A METHOD AND SYSTEM FOR ESTIMATION OF BLOOD ANYLATES

• US 20160007922A1
• Filed: 03/03/2014
• Published: 01/14/2016
• Est. Priority Date: 03/01/2013
• Status: Abandoned Application

• Current Assignee: Abhishek Sen, Aman Midha
• Original Assignee: Abhishek Sen, Aman Midha
• Inventors: Sen, Abhishek, Midha, Aman
• Application Number:
  US14/771,613
• Publication Number:
  US 20160007922A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2562/0238 Optical sensor arrangements for performing transmission measurements on body tissue
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1079 using optical or photographic means
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick

Abstract

The present invention relates to a method and system for estimation of blood anylates, more particularly the invention relates to mitigation strategies for the confounding factors in the non-invasive estimation of blood anylates. The present invention is hypothesized to measured with an accuracy reasonable for an anemia screening tool through measurement of the following parameters Finger Size, Transmitted infrared light through the finger, Finger tip temperature.

Claims

1. A system for non-invasive estimation of blood anylates, the system comprise:

a finger probe, the finger probe comprise of a flexible silicon rubber sleeve, a rigid ABS framework, at least one reflective optical proximity sensor (RPR-220) on the top side of the ABS frame work, consisting of at least one narrow viewing angle NIR LED and at least one phototransistor, inside of the rubber sleeve comprise at least Two LEDs of 660 and 940 nm, at least one silicon photodiode and at least one thermistor (NTC) and at least one probe wire to carry signals;

at least one input device such as keyboard having at least one key for setting input,

at least one output device such as display device, preferably LCD display;

at least one ADC to receive the analog input from the at least one phototransistor, the at least one thermistor and the at least one silicon photodiode and convert it into equivalent digital signal and provide as output;

a memory;

a processor, the processor configured to receive the signal inputs provided by the ADC, process the input signal received from ADC i.e. equivalent to the thermistor output signal, process the input signal received from ADC i.e. equivalent to the phototransistor output signal to determine the finger size, perform error correction through representative correction set based on the finger tip temperature, process the input signal received from ADC i.e. equivalent to the silicon photodiode output signal to determine the total haemoglobin by plotting the finger size against the ADC signal corresponding to the output of the silicon photodiode to determine which of the reference line the plot coincides and thus determining the value of the total haemoglobin based on the reference table stored as the LUTs at memory, activate the output device such as display device, and display device preferably a LCD display to display the resultant value of the haemoglobin.

2. The system as claimed in claim 1 wherein the finger probe is constructed where the finger is to be inserted in a silicon rubber sleeve which is flexible and expands to accommodate different finger sizes.

3. The system as claimed in claim 1 wherein the flexible silicon rubber part of the sleeve attaches to a rigid, ABS “

framework”

which encompasses the rubber sleeve.

4. The system as claimed in claim 1 wherein the ABS framework houses a reflective optical proximity sensor (RPR-220) on the top side, consisting of a narrow viewing angle NIR LED and a phototransistor wherein the NIR LED shines light on the top of a flat portion of the rubber sleeve and the reflected light is detected by the phototransistor.

5. The system as claimed in claim 1 wherein the amount of light reflected to the phototransistor depends on two factors, the distance between the flat surface of the silicon rubber sleeve and the sensor and the reflectivity of the flat surface of the silicon rubber sleeve.

6. The system as claimed in claim 1 wherein the reflectivity of the surface of the rubber sleeve is remain constant,

7. The system as claimed in claim 1 wherein the output of the phototransistor directly depends on the distance between the flat top surface of the rubber sleeve and the optical sensor since, the rubber sleeve is flexible

8. The system as claimed in claim 1 wherein the finger size is inversely related to the distance between the top of the rubber sleeve and the optical proximity sensor housed in the ABS framework.

9. The system as claimed in claim 1 wherein to prevent effects of ambient light on the optical proximity sensor, a tunnel is built around the optical proximity sensor.

