SlideShare a Scribd company logo
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 5, Issue 4 (May. - Jun. 2013), PP 29-33
www.iosrjournals.org
www.iosrjournals.org 29 | Page
Integrated E-Health Approach For Early Detection of Human
Body Disorders in Real-Time
Ms.Renu Ravi1
, Mrs.K.Vanmathi2
1
(PG Scholar (EEE), Hindusthan College of Engineering and Technology, Coimbatore)
2
(Asst.Professor(EEE), Hindusthan College of Engineering and Technology, Coimbatore)
Abstract: Largest ever study of deaths show that heart ailments and respiratory failure have replaced
communicable diseases as the biggest killer in rural and urban areas of the country. Population based studies in
the youth show that the precursors of heart disease start in adolescence. In order to stem the tide of these
diseases, early detection and primary prevention is needed. Early detection and primary prevention starts with
education and awareness that these diseases poses the greatest threat and measures to prevent or reverse this
disease must be taken. Here comes the need for automatic disease detection technique that would aid the
physicians in an early detection of human body abnormalities. Heart rate, respiration and body temperature of
the subjects are collected and testing is done using samples from reference database. All these three parameters
are monitored using different sensors and these measured values are transferred to the PC using ZigBee that
provides wireless transfer of data. As a result the patient health status can be acquired, monitored and
synthesized immediately in a clear and easy way. The simulations are done using LabView software.
Keywords: atherosclerosis, e-Health, low cost approach, monitoring, patient specific health care, wireless
transfer.
I. INTRODUCTION
Due to certain myths and misconceptions, most of the people do not come out in the open to get
themselves diagnosed and treated. In case of people who believe that all these diseases are fatal, contagious,
genetic and that it can’t be treated, death becomes inevitable. Since the population mainly belongs to an
intermediate risk group, conventional risk factors have low predictive power and here comes the necessity for
the integrated e-health approach for early detection of human body disorders. Health care practice supported by
electronic processes and communication, dating back to at least 1999 is termed e-health. In other words it is the
health [1] care practices using the internet.
Early detection is the key to successfully treating most types of disorders. Early disease detection is the
use of screening tests to find health problems before symptoms appear. It can also be defined as diagnostic tests,
medical examinations, and self-examinations to detect a disease or other health problem early in its course.
Early disease detection is made use of due to many reasons. Often, the earlier a disease is diagnosed,
the more sooner it can be cured or successfully handled. Dealing with a disease, especially early in its course,
may lower its impact on our life, prevent or delay serious complications. The tests suggested for early detection
of human body disorders depend on the age, health, and gender. Often, they also depend on the risk factors.
The risk factors may include age, family history, smoking habits etc. When and how often screening tests should
be done may depend on the age, gender, family history, health status, lifestyle, and the cost of testing. Certain
screening times can be scheduled based on expert guidelines. In some cases, testing is also done as part of a
routine checkup. Here body parameters like heart rate, respiration and body temperature are being monitored
using noninvasive techniques. This detection by means of noninvasive techniques for the evaluation of structural
and/or functional parameters could provide a major opportunity in the early diagnosis and prevention of human
body diseases.
Cardiovascular diseases, CVD [2]-[5] is a class of diseases that affects the cardiovascular system and
its associated blood vessels. Most CVDs reflect chronic conditions while some may be acute events such as
heart attacks and strokes. The process of atherosclerosis evolves over decades, and begins as early as childhood.
However, most adolescents are more concerned about other risks such as cancer, HIV and accidents than
cardiovascular disease. The most recent studies show that 1 in 3 people will die from complications attributable
to atherosclerosis. Heart Rate and Heart Rate Variability are important measures that reflect the state of the
cardiovascular system. HRV analysis which is a non invasive measurement has gained prominence in the field
