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

“ Myocardial infarction (MI) detection system and an associated process”

ACCULI LABS PRIVATE LIMITED, an Indian company of 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 relates to a myocardial infarction (MI) detection system and an associated process.
More particularly the invention relates to using photoplethysmography technique to detect heart rate variability, non-invasive Arterial pulse, Orthostatic Homeostasis, non-invasive functional blood biochemistry and combining them into a suitable cardiovascular risk assessment profile.
Even more particularly the invention uses human arterial pulse and capillary pulse to detect myocardial infarction by analysing heart rate variability, low parasympathetic system, increase protein in the blood, heart rate irregularity, Orthostatic homeostasis deviation, low vascular dynamics and improper left ventricular afterload (LVA).
Background of the invention:
Various types of process and apparatus for myocardial infarction detection have been found in the prior art. Some of those are discussed here.
By the reference of USA patent no. US20150182132A1 by Paul Ronald Harris Ji Feng Li dated August 10, 2012 titled “Mobile device system for measurement of cardiovascular health”, A system that continuously monitors cardiovascular health using an electrocardiography (ECG) source synchronized to an optical (PPG) source, without requiring invasive techniques or ongoing, large-scale external scanning procedures. The system includes an ECG signal source with electrodes contacting the skin, which generates a first set of information, and a mobile device having a camera which acts as a PPG signal source that generates a second set of information. Together with the mobile device's processor, configured to receive and process the first and second sets of information, from which the time differential of the heart beat pulmonary pressure wave can be calculated, continuous data related to cardiovascular health markers such as arterial stiffness can be determined. Variations of the ECG source may include a chest strap, a plug-in adaptor for the mobile device, or electrodes built into the mobile device.
Another reference has been made to US patent no. US20160080548A1 by David Erickson, Seoho Lee, Dakota O'Dell, Saurabh Mehta, Vlad-Victor Oncescu, Matthew Mancuso dated January, 21 2013 titled “Smartphone-Based Apparatus and Method”, A method for obtaining a point-of-collection, selected quantitative indicia of an analyte on a test strip using a smartphone involves imaging a test strip on which a colorimetric reaction of a target sample has occurred due to test strip illumination by the smartphone. The smartphone includes a smartphone app and a smartphone accessory that provides an external environment-independent/internal light-free, imaging environment independent of the smartphone platform being used. The result can then be presented quantitatively or turned into a more consumer-friendly measurement (positive, negative, above average, etc.), displayed to the user, stored for later use, and communicated to a location where practitioners can provide additional review. Additionally, social media integration can allow for device results to be broadcast to specific audiences, to compare healthy living with others, to compete in health-based games, create mappings, and other applications.
Another reference has been made to US patent no. US8961185B2 by Jeffery Lee Bleich, Paul David Mannheimer, Jeffrey Lawrence Michels, Marc David Anker dated August 19, 2011 titled “System and method for reliably coordinating musculoskeletal and cardiovascular hemodynamics”, Systems and methods are disclosed to enable a user to favorably coordinate the timing of musculoskeletal movement and skeletal muscle contraction and relaxation with the cardiac pumping cycle in order to improve perfusion of cardiac and peripheral skeletal muscle and other tissues, increase physiological efficiency, decrease myocardial stress, and enhance individual performance, health and safety during rhythmic physical activity. Additionally, systems and methods are disclosed to enable a user to avoid inadvertent unfavourable coordination of musculoskeletal movement and skeletal muscle contractions and relaxation cycles with the cardiac pumping cycle during physical activity.
Another reference has been made to US patent no US10172517B2 by Jawahar Jain, Cody Wortham, James Young, Sajid Sadi, Pranav Mistry, Abhijit Z. Bendale dated February 25, 2016 titled “Image-analysis for assessing heart failure”, An apparatus for assessing heart failure can include an image sensor configured to capture image data of a patient, a sensor configured to capture sensor data for the patient, a memory configured to store the image data and the sensor data, and a processor coupled to the image sensor, the sensor, and the memory. The processor is configured to receive image data in response to detecting a biological condition from the sensor data, wherein the biological condition is indicative of psychophysiological health and cardiac health. The processor is further configured to detect a visual characteristic from the image data, wherein the visual characteristic is indicative of heart health, and, in response to detecting the visual characteristic, provide an indication that the patient is experiencing a worsening of heart failure.
