Model ECG Algorithms -Automated Analysis of Diagnostic Ecg Data

Functions

• Measurement and interpretation of relevant ECG parameters depending on the field of application 
• Reliable detection of anomalies
• Individually configurable output of measured value tables, conspicuous values and diagnostic information

Advantages

• Problem-free system or software upgrade – thanks to support for all common operating systems and platforms
• Convenient use – thanks to the text output of the analyzes in many languages
• Reliable support with integration and approval – thanks to extensive experience in CE and FDA markets

With more and more mobile ECG devices and distributed locations, the need to centrally manage software functions and make them available online is increasing. In the COR.Cloud, the ECG analysis is available online on demand – from anywhere, anytime, with algorithms that are always up-to-date.

The HES ® Resting ECG analysis algorithm interprets 12-lead ECGs.

It offers the following functions:

• Precise beat localization and typing
• Averaging of dominant (normal) beats and up to three types of ventricular extrasystole
• Accurate wave point detection
• Detection and removal of noise
• Measurement tables for P, QRS, ST, QT, QTc etc. for the entire ECG and per channel
• Detailed rhythm analysis, e.g. VES, SVES, pause, bigeminy, trigeminy, ventricular tachycardia, bradycardia, fibrillation / flutter and more
• Detailed interpretation, e.g.:
  • P-wave interpretation (e.g. atrial overload, prolonged atrial conduction)
  • Repolarization abnormalities and T-wave changes (e.g. ischemia)
  • Intraventricular conduction disorders (e.g. bundle branch block and pre-excitation syndrome, left anterior hemiblock)
  • QRS-T interpretation (e.g. normal, infarct with location and age, right, left, and biventricular hypertrophy)
  • HES ® can be combined with SCP-compression / decompression algorithms to increase the efficiency of data transmission.