Authors :
Rajesh Sudi; Skanda A Sugam; Abhishek Bharadwaj; Srivatsa R; Harshavardhan HP
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3dq7jjK
DOI :
https://doi.org/10.5281/zenodo.6982383
Abstract :
In this modern era, lifestyle-related illnesses
have become increasingly common and the need for
technology that makes diagnosing them easier and faster is
growing. Respiratory analysis is the most promising field
for research that has the potential to diagnose volatile
organic compounds (VOCs) and its focus on the
respiratory tract and has the potential to detect and
monitor disease progression. Regarding the diagnosis of
diabetes mellitus, glucose levels are calculated in the most
painful, time-consuming, and aggressive manner which is
why there has always been an urgent need for the
development of a non-invasive, sensitive sensory system.
Acetone is one of the effective biomarkers of glucose level
but also appears to be a fast, flexible alternative to normal
blood sugar levels. In response, we have developed a model
of a portable non-invasive tool that explores the ability to
analyze the respiratory signal as a means of monitoring
glucose saturation with the help of a sensor for Acetone
through which the effects will be realistic.
About 11% of Body cholesterol was present in the skin and
evenly to the percentage found in the blood. This study
focuses on simplicity and uncommon ways to measure
cholesterol. Near Infrared (NIR) is a long light when the
wavelength of the wave passes 700nm-1400nm from visible
light in the electromagnetic spectrum. Non-invasive blood
analysis methods were presented when the blood was lit in
several different waves selected in the NIR spectrum,
based on information obtained from analysis of skin parts
using a simple test. The intensity of light reflected or
transmitted at such wavelengths was measured.
Keywords :
Diabetes Mellitus, Breath Analysis, Volatile Organic Compounds, Blood Cholesterol, Non Invasive, Near Infrared
In this modern era, lifestyle-related illnesses
have become increasingly common and the need for
technology that makes diagnosing them easier and faster is
growing. Respiratory analysis is the most promising field
for research that has the potential to diagnose volatile
organic compounds (VOCs) and its focus on the
respiratory tract and has the potential to detect and
monitor disease progression. Regarding the diagnosis of
diabetes mellitus, glucose levels are calculated in the most
painful, time-consuming, and aggressive manner which is
why there has always been an urgent need for the
development of a non-invasive, sensitive sensory system.
Acetone is one of the effective biomarkers of glucose level
but also appears to be a fast, flexible alternative to normal
blood sugar levels. In response, we have developed a model
of a portable non-invasive tool that explores the ability to
analyze the respiratory signal as a means of monitoring
glucose saturation with the help of a sensor for Acetone
through which the effects will be realistic.
About 11% of Body cholesterol was present in the skin and
evenly to the percentage found in the blood. This study
focuses on simplicity and uncommon ways to measure
cholesterol. Near Infrared (NIR) is a long light when the
wavelength of the wave passes 700nm-1400nm from visible
light in the electromagnetic spectrum. Non-invasive blood
analysis methods were presented when the blood was lit in
several different waves selected in the NIR spectrum,
based on information obtained from analysis of skin parts
using a simple test. The intensity of light reflected or
transmitted at such wavelengths was measured.
Keywords :
Diabetes Mellitus, Breath Analysis, Volatile Organic Compounds, Blood Cholesterol, Non Invasive, Near Infrared
