Sudden Cardiac Arrest (SCA) is an unpredictable heart failure. According to the American Heart Association (AHA), 8 out of 10,000 adults will experience out-of-hospital cardiac arrests (OHCA) in the U.S. The problem is that treatment must be received immediately because 6-10 minutes later the person is likely to end up dead.
The suggested solution is using a wearable ECG recording device. The device will analyze the signal in order to detect a SCA and will notify the surrounding when SDA occurs.
Our project deals with analyzing the ECG. The algorithm proposed here detected a simulated cardiac arrest within 3.078 sec in average. The percentage of correctly detected heartbeats is 97.87% out of all the existing beats. The percentage of false beats out of all the identified beats is 2.73%.
The algorithm was implemented as an android application and it shows potential in being the analyzer in the integrated suggested system.