  In this paper, we propose a wireless Communicator to manage and enhance a
Cardiac Rhythm Management System. The system includes: (1) an on-body wireless
Electrocardiogram (ECG), (2) an Intracardiac Electrogram (EGM) embedded inside
an Implantable Cardioverter/Defibrillator, and (3) a Communicator (with a
resident Learning System). The first two devices are existing technology
available in the market and are emulated using data from the Physionet
database, while the Communicator was designed and implemented by our research
team. The value of the information obtained by combining the information
supplied by (1) and (2), presented to the Communicator, improves decision
making regarding use of the actuator or other actions. Preliminary results show
a high level of confidence in the decisions made by the Communicator. For
example, excellent accuracy is achieved in predicting atrial arrhythmia in 8
patients using only external ECG when we used a neural network.
