The Data Acquisition System

The core of the system is the patented data signal acquisition and analysis algorithm based on a novel Detection of Characteristic Points method. The algorithms detect the Characteristic Points, analyze heart electrical activity, and compute the instantaneous values of sixteen cardiac parameters that actually are weighted values of differences between Characteristic Points or derivatives of these values.

 The Characteristic Points P₁, P, P₂, I, Q, R, S, J, T1, T, and T2 are defined as points of the ECG wave where it reaches a maximum/minimum or changes direction.

The location of each Characteristic point is initially identified using continuously updated templates and then its position is refined using current ECG signals. During refinement, the algorithm recognizes an abnormal wave’s signatures which are typical for some varieties of cardiovascular disease.

The Detection of the Characteristic Points technique is a powerful tool to minimize noise, baseline drift, and artifacts in ECG signals.  This is so effective that reliable ECG data and artifact free waveforms can be acquired even when the patient is in motion, as an example, on a treadmill. This type of monitoring is very difficult, if not impossible, with current technology.

Each characteristic point is continuously calculated on a beat to beat basis.

Normal beats are identified and Ventricular Ectopic Beats (VEB) beats are also clearly labeled. The beginning and the end of the P wave and the T wave are identified. Q onset and S off set and shown.