of cardiology for detecting CVDs. Thus CVD detection by means of non invasive evaluation of structural or
functional vascular parameters could provide a major opportunity in the early diagnosis and prevention of
cardiovascular diseases.
Respiration monitoring is one of the most important elements of accessing the physiological state.
Respiration failure can be difficult to predict. In just a few minutes life-threatening conditions can arise. So by
Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time
www.iosrjournals.org 30 | Page
monitoring the chest movement continuous measurement and free access to all vital organs can be done. This
makes possible the measurement of not only the respiratory signal frequency but also the analysis of the
patients’ respiratory cycle. This non invasive evaluation of respiration helps in early diagnosis and prevention of
respiratory accidents with an advantage of providing reliable and accurate information about the extent of
respiratory motion magnitude.
Any abnormalities in human body cause a variation to the normal body temperature. This is one of the
most easily detectable changes that occur initially. As a result body temperature is also measured using different
sensors [6].
II. Block Diagram
Fig.1 Block diagram
Wireless communication systems have been gaining popularity as it provides mobility and
convenience. Development in this technology has given rise to numerous options of data transfer with coverage
ranging from a few meters to thousand kilometers.
Zigbee can be defined as a low cost, low power, wireless mesh network standard. It is used in mesh
network form to transmit data over longer distances. This data is passed through intermediate devices so that it
can reach more distant ones. It is targeted at applications that require a long battery life, secure networking and
low data rate. Zigbee also provides short range wireless transfer of data at relatively low rates. It is simpler and
less expensive than WPANs such as Bluetooth. Another advantage of using Zigbee is that it provides large
network capacity and saves power. RS232 provides connection between a Data Terminal Equipment (DTE) and
a Data Circuit Terminating Equipment (DCE). Is is commonly used in computer serial ports. RS232 can also be
used as a standard for serial binary single-ended data and control signals.
III. Simulation Model
Heart Beat
Fig. 2 Heart beat simulation model
Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time
www.iosrjournals.org 31 | Page
Respiration
Fig. 3 Respiration simulation model
Body Temperature
Fig. 4 Body temperature simulation model
Heart rate, respiration and body temperature of the subjects are monitored using different sensors [6]
and these measured values are transferred to the PC using zigbee that provides wireless [7] transfer of data. As a
result the patient health status can be acquired, monitored and synthesized immediately in a clear and easy way.
The simulation is done using labview.
The normal values for heart rate, respiration and body temperature are earlier fed into the system. The
measured values of the subject’s heart rate, respiration rate and body temperature [8] are then loaded into the
system. All the three parameters including heart rate, respiration rate and body temperature acquired using
different sensors are then tested using samples from the reference database. If the measured value of the subject
differ from the normal value then there will be an indication showing that the parameter of the subject under
analysis is abnormal. Healthy subjects show no difference between calculated and estimated risk values.
Repeatable non-invasive technology is being used for this purpose. Thus detection by means of noninvasive
techniques for the evaluation of structural and/or functional parameters provides a major opportunity in the early
diagnosis and prevention of human body diseases and also improves patient specific diagnosis.
IV. Results And Discussion
Heart Rate
Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time
www.iosrjournals.org 32 | Page
Respiration
Body Temperature
Fig. 5 Simulation results
The signals for heart rate, respiration and body temperature are monitored for further evaluation. The
signal conditioning, classification and user-interface of these recorded signals is implemented in software using
Labview 8.6. The main advantage is that multiple parameters can be monitored at a time. The parameters
including heart rate, respiration and body temperature can be acquired, monitored and immediately synthesized
in a clear and easy way by considering a minimum amount of data. All these provide benefits of patient specific
monitoring and treatment support tools for early detection of human body disorders. More over this can be made
