in rural areas. Wearable ECG devices along with the smartphones are used to capture and transmit ECG data to hospitals where medical practitioners diagnose and make suitable interventions. ECG electrode cable misplacement poses significant challenge when untrained population is the end-user. We present a real-time lead misplacement detection system for Mason-Likar lead configuration to provide immediate feedback to patients. It reduces chances of pseudo-disease diagnosis as well as the need for technicians to confirm the validity and quality of captured ECG data. The field test results show that six different Mason-Likar electrode misplacement can be detected and differentiated from a normal one with a confidence value p=0.05.