Intellewave HRV system is a fully automated cardiac monitoring device that provides quantitative assessment of Heart Rate Variability analysis. IntelleWave testing allows physicians to monitor physiological activity and assess the state of a patient's autonomic function through analysis of Spectral Function Components of R-R intervals Variability. HRV testing with IntelleWave system enables physicians to detect specific types of autonomic dysfunction that may be linked to a multitude of clinical diagnoses. Additionally, IntelleWave is a tool for overall, general assessment of a patient's physiology, and as such, provides a comprehensive, in-depth patient evaluation, often missing in standard medical practice. Such an ability to assess one's physiology determines the wide range of IntelleWave's clinical applications and distinguishes it favorably from all other diagnostic devices based on HRV analysis. In the medical field IntelleWave system can be used by health-care providers to objectively confirm or exclude cases of Cardiovascular Autonomic Neuropathy (CAN), Diabetic Autonomic Neuropathy (DAN) and other diseases or malfunctions of the Autonomic Nervous System (ANS). For instance, with the information provided by IntelleWave clinicians are able to recognize cases of beta-blocker overdose or risk of sudden cardiac arrest. Moreover, IntelleWave can monitor ANS activity by providing up to 24 hours of “realtime” quantitative assessment of spectral function components of HRV (HF and LF). Note: all clinical correlations of HRV analysis data are performed solely by physician. IntelleWave system's proprietary algorithm (US Patent 2012018916) uses novel artificial intelligence techniques to differentiate between high frequency (HF) and low- frequency (LF) components of spectral function. This unique representation of test results allows physicians to recognize up to 81 different variations of the relationship between LF and HF components.
Intellewave also can provide "real-time" up to 24hr quantitative HRV assessment. The list of potential application by this regime is next:
- Monitor HRV components during anesthesia.
- Monitor HRV components in intensive care to see effectiveness of
- Monitor HRV components by implantable devices.
- Using for sleep studies to see the difference between "sleep
time" and "awake time".
There is well known that decreasing of Parasympathetic activity directly correspond with the damage of Parasympathetic receptors after any pathology. As result the goal of Autonomic Function testing is to recognize the stage of pathological developments by assessments of level of Parasympathetic activity.
Assessment of Sympathetic Nervous system activity clinically makes sense to see the stress level and acute of some problems for instance; acute of infarct of the myocardium, acute of intoxication and others. Decrease of Sympathetic activity in most of the cases related with degenerative joint diseases for elderly people and beta-blockers overdozage. But clinical issues of different Sympathetic activities level can exist only in case of pathological decreasing of Parasympathetic function. In case of positive Parasympathetic activity different Sympathetic level make sense only as a normal physiology issues.
Another aspect of Autonomic Function testing based on Heart Rate Variability analysis is Risk Stratification of Sudden Cardiac Arrest. It's the most efective if combained with appropriate clinical and/or ECG evidence like T-wave alternance, but some times even without it.
Quantitative Assessment of ANS based on heart rate variability analysis has been the subject of intensive research for the past four decades. Currently multiple facets of its theoretical and practical value encourage numerous cutting-edge investigational studies in both basic and clinical research. However, for many years this method has remained the privilege of research laboratories and was not accessible to medical practitioners, and only recently was recognized for its effectiveness in clinical use by the FDA, AAMI, ANSI, a number of health organizations and insurance companies.
Intellewave technology is unique in its ability to automatically differentiate between Sympathetic and Parasympathetic influences on R-R intervals variability regulation mechanisms by using proprietary patented method based on Artificial Intelligence theory. Such of method did not require any other sorce of information than R-R intervals variability.
Hence, we included here an overview of theoretical and practical aspects of ANS assessment based on HRV, provided by courtesy of Alexander Riftine,PhD, a distinguished investigator recognized worldwide for his contribution in heart rate variability research.
This theoretical overview covers results of Dr. Riftine’s multiple investigational projects, uses statistical data accumulated over the period of 25 years, and incorporates findings of other published research studies in Heart Rate Variability analysis and ANS assessment. To illustrate typical cases of ANS reaction to controlled exercises, the author selected results from patients tested with Intellewave system, as this system is currently on the U.S. medical market.