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INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056
VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2110
Detection of Asthma and Diabetes from Patient Breath
J. Vijaya Lakshmi1, S. Lakshmi Priya 2, S. Preethi3 and A. Divya 4
1,2,3Final Year Students, Department of Biomedical Engineering, Alpha College of Engineering, Chennai,
Tamil Nadu, India.
4Assistant Professor, Department of Biomedical Engineering, Alpha College of Engineering, Chennai,
Tamil Nadu, India.
---------------------------------------------------------------------------***----------------------------------------------------------------------
Abstract—The main purpose is to identify the diseases of
people by using the breath Analysis. Breath analysis is an
easier, more accurate and viable method in providing
clinical care for the disease. It is a less time & low cost
technique to indicate the disease. Human breath analysis
offers a non- invasive and rapid method for detecting
various volatile organic compounds that are indicators for
different diseases. Each disease has a specific biomarker to
identify the disease such as nitrous oxide for asthma, acetone
for diabetes, ammonia for renal disease, sulphides for liver
disease, etc.. Here, the exhalation of Breath is collected & it is
detected using gas sensor. This defines the level of gas,
indicates the type of disease and help the individual to
monitor their disease with cheap and simple device.
Keywords - breath analysis, biomarker, gas, acetone,
nitrous oxide, asthma, diabetes.
Abbreviations – VOC( Volatile Organic Compounds),
BGL(Blood Glucose Level), LCD(Liquid Crystal Display),
IoMT(Internet of Medidcal Things), NO(Nitrous Oxide).
1.INTRODUCTION
The Asthma and Diabetes are the most common disease
found in the old age people. Breath analysis is a non-
invasive, pain free and cheap technique. Breath is the
collection of highly complicated molecular matrix, the
composition of nitrogen, carbon dioxide, oxygen, and water
have very high percentage, which is present in our breath.
Some volatile compounds are the indicators of diseases in
the human. Exhaled breath analysis is a method in
medicine for gaining information on the clinical state of an
individual by monitoring the components present in the
exhaled breath. Identification and quantification of
potential disease biomarkers can be seen as the driving
force for the analysis of exhaled breath .Patient with
asthma have increase the level of nitric oxide in their
breath, patient with renal diseases have ammonia, patient
with liver diseases have sulphides in their breath, patient
with diabetes have acetone in their breath, patient with
cirrhosis diseases have aliphatic acid, patient with kidney
failure have dimethyl amine and trimethyl amine in their
breath and patient with lung cancer have substances like
aldehydes, alkanes and derivatives of benzene in their
breath. The breath odour exhaled from human body in the
form of volatile organic compounds which can be detect
and analyse by many methods like Gas chromatography
and many other method for volatile organic compounds
detection.
Diabetes can be described as a group of metabolic diseases
where the blood-glucose level in the body is higher than
the normal prescribed parameter. When a person suffers
from diabetes, it is seen that their body is either unable to
secrete enough insulin or their body is not able to use the
insulin produced by the liver. This causes sugar to build-up
in the blood thus leading to diabetes[4]. Investigations
show that urine, sweat, saliva, tears and breath contain
traces of glucose in them, and these traces vary with the
levels of glucose in the blood. Therefore, these human
serums have recently gained recognition as feasible
alternatives to using blood for glucose measurement.
Extensive research conducted in this area concludes that
human breath is a good alternative to monitor and
diagnose glucose levels as acetone in the breath has shown
a good correlation to BGL. It is seen that in the human
breath, there are numbers of chemical compounds that
relate to different diseases Traces of acetone in the breath
are used for the detection of diabetes.
Asthma is one of the most prevalent and costly chronic
conditions[9]. It is one of the complicated state of
respiratory disease which is harmful and risk in many of
the people life. It cannot be cured but it can be prevented
when it is treated before using the nebulizer at times. A
condition in which a person's airways become inflamed,
narrow and swell and produce extra mucus, which makes
it difficult to breath. A common lung disorder in which
inflammation causes the bronchi to swell and narrow the
airways, creating breathing difficulties that may range
from mild to life-threatening. In the breath analysis gas is
the specific biomarker to detect each and every disease as
mentioned before. Nitrous oxide is the biomarker for the
Asthma.