use at our own convenience using computer aided instruction [9-13]. The introduction to wireless connections
to exchange sensor’s data also provides a great flexibility for both patient and medical staff. Moreover low cost
and repeatable noninvasive technology is justified.
V. Conclusion
The main advantage of this paper is the benefit of patient specific monitoring and treatment support
tools for early detection of human body disorders. Its recommendations should not be used as a basis for
delaying, or else as a substitute for, evaluation and treatment by a physician. Leading a healthy lifestyle and also
paying heed to the suggestions of experts is recommended. Higher awareness among people are required in
order to avoid undue advantage of the patient’s desperation. They should be aware that health decisions should
not be based on hope and desperation but should be rational and practical.
The work presented is aimed for the early detection and prevention of human body abnormalities in
real-time.
Acknowledgement
Authors would like to thank all the researchers who have contributed in this field of research. The
comments of anonymous reviewers to improve the quality of this paper are also acknowledged.
Reference
[1] J. M. Wilkinson, “Medical market for Microsystems,” Int. Newsletter Microsyst. MEMS, no. 4/02, p. 37, Sep. 2002.
[2] M. Naghavi, E. Falk, H. S. Hecht, M. J. Jamieson, S. Kaul, D. Berman, Z. Fayad, M. J. Budoff, J. Rumberger, T. Z. Naqvi, L. J.
Shaw, O. Faergeman, J. Cohn, R. Bahr, W. Koenig, J. Demirovic, D. Arking, V. L. Herrera, J. Badimon, J. A. Goldstein, Y. Rudy, J.
Airaksinen, R. S. Schwartz, W. for Heart Attack Prevention and Education (SHAPE) Task Force report,”Am. J. Cardiol., vol. 98, no.
2A, pp. 2H–15H, Jul. 2006.
[3] P. Greenland, J. S. Alpert, G. A. Beller, E. J. Benjamin,M. J. Budoff, Z. A.Fayad, E Foster,M. A. Hlatky, J. M. Hodgson, F. G.
Kushner, M. S. Lauer,L. J. Shaw, S. C. Smith, Jr., A. J.Taylor,W. S.Weintraub, N. K.Wenger, A.K. Jacobs, S. C. Smith, Jr., J. L.
Anderson, N. Albert, C. E. Buller, M. A.Creager, S.M. Ettinger, R. A. Guyton, J. L. Halperin, J. S. Hochman, F. G.Kushner, R.
Nishimura, E. M. Ohman, R. L. Page,W. G.Stevenson, L. G.Tarkington, and C.W.Yancy,“2010ACCF/AHA guideline for
assessmentof cardiovascular risk in asymptomatic adults: Executive Summary,” J.Am. Coll. Cardiol. 14, vol. 56, no. 25, pp. e50–
e103, Dec. 2010.
[4] G. Chironi, A. Simon, J. Megnien, M. Sirieix, E. Mousseaux, F. Pessana,and R. Armentano, “Impact of coronary artery calcium on
cardiovascularrisk categorization and lipid-lowering drug eligibility in asymptomatic hypercholesterolemicmen,” Int. J. Cardiol.,
[Epub ahead of print] PubMedPMID: 20580446, Jun. 2010P.
[5] A. Simon, G. Chironi, and J. Levenson, “Comparative performance of subclinical atherosclerosis tests in predicting coronary heart
disease in asymptomatic individuals,” Eur. Heart J., vol. 28, no. 24, pp. 2967–2971
Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time
www.iosrjournals.org 33 | Page
[6] F. Rahman, A. Kumar, G. Nagendra, and G. Sen Gupta, “Network approach for physiological parameter measurement,” IEEE Trans.
Instrum.Meas., vol. 54, pp. 337–346, Feb. 2005.
[7] N. Hamza, F. Touati, and L. Khriji,“Wireless biomedical system design based on ZigBee technology for autonomous healthcare,” in
Proc. Int. Conf. Commun., Comput., Power (ICCCP’09), Muscat, Feb. 15–18, 2009, pp. 183–188.
[8] R. Lenhardt and D. I. Sessler, “Estimation of mean-body temperature from mean-skin and core temperature,” Anesthesiology, vol.
105, no. 6, pp. 1117–1121, Dec. 2006.
[9] Lyon HC Jr, Healy JC, Bell JR, et al. PlanAnalyzer, an interactive computer-assisted program to teach clinical problem solving in
diagnosing anemia and coronary artery disease.Acad Med. 1992;67: 821–8. CrossRef, PubMed, Web of Science®
[10] U.S. Congress, Office of Technology Assessment. Technology and the American Economic Transition: Choices for the Future.
Washington, DC: U.S. Government Printing Office; May, 1998.
[11] Desch LW, Esquval MT, Anderson SK. Comparison of a computer tutorial with other methods for teaching well newborn care.Am J
Dis Child. 1991;145: 1255–8.PubMed, CAS, Web of Science® Times Cited: 19
[12] Chew FS & Smirniotopoulos JG. Educational efficacy of computer-assisted instruction with interactive videodisc in radiology.Invest
Radiol. 1993;28: 1052–8.CrossRef, PubMed, CAS, Web of Science®
[13] Mitchell JA, Bridges AJ, Reid JC, Cutts JH III, Hazelwood S, Sharp GC. Preliminary evaluation of learning via the
AI/LEARN/Rheumatology interactive videodisc system.Proceedings of the 16th
Annual Symposium on Computer Applications in
Medical Care. Washington, DC: IEEE Society Press; 1992: 169–73.

