DESC:
FORM-2
THE PATENTS ACT, 1970 (39 OF 1970)
&
The Patents Rules, 2003
COMPLETE SPECIFICATION
[See section 10 and rule 13]

“A highly accurate, fast, non-invasive haemoglobin measurement system and an associated process”

ACCULI LABS PRIVATE LIMITED, an Indian startup having address-31,
Ground Floor, Basappa Layout, Near Bhel Water Tank, Pattangere, Main Road, RR Nagar, Bangalore-560098, India.

The following specification particularly describes the invention and the manner in which it is to be performed.

Field of the Invention:
The present invention belongs to a haemoglobin measurement process. More particularly the invention belongs to photoplethysmography to detect blood components, haemoglobin, compensating skin melanin effect.
Even more particularly the invention provides haemoglobin measurement from photo-chromatic analysis of capillary blood.
The present invention provides non-invasive haemoglobin measurement process with help of smartphone camera by capturing capillary blood flow through live video motion using only visible light spectrum.

Background of the invention:
Various types of process and apparatus for haemoglobin measurement have been found in the prior art. Some of those are discussed here.

By the reference of PCT patent no. PCT/SE2000/001739 by Lars-Göran LINDBERG, Gunnar Enlund, Magnus Vegfors dated September 8, 2019 titled “Method and apparatus for detecting blood characteristics including haemoglobin”, The present invention relates to a method for detecting blood characteristics including haemoglobin in a fluid medium using both transmission and reflection of a light beam which forms a quotient.

By the reference of USA patent no. US9770197B2 by Erik BRESCH, Willem Verkruijsse, Marek Janusz Bartula dated November 23, 2019 titled “Device and method for extracting physiological information”, The present invention relates to a device and a method for extracting physiological information from detected electromagnetic radiation emitted or reflected by a subject. A data stream derived from detected electromagnetic radiation is received. The data stream comprises a continuous or discrete characteristic signal including physiological information indicative of at least one vital parameter, the characteristic signal comprising at least one indicative signal component representative of a detected spectral portion indicative of the at least one vital parameter. The data stream at least sectionally comprises at least one auxiliary signal component detected along with the at least one indicative signal component, the at least one auxiliary signal component being representative of a distinct spectral portion. A characteristic signal discrepancy between at least one of the at least one indicative signal component and the at least one auxiliary signal component is detected, the signal discrepancy being related to a physiological state of the subject. A signal calibration parameter is determined under consideration of the detected signal discrepancy. Consequently, the at least one vital parameter can be detected under consideration of the calibration parameter.

By the reference of PCT patent no. PCT/US2019/020675 by Md Kamrul HASAN, Sheikh Iqbal AHAMED, Richard R. LOVE dated March 5, 2019 titled “Method and apparatus for non-invasive haemoglobin level prediction”, An image-based haemoglobin estimation tool for measuring haemoglobin can be embedded in hand held devices such as smartphones, and similar known and to be developed technology. The hand-held device acquires video data of a finger illuminated from the dorsal surface by a first near infrared light responsive to haemoglobin and a second near infrared light near responsive to plasma. The acquired video is segmented into frames and processed to produce a Photoplethysmography (PPG) waveform. The features of the PPG waveform can then be identified, and the waveform and corresponding features evaluated by a predictive haemoglobin model. The predictive haemoglobin model can be provided at a remote computer, enabling non- invasive haemoglobin analysis from point of care locations. Near infrared lights of 850 nm and 1070 nm are particularly effective in the process.

By the reference of patent no. JP2016190022A by National University Corporation Tohoku University, Tohoku University dated 30/03/2015 titled Biological information measuring device, biological information measuring method, biological information display device and biological information display method. The present invention provides provide a biological information measuring device, a biological information measuring method, a biological information display device, and a biological information display method capable of simply and non-contacting measuring blood pressure fluctuations of a human body.
A biological information measuring apparatus according to an embodiment includes a calculating unit and a measuring unit. The calculation unit calculates information relating to the pulse wave of the subject based on the luminance information of the subject's video signal. A measurement part measures the fluctuation/variation of a subject's blood pressure based on increase/decrease in the information regarding a pulse wave according to the part of the subject who acquired the video signal.

