The goal of this device is to measure several physiological parameters from the different main regulatory mechanism of the body and the state of the internal environment (living tissues) to provide an estimation of the Homeostasis of the patient.

The Homeostasis score will reflect the potential of adaptation of the patient to any diseases, treatments or life style changes. In the monitoring, his score could be used to understand the effectiveness of the treatment and possible side effects.

ES Complex system Features

The ES  Complex system is a combination of 2 biosensor technologies with 5 features and signal processing analysis managed by software.

Bio impedance biosensor features:

1. The Bio Impedance in Bipolar Mode sensor (EIS sensor) feature evaluates the segmental conductivity of the human body with low frequencies via 6 tactile electrodes. The signal processing analysis of the measurement provides estimated parameters related to tissue oxygen consumption , interstitial fluid Chloride ions density and interstitial fluid morphology .
2. The Bio Impedance in Tetra polar Mode (BIA sensor) feature evaluates the resistance and the reactance of the human body using a mono frequency (50KHz) via 4 tactile electrodes, to estimate body composition parameters (TWB, Fat Free mass, fat mass) according to predictive equations as commonly seen in peer reviews.

Spectrophotometry biosensor features:

3.The Pulse Oximeter (SpO2 sensor) displays SpO2%, pulse rate value and vertical bar graph pulse amplitude.

4. The Photoelectrical Plethysmograph or Digital Pulse Analysis (DPA sensor)’ feature is the signal processing analysis of the pulse waveform provided by the oximeter. The mathematical analysIs provides indicators to estimate the cardiovascular function and hemodynamics indicators with the blood pressure measurement.

5. The Heart Rate Variability (HRV sensor) feature, both in the time domain (statistical methods) and in the frequency domain (spectral analysis). Each QRS complex is detected and the so-called normal-to-normal (NN) or Rate-to-Rate (RR) intervals between adjacent QRS complexes are the result of sinus node depolarization. The signal processing analysis of the measurement provides indicators to estimate the ANS (Autonomic Nervous System) activity.