METHOD AND APPARATUS FOR DETECTION OF INSULIN RESISTANCE, DIABETES AND CARDIOVASCULAR DISEASE
A method to detect insulin resistance, diabetes and/or cardiovascular or autonomic neuropathy complications, the method comprising performing a spectral analysis using Fast Fourier Transformation (FFT) of the first derivative of total records of an oximeter wave form (plethysmograph), to obtain 3 frequencies; high (PTGHF), low (PTGLF) and very low (PTGVLF) frequencies wherein the sum of the 3 frequencies is the total power of the spectral analysis in ms 2 (PTG TP) and wherein the sum of the amplitude of the 3 frequencies is the PTG Index of the Spectral Analysis (PTGi).
1 . A method to detect insulin resistance, diabetes and/or cardiovascular or autonomic neuropathy complications, the method comprising performing a spectral analysis using Fast Fourier Transformation (FFT) of the first derivative of total records of an oximeter wave form (plethysmograph), to obtain 3 frequencies; high (PTGHF), low (PTGLF) and very low (PTGVLF) frequencies wherein the sum of the 3 frequencies is the total power of the spectral analysis in ms 2 (PTG TP) and wherein the sum of the amplitude of the 3 frequencies is the PTG Index of the Spectral Analysis (PTGi).
2 . The method of claim 1 wherein PTG TP >370 m/s 2 is a marker for insulin resistance.
3 . The method of claim 1 wherein PTGi <40 is a marker of diabetes and endothelial dysfunction or atherosclerosis.
4 . The method of claim 1 wherein PTGVLFi is calculated with an algorithm using PTG VLF and a marker of the sudomotor function using a galvanic skin response device wherein PTGVLFi >33 is a marker for diabetes and cardiac autonomic neuropathy.
5 . The method of claim 1 wherein the measurements are carried out using an oximeter and a galvanic skin response device.
6 . The method of claim 2 wherein the measurements are carried out using an oximeter and a galvanic skin response device.
7 . The method of claim 3 wherein the measurements are carried out using an oximeter and a galvanic skin response device.
8 . The method of claim 4 wherein the measurements are carried out using an oximeter and a galvanic skin response device.
9 . Use of an oximeter and galvanic skin response device in the method of claim 1 .
10 . Use of an oximeter and galvanic skin response device in the method of claim 2 .
11 . Use of an oximeter and galvanic skin response device in the method of claim 3 .
12 . Use of an oximeter and galvanic skin response device in the method of claim 4 .
13 . Use of an oximeter and a galvanic skin response device in the detection of insulin resistance, diabetes and cardiovascular complications such as atherosclerosis and autonomic neuropathy.
14 . An apparatus for use in the detection of insulin resistance, diabetes and/or cardiovascular or autonomic neuropathy complications, the apparatus comprising software installed on a PC and an oximeter wherein the software is capable of performing a fast Fourier transformation of the first derivative of total records of a plethysmograph trace from the oximeter and provides the frequencies of the resulting spectral analysis of high (PTGHF), low (PTGLF) and very low frequencies (PTGVLF) and the total power PTGTP (the sum of the surface of the 3 frequencies in ms 2) (meters per second squared) and the sum of the amplitude of the 3 frequencies of the spectral analysis, the PTGi.
15 . The apparatus of claim 14 wherein the software calculates the PTGVLF Index using a combination of oximeter and a galvanic skin response device.
16 . The apparatus of claim 15 wherein the apparatus is the TM-Oxi system and SudoPath hardware and software.
17 . The apparatus of claim 14 wherein the apparatus is the TM-Oxi system and SudoPath hardware and software.