By the reference of USA patent, no. US20190008392A1 by University of Washington dated 22/12/2015 titled, Devices and methods for predicting haemoglobin levels using electronic devices such as mobile phones. The present invention provides electronic devices which may serve as haemochromatic analysers, leveraging sensors and computation available on the electronic devices themselves, such as smartphones and smartwatches. In this manner, minor to no hardware modification may be required to a mobile phone or other electronic device to allow the device to predict haemoglobin levels.

By the reference of patent, no WO2015081299A2 by Benaron David A dated 26/11/2013 titled, Method and device for detecting physiology at distance or during movement for mobile devices, illumination, security, occupancy sensors, and wearables. The present invention provides An improved sensor (102), system and method for physiology monitoring in mobile devices, wearables, security, and other devices uses broadband light (114) transmitted to a target (125) such as the ear, face, or wrist of a living subject. Some of the scattered light returning from the target to detector (141) is passed through narrowband spectral filter set (155) to produce multiple detector regions, each sensitive to a different wavelength range. Data from the detected light is spectrally analysed to computationally partition the analysed data into more than one compartment of different temporal or physiological characteristics (such as arterial bloodstream, venous bloodstream, skin surface, tissue), and into more than one component compound (such as oxygenated haemoglobin, water, fat), allowing a measure of physiology of the subject localized to one compartment, thereby reducing the effects of body motion, position, and sensor movement that can be localized to other physiological compartments or components.

By the reference of Chinese patent no. CN104662409B by Sony Corporation titled, Condensing means, the condensing method and an optical detection system. The present invention relates to a condensing unit, said condensing means comprises: a reflective member having a hollow dome shape, which side walls are curved and extend from top to bottom, the reflecting member having a mirror polished inner surface ; and a plurality of light irradiation means which is disposed around the outer wall of said reflecting member, and the first opening portion using the light passing through the irradiation region to the top of the first opening portion formed in the the outer wall. The reflecting means comprises: a second opening portion which is formed in the top of the irradiation region, and a third opening portion, a light receiving lens which is formed in the light receiving unit and said bottom face, said light receiving means for performing a predetermined process for the received light.
By the reference of US patent no. US9547899B1 by University of South Florida dated 07/10/2014 titled, a system for haemolysis detection, where the system generally includes—individually or in combination—a containment apparatus for holding the blood sample and a software application for analysing the blood sample. The containment apparatus houses the sample therein, and blocks out any light from penetrating the apparatus and reflecting off of the sample. In conjunction, the software application uses camera colour for processing the colour of the sample to determine the haemoglobin level in plasma based on the colour.

However, none of the above discussed inventions provides a highly accurate, fast, non-invasive haemoglobin measurement system and an associated process. The present invention provides advanced non-invasive diagnostic solution using arterial pulse to detect haemoglobin level from mobile based application. The invention provides haemoglobin measurement from photo-chromatic analysis of capillary blood.
The invention provides non-invasive haemoglobin measurement process with help of smartphone camera by capturing capillary blood flow through live video motion using only visible light spectrum and analyses photo reflection at the blood capillary in the finger using mobile camera & extracts arterial pulse using the principle of photoplethysmography.

Objectives of the invention:
Main objective of the invention is to provide a non-invasive haemoglobin measurement process.
Another objective of the invention is to provide haemoglobin calculation from the smart phone camera.
Another objective of the invention is to provide haemoglobin measurement from photo-chromatic analysis of blood capillary.
Another objective of the invention is to provide non-invasive measurement of haemoglobin levels by continues analysis of the RGB histogram from mobile phone images of the fingertip.
Another objective of the invention is to provide non-invasive indication of HbA1c, Haemoglobin, TSH, Protein levels and Uric Acid.

Another objective of the invention is to provide a solution to the problem such as melanin effect on the light reflection to build strong Haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array.

Another objective of the invention is to provide ease of use can capture the data just in three minutes, without interacting with any other standard protocols.