Another reference has been made to US patent no US20180140255A1 by Pulson Inc dated 14/03/2014 titled “System and method for non-contact monitoring of physiological parameters”. The invention relates to a system and method for monitoring one or more physiological parameters of a subject under free-living conditions is provided. The system includes a camera configured to capture and record a video sequence including at least one image frame of at least one region of interest (ROI) of the subject's body. A computer in signal communication with the camera to receive signals transmitted by the camera representative of the video sequence includes a processor configured to process the signals associated with the video sequence recorded by the camera and a display configured to display data associated with the signals.
Another reference has been made to US patent no US20090226071A1 by Motorola Solutions Inc dated 06/03/2008 titled “Method and Apparatus to Facilitate Using Visible Light Images to Determine a Heart Rate Priority”. The invention relates to an apparatus (400) can receive (101) a plurality of visible light images as correspond to a subject's skin (403) proximal to a blood-transporting capillary (404) and then process (102) that plurality of visible light images to thereby determine a heart rate for the subject. These teachings will accommodate both light-transmissive images and light-reflective images. By one approach, these visible light images can comprise images that are captured by use of a cellular telephone camera (402). The aforementioned processing can occur, in whole or in part, at the cellular telephone or at a remotely located server (408).
Another reference has been made to Korean patent no KR20190100767A by Samsung Electronics Co., Ltd dated 21/02/2018 titled “Electronic device and method for providing information regarding cardiovascular state of user”. The invention relates to, an electronic device may include a housing, a display exposed through a first portion of the housing, a Photoplethysmogram (PPG) sensor exposed through a second portion of the housing, and located in the housing. And a processor operatively connected to the PPG sensor, and a memory located in the housing and operatively connected to the processor, wherein the memory, when executed, is first configured to use the PPG sensor in a first operation. Receive a first data and determine a plurality of reference ranges of the blood pressure based at least in part on the first data, store the plurality of reference ranges, and in a second operation, use the PPG sensor after the first operation 2 receive data, select at least one reference range from among the plurality of reference ranges, based at least in part on the second data, and Store instructions that cause the processor to provide at least one of a graphical user interface (GUI), text, or numerical value to indicate the selected reference range of the plurality of reference ranges on a display.
Therefore there is need of technology which provides a non-invasive solution of detection of myocardial infarction (MI) detection.
However, none of the above discussed inventions provide such myocardial infarction (MI) detection system and an associated process. The present invention provides a revolutionary non-invasive myocardial infarction (MI) detection system and an associated process, which is using arterial pulse to detect myocardial infarction by analysing heart rate variability, low parasympathetic system, increased protein in the blood, segment deviation, low vascular dynamics and improper left ventricular afterload (LVA) in case of angina (either stable or unstable) or acidity. The present invention provides speedy diagnosis of myocardial infarction with high accuracy more than 96 percent accuracy and able to provide these results within 5 minutes of time.
Objectives of the invention:
The main objective of the present invention is to provide a myocardial infarction (MI) detection system and an associated process through analysis of arterial pulse from the finger capillary.
Another objective of the invention is to provide a myocardial infarction (MI) detection system that helps to detect subclinical Atherosclerosis, Endothelial dysfunction, sinus and non-sinus arrhythmia.
Another objective of the present invention is to provide a myocardial infarction (MI) detection system through detailed HRV analysis; system cardio vascular risk analysis; system advanced PPG analysis; system non-linear HRV analysis; orthostatic homeostasis, chromatography, system signal tracing and general vitals.
Another objective of the present invention is to use heart rate variability to detect the snapshot of the current physiology through autonomic system.
Another objective of the present invention is to analyse low parasympathetic system.
Another objective of the present invention is to detect increased protein in blood using photochromatic analysis.
Another objective of the present invention is to analyse the ST segment deviation-either elevation or depression by an extremely high-end signal processing mechanism for abnormalities.
Another objective of the present invention is to check analysis of asymptomatic abnormalities.
Yet another objective of the invention is to provide a physiological vascular snapshot of vascular network.
Still another objective of the invention is to provide speedy diagnosis of myocardial infarction with high accuracy.