More Related Content

What's hot

Diagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AIDiagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AI
Dr. C.V. Suresh Babu
 
Biomedical application of wireless sensor 2
Biomedical application of wireless sensor 2 Biomedical application of wireless sensor 2
Biomedical application of wireless sensor 2
johnson oluyemi adu-ajikan
 
A study on “the impact of data analytics in covid 19 health care system”
A study on “the impact of data analytics in covid 19 health care system”A study on “the impact of data analytics in covid 19 health care system”
A study on “the impact of data analytics in covid 19 health care system”
Dr. C.V. Suresh Babu
 
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
IAEME Publication
 
IRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
IRJET- Survey on Risk Estimation of Chronic Disease using Machine LearningIRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
IRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
IRJET Journal
 
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph DWireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
challPHT
 
I017546373
I017546373I017546373
I017546373
IOSR Journals
 
Medical Technology will save our minds and bodies
Medical Technology will save our minds and bodiesMedical Technology will save our minds and bodies
Medical Technology will save our minds and bodies
Ashley Dibley
 
AAFS Conference Thursday 24th February - Aneesa Baig
AAFS Conference Thursday 24th February - Aneesa BaigAAFS Conference Thursday 24th February - Aneesa Baig
AAFS Conference Thursday 24th February - Aneesa Baig
AneesaBaig1
 
Analysing Tuberculosis Trends in South Asia
Analysing Tuberculosis Trends in South Asia  Analysing Tuberculosis Trends in South Asia
Analysing Tuberculosis Trends in South Asia
IJECEIAES
 
Wireless Body Area Networks for Healthcare: A Survey
Wireless Body Area Networks for Healthcare: A SurveyWireless Body Area Networks for Healthcare: A Survey
Wireless Body Area Networks for Healthcare: A Survey
ijasuc
 
Automated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessmentAutomated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessment
I3E Technologies
 
Brain Bonanza 2.2. Breathing rhythms
Brain Bonanza 2.2. Breathing rhythmsBrain Bonanza 2.2. Breathing rhythms
Brain Bonanza 2.2. Breathing rhythms
Eric Serejski
 
Impacts of mobile devices in medical environment
Impacts of mobile devices in medical environmentImpacts of mobile devices in medical environment
Impacts of mobile devices in medical environmentLucas Machado
 
Prevalence of self reported computer vision syndrome and associated factors a...
Prevalence of self reported computer vision syndrome and associated factors a...Prevalence of self reported computer vision syndrome and associated factors a...
Prevalence of self reported computer vision syndrome and associated factors a...
Alexander Decker
 
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
IRJET Journal
 
Telemetry_RESNA draft 1_2-16
Telemetry_RESNA draft 1_2-16Telemetry_RESNA draft 1_2-16
Telemetry_RESNA draft 1_2-16Brendan Raftery
 

What's hot (20)

Diagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AIDiagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AI
 
Biomedical application of wireless sensor 2
Biomedical application of wireless sensor 2 Biomedical application of wireless sensor 2
Biomedical application of wireless sensor 2
 
A study on “the impact of data analytics in covid 19 health care system”
A study on “the impact of data analytics in covid 19 health care system”A study on “the impact of data analytics in covid 19 health care system”
A study on “the impact of data analytics in covid 19 health care system”
 
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
A STUDY OF ELECTROMAGNETIC RADIATION EFFECTS FROM MOBILE PHONE BASE STATIONS ...
 