1.1 NEED OF THE PROJECT
(1)This project is used to identify the most common
disease like asthma and diabetes by patients breath. (2) It
is a non-invasive, cheap and a effective method. (3) It can
also easily intimate the doctor in emergency situation. It
overcomes the disadvantages in available device.
1.2 OBJECTIVE
To analyse the exhalation of gas from breath. To
correlate different gases with diseases,
INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056
VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2111
1.Nitrous oxide – Asthma
2.Acetone – Diabetes
2. MATERIALS AND METHODS
The detection of asthma and diabetes is mainly based on
the sensor which is being used. The block diagram clearly
shows how the device works.
Figure:1 Block Diagram of detection of Asthma and
Detection using Patient Breath Analysis
A. Arduino Atmega328P
The Arduino used in our project is used for the
hardware and software connectivity. It is based on the
Atmega328P microcontroller in the device with 14 digital
pins, 8 analog pins, 2 reset pins and 6 power pins which is
interfaced with MPU6050 sensor. It is basically used for
multiple I/O interfaces.. It is used in real time biometrics
and robotic applications. We use it for the real time
prediction and also for the sensing value conversion along
with the embedded C language.
B. RFID Reader
A Radio Frequency Identification Reader (RFID reader)
is a device used to gather information from an RFID tag. It is
used here to capture the patient details when the breath is
being given as a input for the sensor. It contains the details
of the patient like name, age, address, phone number, etc..,
which is to be programmed in the device.
C. Sensor
Acetone gas sensor and Nitrous oxide sensor are used as a
biomarker for the Diabetes and Asthma respectively. The
sensor plays a major role to take the input as a breath. it
detects the biomarker with the prescribed level which is to
be measured to know the level of gas in the breath. The
sensor output values can be get by means of both analog
and digital.
D. Mask
The mask is inbuilt with acetone and nitrous oxide sensor
for the detection of the gas in the breath. The Mask helps to
avoid some of the atmospheric gases to avoid the error
level.
E. IoT Module
IoT is the machine to machine communication as it is used
in the medical field it is called as IoMT. By using it, on time
prediction is possible and information is delivered to the
doctor or the care taker who is looking towards the
patient. It saves money as well as the time for the people.
F. Data Analysis
The gas in the breath is analyzed along with their level in
the normal human and diseased human. For the normal
people the range of the gas is minimum and for the
diseased case it reaches the beyond level to confirm the
severity of the disease.
G. Range
Each biomarker specifies each disease with a particular
gas. Our breath is a mixture of different gases with a
composition. When the gas exceeds the normal level it is
considered as diseased level and goes on indicates the
severity.
Acetone Range[4],[9],
Normal level = 0.2-0.7ppm
Diseased level= 1.7-3.7
Nitrous Oxide Range[5][11],
Normal Level = 20 -25 ppb
Diseased Level = above 25ppb
2.1 METHODS
Now the techniques used in the medical field is invasive,
pain full and costly. When a new evolution of non-invasive,
pain free and cheap technique is introduced, it will be
highly helpful for the people. At first the mask is placed in
the patient nose and mouth and breath is collected for 20
to 30 seconds. Sensor placed in the mask mouthpiece sense
the type of the gas and denotes the level by using the
Arduino and it is displayed in the LCD (Liquid Crystal
Display). Here we use IoT for the on time prediction and by
using the IoT web page it is easy to see the details of the
patient who all undergone the treatment. As blood test is
mostly considered for the detecting the disease, this breath
analysis is highly helpful and needed technique for our
generation. The results are predicted then and there itself.
It is a efficient and valuable technique.
INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056
VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2112
3. RESULTS AND DISSCUSSION
As the below flowchart explains the condition of the
normal and abnormal state of the disease. It indicates the
range as mention in the methods and methodology.
According to the studies, it is seen that patients who have
diabetes have body cells that are unable to absorb the
glucose in blood. In such cases, when the liver breaks down
fat for energy, there occurs an abnormal increase in ketone
bodies in the patient’s blood. Acetone is one of the three
kinds of ketone bodies, which are volatile, and the body
exhales the acetone thus formed. Therefore, higher
concentration of acetone is found in the exhaled air of a
diabetic patient.[4] In the same way, the main objective of
this technique to interpret the accuracy with which using
simple parameters to identify the asthma among the
general population along with the diabetes.[5] In asthma,
the fraction of exhaled nitric oxide (NO) is increased and
the use of noninvasive monitoring in asthma as well as in
other respiratory diseases The Nitrous Oxide is normally
related as a biomarker for lung disease and especially for
Asthma[14].