Summary of the invention:
The myocardial infarction (MI) detection system and an associated process includes pre-stent and post-stent analysis comprising subsequent monitoring of at least three Lyfas tests over one-hour period for patients with any of the symptoms related to heart attack such as Nausea, Vomiting, Stomach Pain, Chest pain, Cramps, Dry Mouth with past history of cardiovascular issues.
In one Lyfas test, an individual keeps his finger-tip in the mobile rare camera for two minutes in the sitting position through the Lyfas App. The app captures finger capillary subsequent video frames and extracts RGB color data. Furthermore, from red channel data, Capillary pulse is extracted. After this test is completed, the individual is required to take Orthostatic test. In this test, sitting data is captured for 20 seconds and then the user is instructed to stand up. A 50 seconds of data is captured in the standing position.

Each Lyfas test involves following intermediate steps of: i) Detailed HRV analysis includes IBI histogram, pNN50%, LF/HF, SD1/SD2, SpNN50% / SDNN; ii) Cardio vascular risk analysis includes HRV linear analysis; cumulative arterial risk; endothelial dysfunction; iii) Advanced PPG analysis includes graph and parameters; iv) Non-linear HRV analysis includes ectopic peak value; v) Orthostatic homeostasis includes Time vs HR graph, and Ortho vs Cardio score; vi) Chromatography, spectral graph; vii) Signal tracing and general vitals includes Haemodynamic, HR change and Cardiac Score.

If these parameters are shown a certain trend as described in the following sections in all the three consecutive tests than a very high probability of underneath heart attack is detected and alerted.

The present invention provides a non-invasive myocardial infarction (MI) detection system and an associated process with help of arterial pulse from the finger capillary through mobile camera. The present invention analyses a low parasympathetic system, increase of protein in the blood, extremely low vascular dynamics, a probable ST segment change in ECG detected through arterial pulse itself, improper left ventricular afterload (LVA) from arterial pulse in the case of angina (either stable or unstable) or acidity (inferior MI). The invention provides homeostasis, vitals and disease indicators of cardio-vascular system, pulmonary system, blood biochemistry, metabolic system, psycho-physiological system, autonomic nervous system, and muscle system, auto-immune system through a set of static and dynamic tests using various conventional and non-conventional parameters. The present invention enables speedy point of care diagnosis of MI with very high accuracy.
Statement of the invention:
A myocardial infarction (MI) detection system and an associated process, said system providing a non-invasive test based upon a mobile device, said system comprises myocardial infarction (MI) detection through analysis of arterial pulse from the finger capillary, said system is able to detect subclinical Atherosclerosis, Endothelial dysfunction, sinus and non-sinus arrhythmia; said process of myocardial infarction (MI) detection includes Post-stent and Post-stent analysis steps: i) Detailed HRV analysis; ii) Cardio vascular risk analysis; iii) Advanced PPG analysis; iv) Non-linear HRV analysis; v) Orthostatic homeostasis; vi) Chromatography; vii) Signal tracing and general vitals; said system also uses photoplethysmography technique, heart rate variability and analyses dynamic elasticity score, orthostatic homeostasis test; said system providing the same with more than 96 percent accuracy and able to provide these results within 5 minutes of time.
Brief Description of Drawings:
Figure 1 represents non-invasive myocardial infarction (MI) detection system and an associated process
Figure 2 represents system detailed HRV analysis.
Figure 3 represents check vascular risk analysis graphs.
Figure 4 represents check eptopic peak graph in non-linear HRV Analysis.
Figure 5 represents check chromatography.
Figure 6 represents pre-stent: case study.
Figure 7 represents post-stent: case study.
The referral numerals in the figures refer to: (1) - detailed HRV analysis; (2) - cardio vascular risk analysis ; (3) - advanced PPG analysis; (4) - non-linear HRV analysis; (5) - orthostatic homeostasis; (6) – chromatography; (7) - signal tracing and general vitals; (8) - Overall health score; (9) - Current health score; (1A) - IBI histogram; (1B) - pNN50%; (1C) - LF/HF; (1D) - SD1/SD2; (1E) - SpNN50% / SDNN; (2A) - HRV linear analysis; (2B) - cumulative arterial risk; (2C) - endothelial dysfunction; (3A) - graph; (3B) - parameters; (4A) - ectopic peak value; (5A) - Time vs HR graph; (5B) - Ortho vs Cardio score; (6A) - Spectral graph; (7A) - Haemodynamics; (7B) - HR change; (7C) - Cardiac Score; (10) - Myocardial infarction (MI) detection system.