S1p3 michael repacholi(1)
S1p3 michael repacholi(1)S1p3 michael repacholi(1)
S1p3 michael repacholi(1)
 
IRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
IRJET- Survey on Risk Estimation of Chronic Disease using Machine LearningIRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
IRJET- Survey on Risk Estimation of Chronic Disease using Machine Learning
 
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph DWireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
Wireless Transmission Of Spirometric… By Stephen A. Raymond, Ph D
 
I017546373
I017546373I017546373
I017546373
 
Medical Technology will save our minds and bodies
Medical Technology will save our minds and bodiesMedical Technology will save our minds and bodies
Medical Technology will save our minds and bodies
 
AAFS Conference Thursday 24th February - Aneesa Baig
AAFS Conference Thursday 24th February - Aneesa BaigAAFS Conference Thursday 24th February - Aneesa Baig
AAFS Conference Thursday 24th February - Aneesa Baig
 
Analysing Tuberculosis Trends in South Asia
Analysing Tuberculosis Trends in South Asia  Analysing Tuberculosis Trends in South Asia
Analysing Tuberculosis Trends in South Asia
 
Wireless Body Area Networks for Healthcare: A Survey
Wireless Body Area Networks for Healthcare: A SurveyWireless Body Area Networks for Healthcare: A Survey
Wireless Body Area Networks for Healthcare: A Survey
 
Health Monitoring
Health MonitoringHealth Monitoring
Health Monitoring
 
K health ieeems2015
K health ieeems2015K health ieeems2015
K health ieeems2015
 
Automated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessmentAutomated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessment
 
Brain Bonanza 2.2. Breathing rhythms
Brain Bonanza 2.2. Breathing rhythmsBrain Bonanza 2.2. Breathing rhythms
Brain Bonanza 2.2. Breathing rhythms
 
Impacts of mobile devices in medical environment
Impacts of mobile devices in medical environmentImpacts of mobile devices in medical environment
Impacts of mobile devices in medical environment
 
Prevalence of self reported computer vision syndrome and associated factors a...
Prevalence of self reported computer vision syndrome and associated factors a...Prevalence of self reported computer vision syndrome and associated factors a...
Prevalence of self reported computer vision syndrome and associated factors a...
 
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
IRJET - Digital Assistance: A New Impulse on Stroke Patient Health Care using...
 
Telemetry_RESNA draft 1_2-16
Telemetry_RESNA draft 1_2-16Telemetry_RESNA draft 1_2-16
Telemetry_RESNA draft 1_2-16
 

Viewers also liked

P01243104110
P01243104110P01243104110
P01243104110
IOSR Journals
 
E017662532
E017662532E017662532
E017662532
IOSR Journals
 
K017115359
K017115359K017115359
K017115359
IOSR Journals
 
K0176495101
K0176495101K0176495101
K0176495101
IOSR Journals
 
G017164448
G017164448G017164448
G017164448
IOSR Journals
 
D017511825
D017511825D017511825
D017511825
IOSR Journals
 
H017354756
H017354756H017354756
H017354756
IOSR Journals
 
Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...
IOSR Journals
 
N0172189102
N0172189102N0172189102
N0172189102
IOSR Journals
 
M0947679
M0947679M0947679
M0947679
IOSR Journals
 
Performance Evaluation for Production of 5000kgHydraulic Jack
Performance Evaluation for Production of 5000kgHydraulic JackPerformance Evaluation for Production of 5000kgHydraulic Jack
Performance Evaluation for Production of 5000kgHydraulic Jack
IOSR Journals
 