Breath analysis has great potential for disease detection,
therapeutic monitoring, determination of the phenotype of
enzyme activity for personalized medicine, detection of
pulmonary or gastric bacterial infection. Monitoring of
exhaled breath is one of the most noninvasive screening
techniques for early diagnosis; however, this method is
limited by insufficient accuracy, as many VOCs are present
in the exhaled breath at very low concentrations (ppb
level)
Figure 2: The range of Diabetes and Asthma
4. CONCLUSION
The Acetone level and Nitrous Oxide level in the breath
denotes the level and severity of the disease which can be
previously determined. This is non-invasive, cheap and
pain free technique to detect the disease. As the technology
developing day by day, new inventions are evolving
around us. In the Medical Field, the detection of disease
using the breath will be highly helpful for the people. This
is more useful for the old aged people as they have both
the disease which is easy to interpret their disease. Hence,
we thought our technique will be easy, cheap, non-invasive
and helpful to everyone.
4.1 FUTURE SCOPE
In Future it can be done for other diseases. When it
developed for various diseases using the biomarkers then
all the diagnostic techniques will be non-invasive, cheap
and pain free. Because breath analysis is a valuable
technique which is highly helpful for our generations.
Common diseases can be find out, and it can be join
together to test and detect the disease.
REFERENCES
[1] Survey of Artificial Electronic Nose to Detect the
[2] Diseases of Human Parveen Khan, Dr. Surendra
Kumar Yadav, INTERNATIONAL JOURNAL FOR
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INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056
VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2113
[13] Sensors for detecting pulmonary diseases from
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[19] D. Caudri, A. Wijga, C. M. A. Schipper, M. Hoekstra,
D. S. Postma, G. H. Koppelman, B. Brunekreef, H. A.
Smit, and J. C. de Jongste, “Predicting the long-term
prognosis of children with symptoms suggestive of
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vol. 124, no. 5, pp. 903–910, 2009.
[20] R. F. Machado, D. Laskowski, O. Deffenderfer, T.
Burch, S. Zheng, P. J. Mazzone, T. Mekhail, C.
Jennings, J. K. Stoller, J. Pyle, J. Duncan, R. A. Dweik
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Foggs, S. Janson, et al., “Expert panel report
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[22] A. Sheffer, J. Bousquet, W. Busse, T. Clark, R. Dahl,
D. Evans, L. Fabbri, F. Hargreave, S. Holgate, H.
Magnussen, et al., “International consensus report
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[23] F. Martinez, “Recognizing early asthma,” Allergy,
vol. 54, no. s49, pp. 24–28, 1999.
[24] P. F. Adams and M. A. Marano, “Current estimates
from the national health interview survey, 1994.,”
Vital Health Stat 10, Data from the National Health
Survey, no. 193 Pt 1, p. 1, 1995.
[25] C. M. Ionescu, “The human respiratory system,” in
The Human Respiratory System, pp. 1322,
Springer, 2013.
[26] R. Kurukulaaratchy, S. Matthews, S. Holgate, and S.
Arshad, “Predicting persistent disease among
children who wheeze during early life,” Eur Resp J,
vol. 22, no. 5, pp. 767–771, 2003.
[27] D. Caudri, A. Wijga, C. M. A. Schipper, M. Hoekstra,
D. S. Postma, G. H. Koppelman, B. Brunekreef, H. A.
Smit, and J. C. de Jongste, “Predicting the long-term
prognosis of children with symptoms suggestive of
asthma at preschool age,” J Allergy Clin Immunol,
vol. 124, no. 5, pp. 903–910, 2009.
[28] M. Kaliner, J. H. Shelhamer, P. B. Davis, L. J. Smith,
and J. C. Venter, “Autonomic nervous system
abnormalities and allergy,” Ann Intern Med, vol.
96, no. 3, pp. 349–357, 1982.
BIOGRAPHIES
Vijaya Lakshmi. J pursuing Biomedical
Engineering in Alpha college of
Engineering, Thirumazhisai.