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 provides a myocardial infarction (MI) detection system and an associated process comprises detailed HRV analysis (1), cardio vascular risk analysis (2), advanced PPG analysis (3); non-linear HRV analysis (4); orthostatic homeostasis (5); chromatography (6); signal tracing and general vitals (7) as mention in Figure 1.
The myocardial infarction (MI) detection system and an associated process comprises Post-stent and Post-stent analysis of steps:
1. Detailed HRV analysis (1) includes IBI histogram (1A), pNN50% (1B), LF/HF (1C), SD1/SD2 (1D), SpNN50% / SDNN (1E).
2. Cardio vascular risk analysis (2) includes HRV linear analysis (2A); cumulative arterial risk (2B); endothelial dysfunction (2C).
3. Advanced PPG analysis (3) includes graph (3A) and parameters (3B).
4. Non-linear HRV analysis (4) includes ectopic peak value (4A).
5. Orthostatic homeostasis (5) includes Time Vs HR graph (5A), and Ortho Vs Cardio score (5B).
6. Chromatography (6), spectral graph (6A).
7. Signal tracing and general vitals (7) includes Haemodynamics (7A), HR change (7B), Cardiac Score (7C).
The myocardial infarction (MI) detection system and an associated process comprises detailed HRV analysis (1) where such analysis (1) includes steps of: as mention in Figure 2:
1. Check IBI histogram -> are skyscrapping outliers present?;
• If yes likehood of cardiac event.
2. Check pNN50% LF/HF and SD1/SD2 :
• pNN50% < 10% or in red;
i. It may be potential tumor, HIV, chest pain or
ii. Chek SNS-PNS Pie chart.
• SD1/SD2 >3.5; it may potential anxiousness.
• LF/HF <1; it may Potential stress.
• LF/HF, SD1/SD2 and pNN50/SDNN are in similar range
3. check SNS-PNS Pie chart:
• is stress region in red?
i. Further explore reasons for high stress with patient.
• Is SNS not similar to PNS?
i. SNS-PNS imbalance detected. ANS affected.
4. Check vascular risk analysis graphs.
The myocardial infarction (MI) detection system and an associated process comprise cardio vascular risk analysis (2), wherein such analysis (2) comprises steps of: as mention in Figure 3.
The myocardial infarction (MI) detection system and an associated process comprise non-linear HRV analysis (4) includes steps of: as mention in Figure 4.
The myocardial infarction (MI) detection system and an associated process comprises chromatography (6), includes steps of: as mention in Figure 5.
The myocardial infarction (MI) detection system and an associated process comprise pre-stent: (case study) as shown in Figure 6.
1. IBI histogram has peaks - Cardiac Event;
2. pNN50% too low - Chest pain, cardiac event;
3. SNS-PNS abnormality;
4. Blockage of arteries and low vascular elasticity;
5. Uneven fork distribution - cardiac event;
6. Baro-receptor functioning hindered;
7. Overall low hemodynamic - cardiovascular system affected;
8. Ectopic peak high - lipid accumulation;
9. Spectrum merging; increase in green suggests troponin in blood; high chance of cardiac event.
10. Overall low health score. Immediate action needed.

If the above conditions are satisfied in all the three Lyfas tests taken atleast in 15 minutes interval, then a high risk of MI is detected.

Lyfas can not only detect the ongoing acute MI or possible MI in very near future, but it can also show the recovery from MI if a stenting(Angioplasty) is performed in the patient. In such a case a clear difference is observed in the parameters before the stenting and after the stenting.
The myocardial infarction (MI) detection system and an associated process comprise post-stent: (case study) as shown in Figure 7.
