Electroscan is a package that includes two procedures of Integrative Biophysics and Quantum Medicine: the Study of the ElectroInterstitial Complex System (EIS Complex) and the Introespect Logic-Quantum Information Analyzer.

Electro-Interstitial-Study (EIS Complex) integrates a group of technologies to evaluate integrated physiological and biophysical parameters such as body composition, heart rate variability, activity of the autonomic nervous system, cardiac output, among other individual variables that are related to physiological states and various pathological conditions, as well as with the individual clinical evolution of the patients. This software uses the data managed by three types of non-invasive sensor devices:

ES-BC (Electro Sensor-Body Composition) and EIS-GS (Electro Interstitial Scan-Galvanic Skin). The electrical signals from the surface are captured by three pairs of electrodes, in such a way that the galvanic response of the skin in the head region, between the hands and between the feet is sensed;
2-the ES-Oxi (Electro Sensor Oxi), which senses pulse oximetry, placed on the upper limb.
Sphygmomanometry that noninvasively measures blood pressure.
As a result of these measurements, a group of biomarkers is obtained that can infer body composition, physiological or pathological status (levels of acute or chronic inflammation, metabolic status, tissue perfusion, etc.) and compromised vertebral and visceral segments that are a priority to treat. .

Among the quantitative variables of diagnostic-therapeutic importance that the EIS Complex provides we find:

-Body Mass Index


-Galvanic Skin Response: Left Hand- Right Hand and Left Foot -Right Foot

-Screening Diabetes: Insulin Resistance / Impaired Glucose tolerance / Beta cell Function

-Sympathetic / Parasympathetic Activity: HF Sympathetic / HF Parasympathetic

-Body System Modeling: The qualitative systemic evaluation with complex EIS is obtained by spatial modeling of the different body segments of the spine and of the organs of the thorax and abdomen where the compromised organs, metabolic level, perfusion and cellular activity status are shown . With this information, the second phase is passed, where a more precise etiological diagnosis can be reached, using the Intrsopect


This equipment was developed by the Russian space program, is based on principles of logical quantum entropy, and is defined as a Nonlinear Diagnostic System. It aims to measure electron spin and molecular movement of certain tissues. The purpose is to help determine microorganisms, viruses, bacteria, parasites, and their related pathologies.

With a 4.9 GHz sensor inside the headphones it captures the brain stem, and from there it tunes to the different tissues of the body. Like tuning in to a radio station, the team collects the frequency and voltage of a given organ, captures a molecular movement, then analyzes it and compares it to a database of 300,000 patients with pathologies and pathogens related to the evaluated organ. The team’s design is to take information from the patient and compare it with their database, to search for a match.

The team is not strictly a medical team, nor a diagnostic team. But it helps guide the patient in the direction for accurate confirmation. However, the team presents a success between 86% and 93% in its evaluation, depending on the score obtained, the closer to zero, the reference value in its database, the more certainty we have to find the pathogen or pathology. It is considered positive with high probability from a lower value of 0.425. But any score below 1 also indicates probability.

You will see 6 colors appear on the screen, chromogenic density on the Flanders scale:

Yellow 1 Optimal molecular spin

Dark yellow 2 Sub-optimal molecular spin

Orange 3 Intermediate molecular spin

Red 4 Intermediate low molecular spin

Purple Fuchsia 5 Low molecular spin

Black 6 Very Low molecular spin.



It is based on the theory of quantum-logic and the Entropy of Complex Biophysical Systems, part of the information theory developed by T. Van Hoven in the eighties. Later developed by aerospace investigations of the Russians in the diagnosis by resonance.

This non-linear signal analysis system allows analyzing the individual biological structure by comparing its response with the “standards” of normal or pathological states of that same structure (which are stored in the memory and database of the equipment). The equipment has software that automatically runs a statistical analysis of the signals received from