10. The system as claimed in claim 1 wherein the two LEDs Inside the rubber sleeve, are used in a “

transmittance”

pattern where the LEDs and photodiode are on two different, parallel planes.

11. The system as claimed in claim 1 wherein the LEDs are controlled in a way such that they emit light with three different intensities.

12. The system as claimed in claim 1 wherein the NTC thermistor measures the fingertip temperature at the pulp of the finger.

13. The system as claimed in claim 1 wherein The finger size is determined through the relative referencing of the reference LUT'"'"'s stored at the memory

14. A method for non-invasive estimation of blood anylates, the method comprising steps of:

setting a finger in to a finger probe;

on receiving initialize input from the key board initialize the probe to set on at least one reflective optical proximity sensor placed on the top side of a ABS frame work consisting of at least one narrow viewing angle NIR LED and at least one phototransistor;

on receiving initialize input from the key board initialize the probe to set on at least Two LEDs of 660 and 940 nm, at least one silicon photodiode and at least one thermistor (NTC) placed inside the rubber sleeve;

collect the output signal generated by the phototransistor through ADC;

collect the output signal generated by the silicon photodiode through ADC;

collect the output signal generated by the thermistor through ADC;

transmit the digital signal equivalent to the output received from photodiode;

thermistor and silicon phototransistor to the processor;

receive the signal inputs provided by the ADC at the processor;

process the input signal received from ADC i.e. equivalent to the phototransistor output signal to determine the finger size;

process the input signal received from ADC i.e. equivalent to the silicon photodiode output signal to determine the total haemoglobin by plotting the finger size against the ADC signal corresponding to the output of the silicon photodiode to determine which of the reference line the plot coincides and thus determining the value of the total haemoglobin based on the reference table stored as the LUTs at memory, activate the output device such as display device;

display the resultant value of the haemoglobin.

15. The method as claimed in claim 14 wherein the finger size is determined through the relative referencing of the reference LUT'"'"'s stored at the memory and error correction through representative correction set based on the finger tip temperature.

The reference table is generated from the experimental data that is collected in a general outpatient sample population wherein reference haemoglobin is determined through Invasive collection via venepuncture and quantification using the cyanmeth, Drabkin'"'"'s method. Units—

g/dl and finger size is measured by measuring finger circumference at the middle of the distal phalynx with the help of a measuring tape. Units—

mm.

16. The method as claimed in claim 14 wherein the reference table relationship is plotted wherein the Lowest line represents Reference Hb of 14 g/dl and the top most line represents Reference Hb of 7 g/dl. Each line in the middle is at a resolution of 1 g/dl. Eg. Y axis of 2000 for finger size 40 represents Hb of 14 g/dl. Y axis of 2000 for finger size 45 represents Hb of 12 g/dl

17. The method as claimed in claim 14 wherein the amount of light reflected to the phototransistor depends on two factors, the distance between the flat surface of the silicon rubber sleeve and the sensor and the reflectivity of the flat surface of the silicon rubber sleeve.

18. The method as claimed in claim 14 wherein the reflectivity of the surface of the rubber sleeve is remain constant,

19. The method as claimed in claim 14 wherein the output of the phototransistor directly depends on the distance between the flat top surface of the rubber sleeve and the optical sensor since, the rubber sleeve is flexible

20. The method as claimed in claim 14 wherein the finger size is inversely related to the distance between the top of the rubber sleeve and the optical proximity sensor housed in the ABS framework.

21. The method as claimed in claim 14 wherein The LEDs are controlled in a way such that they emit light with three different intensities.

22. The method as claimed in claim 14 wherein the NTC thermistor measures the fingertip temperature at the pulp of the finger.

23. The method as claimed in claim 14 wherein the correlation coefficient is determined between finger size, ADCsignal value, Hb in g/l, skin color captured through experimental data collected from general outpatient sample population.

24. The method as claimed in claim 14 wherein based on correlation coefficient plots, it is hypothesized to measure with an accuracy reasonable for an anemia screening, only parameters that to be measured are finger size, transmitted infrared light through the finger and finger tip temperature and determine reference table that is to be stored as reference LUTs at memory,