1. IBI histogram has even distribution;
2. pNN50% normal;
3. SNS - PNS normal;
4. No vascular blockage and risk of any happening low;
5. Even fork spreak but not parameters are red;
6. Baro-receptor functioning normally;
7. Overall good hemodynamic;
8. Ectopic peak normal;
9. Segmented spectrum with no spread of any colour;
10. Overall health and current health score is pretty high, shows recovery of patient post stenting.
The myocardial infarction (MI) detection system and an associated process provide non-invasive diagnostic solution which takes arterial from the finger capillary through myocardial infarction (MI) detection system. It then uses HRV- heart rate variability to detect the snapshot of the current physiology through autonomic system snapshot. A low parasympathetic system reflects high likelihood of MI in the case of angina (pain).
The present invention analyses the case of ST segment deviation – either elevation or depression by an extremely high-end signal processing mechanism, by means of which we are able to detect this abnormality, using the arterial pulse itself (image detecting something as complex as ST deviation in ECG from non-ECG pulse). A deviation of ST segment gets reflected through a different morphology of the arterial pulse which process, detects and validates a change in ST.
ECG is used as a gold-standard device to detect ST-Elevation, which is a structural Electrical Anomaly in the heart. Arterial pulse extracted by Lyfas on the other hand is related to the mechanical activity of the heart. But as blood circulation changes due to ST-Elevation and there is a non-linear correlation of this change with the Arterial pulse, Lyfas extrapolated this inherent correlation to detect the possible ST-Change through Arterial pulse itself.
Whenever there is a blockage in any part of the vascular system such as coronary arteries, the amount of light scattered through these plaques becomes higher.
The present invention provides physiological vascular snapshot of the vascular network, which we call Dynamic elasticity score. A blockage in coronary artery gets reflected graphically through process of myocardial infarction detection.
The present invention also provides an easy orthostatic homeostasis test. During MI, a patient’s heart rate does not get stabilizes when changing posture but with the help of this technique, it captures this phenomenon easily. The invention analyses process such as:
• A low parasympathetic system.
• Increase of protein in blood.
• Extremely low vascular dynamics.
• A probable ST segment change in ECG detected through arterial pulse.
• Improper left ventricular afterload (LVA) from arterial pulse in the case of angina (either stable or unstable) or acidity (inferior MI) confirms a high like hood of MI, as against current requirement for the patient to be in the hospital after an angina to be properly diagnosed through various tests.
The system (10) enables speedy point of care diagnosis of MI with a very high accuracy. The present invention provides a process of myocardial infarction detection that analyses photo reflection at the blood capillary in the finger using a mobile camera. It then extracts pulse and then uses a proven science of Diabetic Cardiovascular Autonomic Neuropathy to estimate the overall health status through a set of easy, static and dynamic tests and proven vitals.
The system (10) helps a clinician to detect subclinical Atherosclerosis, Endothelial Dysfunction, Sinus and non-sinus arrhythmia. It is a simple 5 minute’s test from mobile. It provides homeostasis, vitals and disease indicators of cardio-vascular system, pulmonary system, blood biochemistry, metabolic system, psycho-physiological system, autonomic nervous system, muscle system, auto-immune system through a set of static and dynamic tests using various conventional and unconventional parameters.
The myocardial infarction (MI) detection system and an associated process and conform about high likelihood of myocardial infarction (MI) by analysing a low parasympathetic system or increase of protein in the blood or extremely low vascular dynamics or a probable ST segment change ECG detected through arterial pulse itself or improper left ventricular afterload (LVA) from arterial pulse in the case of angina (either stable or unstable) or acidity (inferior MI).
In main embodiment of the present invention providing a non-invasive test based upon a mobile device, said system comprises myocardial infarction (MI) detection through analysis of arterial pulse from the finger capillary, said system is able to detect subclinical Atherosclerosis, Endothelial dysfunction, sinus and non-sinus arrhythmia, said system providing the same with more than 96 percent accuracy.
In embodiment of the present invention provides a process of myocardial infarction detection that analyses photo reflection at the blood capillary in the finger using a mobile camera and it then extracts pulse and then uses a proven science of diabetic cardiovascular autonomic neuropathy to estimate the overall health status through a set of easy, static and dynamic tests and proven vitals.
In another embodiment of the present invention provides a myocardial infarction (MI) detection system, which is able to provide myocardial infarction (MI) detection results within 5 minutes of time.
