text: abstract—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.
  keywords—wireless, learning systems, bluetooth, zigbee,
  ecg, egm