Unique algorithms developed by our specialists over the past 30 years in close collaboration with leading Russian research and clinical institutions ensure accurate data processing and analysis and reliable results.
Building on this foundation, Astrocard® Holtersystem software continues to evolve and gain new features, including our patented methods.
Combining rapid analysis with high accuracy provides results that are convenient for physicians and support patient diagnosis and treatment. Cloud technologies and mobile-device support make the system more convenient and efficient to use.
The dedicated ST-analysis program allows manual editing of automatic ST-segment level measurements taken at a set distance from the J point (0–80 ms) and of deviations from a calculated “floating” baseline.
To verify automatic measurements, the software provides trends for ST-segment level and heart rate, raw ECG, and ECG averaged over 15, 30 or 60 seconds.
The Holter system can analyze RR-interval variability in any selected 5-minute period, throughout an entire 24-hour recording, by hour and in day/night mode. The analysis produces intervalograms, scattergrams and RR histograms. Artifacts and arrhythmias (extrasystoles and pauses) are automatically excluded when heart rate variability indices are calculated.
BP is measured using the oscillometric method. Data analysis calculates all standard ambulatory BP monitoring statistics (variability, hypertension and hypotension indices, pressure load, etc.) for the full 24-hour period and separately for daytime and nighttime periods. A “special time interval” can also be selected.
Until recently, a major limitation of Holter monitoring was the inability to perform a complete electrocardiographic analysis of the data because 2–3 leads provided insufficient information.
Performed in the frequency domain, with determination of spectral power in the total frequency spectrum (Total power) and the ULF, VLF, LF and HF bands. Heart rate turbulence analysis is also available.
The system can analyze malfunctions in the main types of pacemakers currently in use. The analysis is based on a dedicated recorder's ability to automatically detect pacing artifacts and assess pacing parameters in atrial and ventricular leads independently of background cardiac electrical signals and associated noise.