Lakshmi Priya. S pursuing
Biomedical Engineering in Alpha
college of Engineering,
Thirumazhisai.
Preethi. S pursuing
Biomedical Engineering in
Alpha college of Engineering,
Thirumazhisai.
Mrs. Divya. A (Project Guide)
Assistant Professor in Alpha
College of Engineering,
Thirumazhisai.

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OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 

IRJET- Detection of Asthma and Diabetes from Patient Breath

  • 1. INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2110 Detection of Asthma and Diabetes from Patient Breath J. Vijaya Lakshmi1, S. Lakshmi Priya 2, S. Preethi3 and A. Divya 4 1,2,3Final Year Students, Department of Biomedical Engineering, Alpha College of Engineering, Chennai, Tamil Nadu, India. 4Assistant Professor, Department of Biomedical Engineering, Alpha College of Engineering, Chennai, Tamil Nadu, India. ---------------------------------------------------------------------------***---------------------------------------------------------------------- Abstract—The main purpose is to identify the diseases of people by using the breath Analysis. Breath analysis is an easier, more accurate and viable method in providing clinical care for the disease. It is a less time & low cost technique to indicate the disease. Human breath analysis offers a non- invasive and rapid method for detecting various volatile organic compounds that are indicators for different diseases. Each disease has a specific biomarker to identify the disease such as nitrous oxide for asthma, acetone for diabetes, ammonia for renal disease, sulphides for liver disease, etc.. Here, the exhalation of Breath is collected & it is detected using gas sensor. This defines the level of gas, indicates the type of disease and help the individual to monitor their disease with cheap and simple device. Keywords - breath analysis, biomarker, gas, acetone, nitrous oxide, asthma, diabetes. Abbreviations – VOC( Volatile Organic Compounds), BGL(Blood Glucose Level), LCD(Liquid Crystal Display), IoMT(Internet of Medidcal Things), NO(Nitrous Oxide). 1.INTRODUCTION The Asthma and Diabetes are the most common disease found in the old age people. Breath analysis is a non- invasive, pain free and cheap technique. Breath is the collection of highly complicated molecular matrix, the composition of nitrogen, carbon dioxide, oxygen, and water have very high percentage, which is present in our breath. Some volatile compounds are the indicators of diseases in the human. Exhaled breath analysis is a method in medicine for gaining information on the clinical state of an individual by monitoring the components present in the exhaled breath. Identification and quantification of potential disease biomarkers can be seen as the driving force for the analysis of exhaled breath .Patient with asthma have increase the level of nitric oxide in their breath, patient with renal diseases have ammonia, patient with liver diseases have sulphides in their breath, patient with diabetes have acetone in their breath, patient with cirrhosis diseases have aliphatic acid, patient with kidney failure have dimethyl amine and trimethyl amine in their breath and patient with lung cancer have substances like aldehydes, alkanes and derivatives of benzene in their breath. The breath odour exhaled from human body in the form of volatile organic compounds which can be detect and analyse by many methods like Gas chromatography and many other method for volatile organic compounds detection. Diabetes can be described as a group of metabolic diseases where the blood-glucose level in the body is higher than the normal prescribed parameter. When a person suffers from diabetes, it is seen that their body is either unable to secrete enough insulin or their body is not able to use the insulin produced by the liver. This causes sugar to build-up in the blood thus leading to diabetes[4]. Investigations show that urine, sweat, saliva, tears and breath contain traces of glucose in them, and these traces vary with the levels of glucose in the blood. Therefore, these human serums have recently gained recognition as feasible alternatives to using blood for glucose measurement. Extensive research conducted in this area concludes that human breath is a good alternative to monitor and diagnose glucose levels as acetone in the breath has shown a good correlation to BGL. It is seen that in the human breath, there are numbers of chemical compounds that relate to different diseases Traces of acetone in the breath are used for the detection of diabetes. Asthma is one of the most prevalent and costly chronic conditions[9]. It is one of the complicated state of respiratory disease which is harmful and risk in many of the people life. It cannot be cured but it can be prevented when it is treated before using the nebulizer at times. A condition in which a person's airways become inflamed, narrow and swell and produce extra mucus, which makes it difficult to breath. A common lung disorder in which inflammation causes the bronchi to swell and narrow the airways, creating breathing difficulties that may range from mild to life-threatening. In the breath analysis gas is the specific biomarker to detect each and every disease as mentioned before. Nitrous oxide is the biomarker for the Asthma. 