With the NLS evaluation method, we now have the ability to provide more accurate results in the evaluation of musculoskeletal diseases, lymphatic dysfunctions and chronic pain factors.

The NLS method is based on the same principle as MRI.

The atoms of atoms have the ability to absorb and emit electromagnetic frequencies as they are placed within a magnetic field. In the case of the MRI, the energy from the magnet excites hydrogen atoms in the biological tissues, which emit a radio frequency signal. Their position and situation  They are measured by a receiving coil, then the values ​​are translated and displayed in color gradation.

In the NLS method, the excitation frequency of the stimulator is extremely low compared to MRI. The signals generated by the excited hydrogen atoms of the tissues are evaluated by appropriate software and a statistical analysis of the values ​​is performed in order to evaluate the degree of deviation from the entropy model (entropy analysis). It should be noted that the NLS method is neither diagnostic nor imaging.

biosynthesis Corfu bioelite NLS Bicom Regumed

 

 

The application of this method is done with the electrotherapy device NLS BIOELITE expert. 

 

 

 

 

 

 

 

 

biosynthesis Corfu bioelite NLS Bicom Regumed

 

The construction of technical matter structures is based on the principle of Linear Sequens Model, where a numerical sequence is derived from a function. In this way, products of repetitive motifs with constant growth parameters are derived.

 

 

 

 

 

 

 

biosynthesis Corfu bioelite NLS Bicom Regumed

In nature we observe the development of repetitive patterns with variable development parameters. Specifically with the NLS method the possibility of alteration of these parameters is estimated.

The assessment is made by comparing the electromagnetic signal sent by the exciter source (bioelite) with the return signal we receive from the excited tissue.

 

 

 

 

biosynthesis Corfu bioelite NLS Bicom Regumed

 

 

 

 

With the analysis we can calculate the alteration of the NLS parameters and classify the entropic index as low entropy or high entropy. Low entropy has a small deviation rating from the entropic model and high entropy a large deviation rating.