Another objective of the invention is to provide calculation of Haemoglobin from different methods and then combining them with Spectral Analysis, the invention provides high accuracy of around 93.88%.
Another objective of the invention is to provide steps of haemoglobin measurement.
Another objective of the invention is to provide blood biochemistry i.e. blood composition.
Another objective of the invention is to provide ANOVA regression analysis wherein normal probability plot is drawn to show Haemoglobin level according to sample percentile as shown in figure 4.
Another objective of the invention is to provide accuracy study as shown in figure 1 and figure 2.

Summary of the invention:
The presents methods for non-invasive measurement of haemoglobin levels by continues analysis of the RGB histogram from mobile phone images of the fingertip. The invention provides non-invasive indication of HbA1c, Haemoglobin, TSH, Protein levels and Uric Acid. The solution to the problem with melanin effect on the light reflection to build strong Haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array has been provided in the invention. Due to its ease of use can capture the data just in three minutes, without interacting with any other standard protocols.

Statement of the invention:
The present invention provides a highly accurate, fast, non-invasive haemoglobin measurement system and an associated process wherein non-invasive measurement of haemoglobin levels by continuous analysis of the RGB histogram from mobile phone images of the fingertip is disclosed. Due to its ease of use, it can capture the data just in three minutes, without interacting with any other standard protocols. The solution to the problem with melanin effect on the light reflection to build strong haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array has been provided in the invention. The invention is to provide calculation of Haemoglobin from different methods and then combining them with Spectral Analysis, the invention provides high accuracy of around 93.88%. Another objective of the invention is to provide steps of haemoglobin measurement. The system can also provide blood biochemistry i.e. blood composition. Further, ANOVA regression analysis wherein normal probability plot is drawn to show Haemoglobin level according to sample percentile as shown in figure 4. Another feature of the invention is to provide accuracy study as shown in figure 1 and figure 2.

Brief Description of Drawings:
Figure 1. Patient’s Hb tracked with accuracy of 83%. The plot shows original and calculated haemoglobin measurement.
Figure 2. Patient’s Hb tracked with accuracy of 84%. The plot shows original and calculated haemoglobin measurement.
Figure 3. Represents accuracy histogram showing statical analysis.
Figure 4. Normal probability plot which shows sample percentile Vs haemoglobin level.
Figure 5. Represents statistical overview of Real HB Vs Actual Correlation
Figure 6. Represents RGB spectrum, which shows intensity of red colour also i.e. more the redness more is the haemoglobin in the blood
Figure 7. Represents signal quality analysis of the system and process used in the present invention.
Figure 8. Represents haemoglobin distribution in skin (WHO reference range) and used for comparison of present invention only.

Detailed description of the invention:
It should be noted that the particular description and embodiments set forth in the specification below are merely exemplary of the wide variety and arrangement of instructions which can be employed with the present invention. The present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. All the features disclosed in this specification may be replaced by similar other or alternative features performing similar or same or equivalent purposes. Thus, unless expressly stated otherwise, they all are within the scope of present invention. Various modifications or substitutions are also possible without departing from the scope or spirit of the present invention. Therefore, it is to be understood that this specification has been described by way of the most preferred embodiments and for the purposes of illustration and not limitation.
The present invention further improves signal processing to compensate for abnormalities /changes in other blood components such as MCHC (mean cell haemoglobin concentration), MCV (Mean corpuscular volume), the problem with melanin effect on the light reflection to build strong Haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array. Due to its ease of use, it can capture the data just in three minutes, without interacting with any other standard protocols.
The presents methods for non-invasive measurement of haemoglobin levels by continuous analysis of the RGB histogram as shown in figure 6 from mobile phone images of the fingertip. These studies have progressed the non-invasive blood biochemistry diagnosis field. However, blood-biochemistry is affected by significant other aspects and they effect cardiovascular health in deterministic ways. As such, if cardiovascular health and non-invasive capillary analysis is correlated, then more accurate blood biochemistry indication can be obtained. The invention provides non-invasive indication of HbA1c, Haemoglobin, TSH, Protein levels and Uric Acid.
The present invention provides most accurate regular monitoring of Anaemia, Thalassemia and help assessing overall health status on a regular basis. Many in the past tried to calculate Haemoglobin based on Light Scattering on finger capillary. If Haemoglobin is low (<10), redness of blood decreases, less light is reflected. When Haemoglobin is more (>16) light reflection increases.
However, Redness of the blood doesn’t purely depend upon Haemoglobin but also, it’s Oxygen binding and other biochemistry composition, like Bilirubin makes the blood more yellowish. From the chromatography analysis it is clear that if the redness value is 15.8, it represents various red components and their morphology.