1.1 NEED OF THE PROJECT (1)This project is used to identify the most common disease like asthma and diabetes by patients breath. (2) It is a non-invasive, cheap and a effective method. (3) It can also easily intimate the doctor in emergency situation. It overcomes the disadvantages in available device. 1.2 OBJECTIVE To analyse the exhalation of gas from breath. To correlate different gases with diseases,
  • 2. INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2111 1.Nitrous oxide – Asthma 2.Acetone – Diabetes 2. MATERIALS AND METHODS The detection of asthma and diabetes is mainly based on the sensor which is being used. The block diagram clearly shows how the device works. Figure:1 Block Diagram of detection of Asthma and Detection using Patient Breath Analysis A. Arduino Atmega328P The Arduino used in our project is used for the hardware and software connectivity. It is based on the Atmega328P microcontroller in the device with 14 digital pins, 8 analog pins, 2 reset pins and 6 power pins which is interfaced with MPU6050 sensor. It is basically used for multiple I/O interfaces.. It is used in real time biometrics and robotic applications. We use it for the real time prediction and also for the sensing value conversion along with the embedded C language. B. RFID Reader A Radio Frequency Identification Reader (RFID reader) is a device used to gather information from an RFID tag. It is used here to capture the patient details when the breath is being given as a input for the sensor. It contains the details of the patient like name, age, address, phone number, etc.., which is to be programmed in the device. C. Sensor Acetone gas sensor and Nitrous oxide sensor are used as a biomarker for the Diabetes and Asthma respectively. The sensor plays a major role to take the input as a breath. it detects the biomarker with the prescribed level which is to be measured to know the level of gas in the breath. The sensor output values can be get by means of both analog and digital. D. Mask The mask is inbuilt with acetone and nitrous oxide sensor for the detection of the gas in the breath. The Mask helps to avoid some of the atmospheric gases to avoid the error level. E. IoT Module IoT is the machine to machine communication as it is used in the medical field it is called as IoMT. By using it, on time prediction is possible and information is delivered to the doctor or the care taker who is looking towards the patient. It saves money as well as the time for the people. F. Data Analysis The gas in the breath is analyzed along with their level in the normal human and diseased human. For the normal people the range of the gas is minimum and for the diseased case it reaches the beyond level to confirm the severity of the disease. G. Range Each biomarker specifies each disease with a particular gas. Our breath is a mixture of different gases with a composition. When the gas exceeds the normal level it is considered as diseased level and goes on indicates the severity. Acetone Range[4],[9], Normal level = 0.2-0.7ppm Diseased level= 1.7-3.7 Nitrous Oxide Range[5][11], Normal Level = 20 -25 ppb Diseased Level = above 25ppb 2.1 METHODS Now the techniques used in the medical field is invasive, pain full and costly. When a new evolution of non-invasive, pain free and cheap technique is introduced, it will be highly helpful for the people. At first the mask is placed in the patient nose and mouth and breath is collected for 20 to 30 seconds. Sensor placed in the mask mouthpiece sense the type of the gas and denotes the level by using the Arduino and it is displayed in the LCD (Liquid Crystal Display). Here we use IoT for the on time prediction and by using the IoT web page it is easy to see the details of the patient who all undergone the treatment. As blood test is mostly considered for the detecting the disease, this breath analysis is highly helpful and needed technique for our generation. The results are predicted then and there itself. It is a efficient and valuable technique.