In another embodiment of the present invention provides a myocardial infarction (MI) detection system and an associated process thorough detailed HRV analysis (1), cardio vascular risk analysis (2), advanced PPG analysis (3); non-linear HRV analysis (4); orthostatic homeostasis (5); chromatography (6); signal tracing and general vitals (7); said process of myocardial infarction (MI) detection includes Post-stent and Post-stent analysis steps: i) Detailed HRV analysis (1); ii) Cardio vascular risk analysis (2); iii) Advanced PPG analysis (3); iv) Non-linear HRV analysis (4); v) Orthostatic homeostasis (5); vi) Chromatography (6); vii) Signal tracing and general vitals (7); said system also uses photoplethysmography technique, heart rate variability and analyses dynamic elasticity score, orthostatic homeostasis test.
In another embodiment of the present invention provides a myocardial infarction (MI) detection system and an associated process comprises pre-stent and post-stent analysis comprising steps of: i) Detailed HRV analysis (1) includes IBI histogram (1A), pNN50% (1B), LF/HF (1C), SD1/SD2 (1D), SpNN50% / SDNN (1E); ii) Cardio vascular risk analysis (2) includes HRV linear analysis (2A); cumulative arterial risk (2B); endothelial dysfunction (2C); iii) Advanced PPG analysis (3) includes graph (3A) and parameters (3B); iv) Non-linear HRV analysis (4) includes ectopic peak value (4A); v) Orthostatic homeostasis (5) includes Time vs HR graph (5A), and Ortho vs Cardio score (5B); vi) Chromatography (6), spectral graph (6A); vii) Signal tracing and general vitals (7) includes Haemodynamics (7A), HR change (7B), Cardiac Score (7C).
In another embodiment of the present invention provides process, which is comprising the steps of: i) analysis of low parasympathetic system; the effect of which reflects high likelihood of MI in case of angina; ii) increase of protein in blood, the variation of which in blood is using photo-chromatography analysis; iii) vascular dynamics, wherein physiological vascular snapshot of vascular network called Dynamic Elasticity Score; iv) ST segment change v) improper left ventricular afterload (LVA); vi) Heart Rate Variability are used to detect snapshot of the current physiology.
In another embodiment of the present invention provides system analyses the case of ST segment deviation, either elevation or depression for the detection of abnormalities.
In another embodiment of the present invention provides clinician to detect subclinical Atherosclerosis, Endothelial Dysfunction, sinus and non-sinus arrhythmia.
In another embodiment of the present invention provides system, which checks analysis of asymptomatic abnormalities and enable speedy point of care diagnosis of MI with very high accuracy.
In yet another embodiment of the present invention provides pre-stent: (case study) includes steps of: a. IBI histogram has peaks - cardiac event; b. pNN50% too low - chest pain, cardiac event; c. SNS-PNS abnormality; d. Blockage of arteries and low vascular elasticity; e. Uneven fork distribution - cardiac event; f. Baro-receptor functioning hindered; g. Overall low hemodynamic - cardiovascular system affected; h. Ectopic peak high - lipid accumulation; i. Spectrum merging; increase in green suggests troponin in blood; high chance of cardiac event; j. overall low health score; immediate action needed;
Still another embodiment of the present invention provides post-stent: (case study) includes steps of: a. IBI histogram has even distribution; b. pNN50% normal; c. SNS - PNS normal; d. No vascular blockage and risk of any happening low; e. Even fork spreak but not parameters are red; f. Baro-receptor functioning normally; g. Overall good hemodynamic; h. Ectopic peak normal; i. Segmented spectrum with no spread of any colour; j. Overall health and current health score is pretty high, shows recovery of patient post stenting.
Still another embodiment of the present invention provides speedy point of care diagnosis of MI with very high accuracy.

Advantages:
• Process of myocardial infarction detection gives important cardiovascular vitals and indicative abnormalities with >96% accuracy.
• It is a non-invasive process for easy orthostatic homeostasis test.
• It enables speedy point of care diagnosis of MI.
• It is capable of providing a physiological vascular snapshot of the vascular network.
• It provides high accuracy.