If a patient has hypoxia (low oxygen), or fever (high white blood cells), or Jaundice, or high Uric acid then Anaemia cannot be detected. But Anaemia causes irregular heart-beat, lowers para sympathetic nervous system, increases heart rate, causes blood volume to change and many other changes beside spectral changes.
By calculating Haemoglobin from different methods and then combining them with Spectral Analysis, the invention provides high accuracy. The tests need to be carried out in fasting or at least two hours from the last meal. This is because of elevated metabolic activities in the body after food which can significantly affect the test results.
The invention provides the analysis of the fingertip video image for the development of non-invasive haemoglobin measurement. The steps are as follows:
1. Record the fingertip video data;
2. Analysis of the captured fingertip video and correlate the pixel information with the different level of Hb;
3. Data analysis and comparison of the histogram values, masked RGB image, and regression results based on input feature matrix of red, green and blue pixels;
The associated process represents signal quality analysis as shown in figure 6 wherein the process involves keeping the finger on the Mobile camera thereby continuously capturing the video image (input 1). The ambient light value from the light sensor (input 2) and accelerometer value (input 3) is captured continuously. From the average accelerometer reading, finger movement is detected and if user has moved the finger, input1 is discarded. Therefore, if the finger was not in proper place or moved, that image is not considered for haemoglobin measurement. The video Frame is of size 640x480 and is of RGB type. From Input 1 images, the value of Red, Green and Blue are extracted for each pixel and their respective average is considered. These values range between 0-255. The average RED is the capillary pulse (CP) signal. The capillary pulse comprises of Arterial Pulse (AP) and Venus Pulse (VP) Hence, CP=AP+VP. Arterial Pulse (AP) contains oxygenated blood and VP contains deoxygenated blood. Therefore, we obtained haemoglobin from VP as Oxygen is mixed with haemoglobin and this component is affected by Spo2, which is affected by Lung function. Now to obtain arterial pulse (AP):

Let n be the current sample number, a [0] is CP at (n-2) time, a [1] is CP at (n-1) time instance and a [2] is CP at n time instance.
Let the value be CP at n instance If there were no signal available for n-2 than,
a [0] =value;
Else, if there were no signal available for n-2 than,
a [1] =value;

Else, if n-2, n-1 signal is available,
sdp= (2.5f*value-a [1]-a [0])/-2;

Shift, n-1 to n-2 position, n to n-1 position and AP to n position.
a [0] =a [1];
a [1] =a [2];
a [2] =value;

Take two derivates of sdp values. Let sdp [0] is sdp value of t-1 instance and sdp [1] is sdp value of t instance, where t=n+3;
If sdp at t-1 instance is not available
sdp1[0] =sap;

Else if sdp at t instance is not available
sdp1[1]= sdp;

Else, if both t and t-1 values of sdp is available then:
AP=(2.5f*sdp1[2]-sdp1[1]-sdp1[0])/2;
VP=CP-AP. Point to be noted here is that CP was Red, average, AP is derived from CP, so, AP is also Red component, and VP is also red component.
If the data was captured for 120 seconds and frame rate was 30 frames/sec, then we get totally 3600 values of Red.
This serial value was read and converted into an image of size 32x32 (output1). The capillary images obtained were compared with WHO haemoglobin strip as shown in figure 6.
Light Intensity (Input2) must be 50. If the Input 2 is more than 50 (which means environmental light is too bright, then haemoglobin spectrum will come brighter, or less haemoglobin. Therefore, the intensity must be reduced from output1. Similarly, if the Input 2 is less than 50, there is insufficient light, due to which haemoglobin will come more. In that case we need to increase the colour of output.
So, Light Difference (LD)= (Input 2)-50
If LD is greater than 50 or lesser than -50, cap this to +50 or -50 respectively.
Output 1= (Output1) -LD

