CyberECG Tele-Medicine
Information System

The Central Information System organizes:

  • The bidirectional ECG data flow between the local registration site and the central database,
  • Archieving and retrieving the ECG curves with the relevant clinical data,
  • Knowledge mining of ECG related cardiology in the virtual library,
  • Cardiological decision support with the experts in the virtual space.

The core information system contains a hypertext-based ECG Knowledge Base with ECG recordings` database, and a 3 monthly updated collection of ECG-related cardiology literature.The automated, on-site interpretation of the conventional, standard 12-lead ECG would be confirmed by the cardiologist via the Internet.
The telemedicine consultation based on the ACC/AHA Guidelines for Electrocardiography. We use its frame of"3D-problem of ECG`s indication" where the first dimension related to the Patients Groups :(PG-1= patients with known cardiovascular disease or dysfunction, PG-2= patients who are suspected of having, or who are at increased risk of developing, cardiovascular disease or dysfunction, PG-3= P patients with no apparent or suspected heart disease or dysfunction), the second to the Categories of Use (CU-A=: baseline or initial evaluation, CU-B= response to therapy, CU-C= follow-up, CU-D= before surgery, the third to the Condition Classes (CC-I= conditions for which or patients for whom there is general agreement that electrocardiography is useful, CC-II= conditions for which or patients for whom electrocardiography is frequently used but there is a divergence of opinion with respect to its usefulness, CC-III= conditions for which or patients for whom there is general agreement that electrocardiography is of little or no usefulness).
At the first phase of Internet ECG interpretation the system call for relevant clinical signs or symptoms. The second phase of interpretation based on the Receiver Operating Characteristic (ROC) curve of every ECG morphological diagnostic entity (e.g., hypertrophy, myocardial infarction/lesion,/ischemia) developed from our ECG database of 780 recordings and served for the probability estimation.. By this way the sensitivity and the specificity would be fine-tuned for the various end-users (patient, general practitioner, physician, cardiologist etc.).