,CLAIMS:We claim:
1. A myocardial infarction (MI) detection system and an associated process, said system providing a non-invasive test based upon a mobile device, said system comprises myocardial infarction (MI) detection through analysis of arterial pulse from the finger capillary, said system is able to detect subclinical Atherosclerosis, Endothelial dysfunction, sinus and non-sinus arrhythmia, said system providing the same with more than 96 percent accuracy.
2. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system provides a process of myocardial infarction detection that analyses photo reflection at the blood capillary in the finger using a mobile camera and it then extracts pulse and then uses a proven science of Diabetic Cardiovascular Autonomic Neuropathy to estimate the overall health status through a set of easy, static and dynamic tests and proven vitals.
3. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system comprises using photoplethysmography technique to detect heart rate variability, non-invasive Arterial pulse, Orthostatic Homeostasis, non-invasive functional blood biochemistry and combining them into a suitable cardiovascular risk assessment profile.
4. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system is able to provide these results within 5 minutes of time.
5. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system includes detailed HRV analysis (1), cardio vascular risk analysis (2), advanced PPG analysis (3); non-linear HRV analysis (4); orthostatic homeostasis (5); chromatography (6); signal tracing and general vitals (7); said process of myocardial infarction (MI) detection includes Post-stent and Post-stent analysis steps: i) Detailed HRV analysis (1); ii) Cardio vascular risk analysis (2); iii) Advanced PPG analysis (3); iv) Non-linear HRV analysis (4); v) Orthostatic homeostasis (5); vi) Chromatography (6); vii) Signal tracing and general vitals (7); said system also uses photoplethysmography technique, heart rate variability and analyses dynamic elasticity score, orthostatic homeostasis test.
6. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said pre-stent and post-stent analysis is comprising the steps of: i) Detailed HRV analysis (1) includes IBI histogram (1A), pNN50% (1B), LF/HF (1C), SD1/SD2 (1D), SpNN50% / SDNN (1E); ii) Cardio vascular risk analysis (2) includes HRV linear analysis (2A); cumulative arterial risk (2B); endothelial dysfunction (2C); iii) Advanced PPG analysis (3) includes graph (3A) and parameters (3B); iv) Non-linear HRV analysis (4) includes ectopic peak value (4A); v) Orthostatic homeostasis (5) includes Time vs HR graph (5A), and Ortho vs Cardio score (5B); vi) Chromatography (6), spectral graph (6A); vii) Signal tracing and general vitals (7) includes Haemodynamic (7A), HR change (7B), and Cardiac Score (7C).
7. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said process is comprising the steps of: i) analysis of low parasympathetic system; the effect of which reflects high likelihood of MI in case of angina; ii) increase of protein in blood, the variation of which in blood is using photo-chromatography analysis; iii) vascular dynamics, wherein physiological vascular snapshot of vascular network called Dynamic Elasticity Score; iv) ST segment change v) improper left ventricular afterload (LVA); vi) Heart Rate Variability are used to detect snapshot of the current physiology.
8. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system (10) analyses the case of ST segment deviation, either elevation or depression for the detection of abnormalities.
9. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system (10) helps clinician to detect subclinical Atherosclerosis, Endothelial Dysfunction, sinus and non-sinus arrhythmia.
10. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system (10) checks analysis of asymptomatic abnormalities and enable speedy point of care diagnosis of MI with very high accuracy.
11. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said detailed HRV analysis (1) includes steps of:
i) Check IBI histogram -> are skyscrapping outliers present;
• If yes likehood of cardiac event.
ii) Check pNN50% LF/HF and SD1/SD2 :
• pNN50% < 10% or in red;
i. It may be potential tumor, HIV, chest pain or
ii. Chek SNS-PNS Pie chart.
• SD1/SD2 >3.5; it may potential anxiousness.
• LF/HF <1; it may Potential stress.
• LF/HF, SD1/SD2 and pNN50/SDNN are in similar range
iii) Check SNS-PNS Pie chart:
• is stress region in red?
i. Further explore reasons for high stress with patient.
• Is SNS not similar to PNS?
i. SNS-PNS imbalance detected. ANS affected.
iv) Check vascular risk analysis graphs.
12. The myocardial infarction (MI) detection system and the associated process as claimed in claim 1, wherein said system and process enable speedy point of care diagnosis of MI with very high accuracy.