Compare the Output1 with the image given in reference figure 8 between the wavelength of 600-750
Calculated Mean and Standard deviation of Output1 (Mo, So).
Calculated Mean and Standard Deviation of Each of the Reference images (Mr, Sr);
Calculate distance of output1 with each reference images as below: -
For i=1: 6
D(i)= sqrt((Mr(i)-Mo)2+(Sr(i)-So)2)

Find minimum of D(i), find its position. Say position is p, then haemoglobin WHO reference range is the haemoglobin corresponding to the pth reference image.

P Value Haemoglobin Range
0 >15
1 14
2 13
3 12
4 10
5 <9 Anaemic

From the above table WHO Reference Range, haemoglobin (output2) is calculated which is a range value of the haemoglobin.
Now estimated the actual haemoglobin Value from the reference range.

Calculated the mean difference between the output1 image and selected reference WHO image reference(p).
DA=Mr(p)-Mo(p)
Take the WHO ranges in an array. Range [0] =15, Range [1] =14, Range [2] =13, Range [3] =12, Range [4] =11, Range [5] =10, Range [6] =9
Obtain the range from p. R=Range[p]
Estimated haemoglobin(output3) = 1f*DA+R;
Estimated haemoglobin is final haemoglobin Value in the present invention. in the present invention the capillary impression is converted into a non-invasive pseudo Venus blood impression and compared visually with the WHO haemoglobin range.

The system captures videos continuously by keeping the finger on the rare mobile camera. Blood has got major component called haemoglobin. When oxygen is mixed with haemoglobin, blood gets more red. This is known as HBO2, i.e. oxygenated haemoglobin. When every cell soaks oxygen from the blood then redness of the blood reduces which is the deoxygenated haemoglobin. When blood is red there is enough oxygen and when blood is less red it has no oxygen. So, if we keep on capture the video in the finger capillary the video will be red at some instance and less red in the next instance. And how much longer it’s going to be red, depends on how blood is being pumped by the heart that depends upon heart rate. By analysing the rate at which the redness is changing in the capillary, we can calculate the heart rate also.
A mobile based tool that captures video continuously from the finger capillary through the video signal processing by measuring the change in the redness. It confirms that the change in the redness into a pulse signal then from the pulse signal it calculates continuous heart rate in every 10 seconds, then it checks how much that heart is varying from first 10 sec to next 10 sec and so on. And calculates hearts rate variability.
The system calculates everything based on the change in the oxygen factor in the blood. So, when the heart is carrying oxygenated blood our signal peaks, when the vein is carrying deoxygenated blood the signal dips. There is variation in the signal peaks and dips. When there is a blockage inside the arterial network, this will show change in the light signal. By calculating the amount of scattering in the signal we can calculate whether that signal has more arterial stiffness or blockages.
The system shows mixing of oxygen with the haemoglobin. This blood has many other component-like enzymes, uric acid, potassium etc. along with sugar.
Suppose if there is infection in the body, WBC will increase and white part of the signal will also change. So, by measuring the lights that are getting reflected, by how much they are getting reflected and which are the colour of the light that are reflected out, we can get some measurement about blood biochemistry i.e. composition of the blood. If the blood has whiter component, more amount of white spectrum or amount of white light will be reflected. If blood has more protein in it which means somebody has been drinking a lot, the enzymes and the liver protein will be mixed in the blood, hence blood will have more protein. If blood has more protein under that situation the blue component as the enzymes are bluish, and more amount of blue light will be reflected. By calculating what light is reflected and how much, we can calculate the blood chemistry of the body.
Table 1.