  • 3. INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2112 3. RESULTS AND DISSCUSSION As the below flowchart explains the condition of the normal and abnormal state of the disease. It indicates the range as mention in the methods and methodology. According to the studies, it is seen that patients who have diabetes have body cells that are unable to absorb the glucose in blood. In such cases, when the liver breaks down fat for energy, there occurs an abnormal increase in ketone bodies in the patient’s blood. Acetone is one of the three kinds of ketone bodies, which are volatile, and the body exhales the acetone thus formed. Therefore, higher concentration of acetone is found in the exhaled air of a diabetic patient.[4] In the same way, the main objective of this technique to interpret the accuracy with which using simple parameters to identify the asthma among the general population along with the diabetes.[5] In asthma, the fraction of exhaled nitric oxide (NO) is increased and the use of noninvasive monitoring in asthma as well as in other respiratory diseases The Nitrous Oxide is normally related as a biomarker for lung disease and especially for Asthma[14]. Breath analysis has great potential for disease detection, therapeutic monitoring, determination of the phenotype of enzyme activity for personalized medicine, detection of pulmonary or gastric bacterial infection. Monitoring of exhaled breath is one of the most noninvasive screening techniques for early diagnosis; however, this method is limited by insufficient accuracy, as many VOCs are present in the exhaled breath at very low concentrations (ppb level) Figure 2: The range of Diabetes and Asthma 4. CONCLUSION The Acetone level and Nitrous Oxide level in the breath denotes the level and severity of the disease which can be previously determined. This is non-invasive, cheap and pain free technique to detect the disease. As the technology developing day by day, new inventions are evolving around us. In the Medical Field, the detection of disease using the breath will be highly helpful for the people. This is more useful for the old aged people as they have both the disease which is easy to interpret their disease. Hence, we thought our technique will be easy, cheap, non-invasive and helpful to everyone. 4.1 FUTURE SCOPE In Future it can be done for other diseases. When it developed for various diseases using the biomarkers then all the diagnostic techniques will be non-invasive, cheap and pain free. Because breath analysis is a valuable technique which is highly helpful for our generations. Common diseases can be find out, and it can be join together to test and detect the disease. REFERENCES [1] Survey of Artificial Electronic Nose to Detect the [2] Diseases of Human Parveen Khan, Dr. Surendra Kumar Yadav, INTERNATIONAL JOURNAL FOR RESEARCH IN AP PLIED SCIENCE AND ENGINEERING TECHNOLOGY 2014 [3] IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 19, NO. 4, JULY 2015 [4] Predicting Asthma-Related Emergency Department Visits Using Big Data Sudha Ram, Member, IEEE, Wenli Zhang, Max Williams, and Yolande Pengetnze [5] Methods of NO detection in exhaled Breath, S M Cristescu1, J Mandon1, F J M Harren1, P Meril¨ainen2 and M H¨ogman2,3, J. Breath Res. 7 (2013) 017104 [6] Non – invasive technique using breath analysis for detection and classification of diabetes S. Lekha, M. Suchetra, International Journal of Engineering and Technology. [7] F. Martinez, “Recognizing early asthma,” Allergy, vol. 54, no. s49, pp. 24–28, 1999. [8] P. F. Adams and M. A. Marano, “Current estimates from the national health interview survey, 1994.,” Vital Health Stat 10, Data from the National Health Survey, no. 193 Pt 1, p. 1, 1995. [9] Analysis of Exhaled Breath for Disease Detection Anton Amann,1,2,∗ Wolfram Miekisch,3 Jochen Schubert,3 Bogusław Buszewski,4 Tomasz Ligor,4 Tadeusz Jezierski,5 Joachim Pleil,6 and Terence Risby7,2014. [10] C. M. Ionescu, “The human respiratory system,” in The Human Respiratory System, pp. 13–22, Springer, 2013. [11] Big Data and mHealth Drive Asthma Self- Management Quan Do, MS and Son Tran, PhD Kris Robinson, PhD School of Nursing 2015 International Conference on Computational Science and Computational Intelligence. [12] A Sub-ppm Acetone Gas Sensor for Diabetes Detection Using 10 nm Thick Ultrathin InN FETs Kun-Wei Kao 1, Ming-Che Hsu 2, Yuh-Hwa Chang 1, Shangjr Gwo 3 Sensors 2012. 0 3 6 9 12 15 18 21 24 27 30 Acetone(ppm) Nitrous Oxide(ppb) Normal Diseased