The table above shows the accuracy in the measurement of haemoglobin.
The chromatography plot represents RGB spectrum as shown in Figure 6. The RGB pixel intensities of fingertip video image has been taken to correlate clinical Hb level to develop a non-invasive Hb measurement system.
Data’s collected from patients were used in ANOVA regression analysis wherein normal probability plot is drawn to show Haemoglobin level according to sample percentile as shown in figure 4.
In an exemplary embodiment, the said system provides the highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system facilitates haemoglobin calculation from the smart phone camera.
In another exemplary embodiment, haemoglobin measurement is done from photo-chromatic analysis of blood capillary from mobile phone images of the fingertip.
In another exemplary embodiment, the said system and associated process provides non-invasive measurement of haemoglobin levels by continues analysis of the RGB histogram from mobile phone images of the fingertip.

In another exemplary embodiment, the said system and associated process provides non-invasive indication of HbA1c, Haemoglobin, TSH, Protein levels and Uric Acid.
In another exemplary embodiment, the said system and associated process provides a solution to the problem such as melanin effect on the light reflection to build strong Haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array.

In another exemplary embodiment, the said system and associated process provides ease of use that can capture the data just in three minutes, without interacting with any other standard protocols.
In another exemplary embodiment, the said system and associated process provides calculation of Haemoglobin from different methods and then combining them with Spectral Analysis, the invention provides high accuracy of around 93.88%.

In another exemplary embodiment, the said system and associated process provides blood biochemistry i.e. blood composition.
In another exemplary embodiment, the said system and associated process provides the steps of haemoglobin measurement such as:
a. Record the fingertip video data.
b. Analysis of the captured fingertip video and correlate the pixel information with the different level of Hb.
c. Data analysis and comparison of the histogram values, masked RGB image, and regression results based on input feature matrix of red, green and blue pixels.
In another exemplary embodiment, the said system and associated process provides ANOVA regression analysis wherein normal probability plot is drawn to show Haemoglobin level according to sample percentile.

Advantages of the invention:
• It is a non-invasive process for easy measurement haemoglobin.
• There is no need of extra hardware such as LED array.
• It provides high accuracy.
• Tool that can help in detection of early stage or borderline or asymptomatic chronic deceases and help people to monitor it better.
• Through various clinical trials the accuracy and the perfection of the system has been taken to such a level where it has been developed as clinical grade system.
• It helps doctors to deliver patient centric care.
• It can rightly intervene at the start of the decease and eliminate before that disease actually becomes permanent.

,CLAIMS:We claim:
1. A highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, said system comprising haemoglobin measurement using a mobile phone device wherein the process uses mobile based tool, RGB histogram drawn from the chromatographic analysis of blood capillary, statical overview of haemoglobin, user friendly tool, spectral analysis, blood biochemistry and high accuracy of process involved in the haemoglobin measurement within a time period of 3 minutes at an accuracy of minimum 93 percent.
2. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides haemoglobin calculation from the smart phone camera.
3. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said haemoglobin measurement is done from photo-chromatic analysis of blood capillary from mobile phone images of the fingertip.
4. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides non-invasive measurement of haemoglobin levels by continues analysis of the RGB histogram from mobile phone images of the fingertip.
5. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides non-invasive indication of HbA1c, Haemoglobin, TSH, Protein levels and Uric Acid.
6. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides a solution to the problem such as melanin effect on the light reflection to build strong Haemoglobin calculation from the Smart Phone camera itself without any extra hardware such as LED array.
7. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides ease of use can capture the data just in three minutes, without interacting with any other standard protocols.

8. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides calculation of Haemoglobin from different methods and then combining them with Spectral Analysis, the invention provides high accuracy of around 93.88%.
9. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides blood biochemistry i.e. blood composition.
10. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system is comprising the steps of haemoglobin measurement as:
a. Record the fingertip video data.
b. Analysis of the captured fingertip video and correlate the pixel information with the different level of Hb.
c. Data analysis and comparison of the histogram values, masked RGB image, and regression results based on input feature matrix of red, green and blue pixels.
11. The highly accurate, fast, non-invasive haemoglobin measurement system and an associated process, wherein said system provides ANOVA regression analysis wherein normal probability plot is drawn to show Haemoglobin level according to sample percentile.