  • 4. INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) E-ISSN: 2395-0056 VOLUME: 07 ISSUE: 03 | MAR 2020 WWW.IRJET.NET P-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2113 [13] Sensors for detecting pulmonary diseases from exhaled breath Dina Hashoul and Hossam Haick, Eur Respir Rev 2019; [14] Sensors for detecting pulmonary diseases from exhaled breath, Dina Hashoul and Hossam Haick,2019 [15] L. Agertoft and S. Pedersen, “Effects of long-term treatment with an inhaled corticosteroid on growth and pulmonary function in asthmatic children,” Respir Med, vol. 88, no. 5, pp. 373–381, 1994. [16] J. FitzGerald, E. Bateman, L. Boulet, A. Cruz, T. Haahtela, M. Levy, P. O. Byrne, P. Paggiaro, S. Pedersen, M. Soto-Quiroz, et al., “Global strategy for asthma management and prevention. 2015,” Global Initiative for Asthma, 2015. [17] J. A. Castro-Rodr´ıguez, C. J. Holberg, A. L. Wright, and F. D. Martinez, “A clinical index to define risk of asthma in young children with recurrent wheezing,” Am J Respir Crit Care Med, vol. 162, no. 4, pp. 1403–1406, 2000. [18] R. Kurukulaaratchy, S. Matthews, S. Holgate, and S. Arshad, “Predicting persistent disease among children who wheeze during early life,” Eur Resp J, vol. 22, no. 5, pp. 767–771, 2003. [19] D. Caudri, A. Wijga, C. M. A. Schipper, M. Hoekstra, D. S. Postma, G. H. Koppelman, B. Brunekreef, H. A. Smit, and J. C. de Jongste, “Predicting the long-term prognosis of children with symptoms suggestive of asthma at preschool age,” J Allergy Clin Immunol, vol. 124, no. 5, pp. 903–910, 2009. [20] R. F. Machado, D. Laskowski, O. Deffenderfer, T. Burch, S. Zheng, P. J. Mazzone, T. Mekhail, C. Jennings, J. K. Stoller, J. Pyle, J. Duncan, R. A. Dweik and S. C. Erzurum, “Detection of lung cancer by sensor array analyses of exhaled breath,” American Journal of Respiratory and critical care medicine, vol. 171, pp. 1286-1291, 2005. [21] W. Busse, H. Boushey, C. Camargo, D. Evans, M. Foggs, S. Janson, et al., “Expert panel report Guidelines for the diagnosis and management of asthma,” Washington, DC: US department of Health and Human Services, National Heart Lung and Blood Institute, pp. 1–417, 2007. [22] A. Sheffer, J. Bousquet, W. Busse, T. Clark, R. Dahl, D. Evans, L. Fabbri, F. Hargreave, S. Holgate, H. Magnussen, et al., “International consensus report on diagnosis and treatment of asthma.,” Eur Resp J, vol. 5, no. 5, pp. 601–641, 1992. [23] F. Martinez, “Recognizing early asthma,” Allergy, vol. 54, no. s49, pp. 24–28, 1999. [24] P. F. Adams and M. A. Marano, “Current estimates from the national health interview survey, 1994.,” Vital Health Stat 10, Data from the National Health Survey, no. 193 Pt 1, p. 1, 1995. [25] C. M. Ionescu, “The human respiratory system,” in The Human Respiratory System, pp. 1322, Springer, 2013. [26] R. Kurukulaaratchy, S. Matthews, S. Holgate, and S. Arshad, “Predicting persistent disease among children who wheeze during early life,” Eur Resp J, vol. 22, no. 5, pp. 767–771, 2003. [27] D. Caudri, A. Wijga, C. M. A. Schipper, M. Hoekstra, D. S. Postma, G. H. Koppelman, B. Brunekreef, H. A. Smit, and J. C. de Jongste, “Predicting the long-term prognosis of children with symptoms suggestive of asthma at preschool age,” J Allergy Clin Immunol, vol. 124, no. 5, pp. 903–910, 2009. [28] M. Kaliner, J. H. Shelhamer, P. B. Davis, L. J. Smith, and J. C. Venter, “Autonomic nervous system abnormalities and allergy,” Ann Intern Med, vol. 96, no. 3, pp. 349–357, 1982. BIOGRAPHIES Vijaya Lakshmi. J pursuing Biomedical Engineering in Alpha college of Engineering, Thirumazhisai. Lakshmi Priya. S pursuing Biomedical Engineering in Alpha college of Engineering, Thirumazhisai. Preethi. S pursuing Biomedical Engineering in Alpha college of Engineering, Thirumazhisai. Mrs. Divya. A (Project Guide) Assistant Professor in Alpha College of Engineering, Thirumazhisai.