K1304036670
K1304036670K1304036670
K1304036670
IOSR Journals
 
L0947075
L0947075L0947075
L0947075
IOSR Journals
 
F017243241
F017243241F017243241
F017243241
IOSR Journals
 
C011111829
C011111829C011111829
C011111829
IOSR Journals
 
H017255560
H017255560H017255560
H017255560
IOSR Journals
 
Mining Approach for Updating Sequential Patterns
Mining Approach for Updating Sequential PatternsMining Approach for Updating Sequential Patterns
Mining Approach for Updating Sequential Patterns
IOSR Journals
 
N010118893
N010118893N010118893
N010118893
IOSR Journals
 
F010434147
F010434147F010434147
F010434147
IOSR Journals
 
M1803047782
M1803047782M1803047782
M1803047782
IOSR Journals
 

Viewers also liked (20)

P01243104110
P01243104110P01243104110
P01243104110
 
E017662532
E017662532E017662532
E017662532
 
K017115359
K017115359K017115359
K017115359
 
K0176495101
K0176495101K0176495101
K0176495101
 
G017164448
G017164448G017164448
G017164448
 
D017511825
D017511825D017511825
D017511825
 
H017354756
H017354756H017354756
H017354756
 
Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...Comparative Study on Selected Physical Fitness Components among the Physical ...
Comparative Study on Selected Physical Fitness Components among the Physical ...
 
N0172189102
N0172189102N0172189102
N0172189102
 
M0947679
M0947679M0947679
M0947679
 
Performance Evaluation for Production of 5000kgHydraulic Jack
Performance Evaluation for Production of 5000kgHydraulic JackPerformance Evaluation for Production of 5000kgHydraulic Jack
Performance Evaluation for Production of 5000kgHydraulic Jack
 
K1304036670
K1304036670K1304036670
K1304036670
 
L0947075
L0947075L0947075
L0947075
 
F017243241
F017243241F017243241
F017243241
 
C011111829
C011111829C011111829
C011111829
 
H017255560
H017255560H017255560
H017255560
 
Mining Approach for Updating Sequential Patterns
Mining Approach for Updating Sequential PatternsMining Approach for Updating Sequential Patterns
Mining Approach for Updating Sequential Patterns
 
N010118893
N010118893N010118893
N010118893
 
F010434147
F010434147F010434147
F010434147
 
M1803047782
M1803047782M1803047782
M1803047782
 

Similar to Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time

A gsm based intelligent wireless mobile patient monitoring system
A gsm based intelligent wireless mobile patient monitoring systemA gsm based intelligent wireless mobile patient monitoring system
A gsm based intelligent wireless mobile patient monitoring system
eSAT Journals
 
Hypertension prediction using machine learning algorithm among Indonesian adults
Hypertension prediction using machine learning algorithm among Indonesian adultsHypertension prediction using machine learning algorithm among Indonesian adults
Hypertension prediction using machine learning algorithm among Indonesian adults
IAESIJAI
 
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
BASMAJUMAASALEHALMOH
 
Mining Health Examination Records A Graph Based Approach
Mining Health Examination Records A Graph Based ApproachMining Health Examination Records A Graph Based Approach
Mining Health Examination Records A Graph Based Approach
ijtsrd
 
Intelligent Healthcare Monitoring in IoT
Intelligent Healthcare Monitoring in IoTIntelligent Healthcare Monitoring in IoT
Intelligent Healthcare Monitoring in IoT
IJAEMSJORNAL
 
20411-38909-2-PB.pdf
20411-38909-2-PB.pdf20411-38909-2-PB.pdf
20411-38909-2-PB.pdf
IjictTeam
 
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSmHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
IAEME Publication
 
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
IJERA Editor
 
WBSN based safe lifestyle: a case study of heartrate monitoring system
WBSN based safe lifestyle: a case study of heartrate monitoring system WBSN based safe lifestyle: a case study of heartrate monitoring system
WBSN based safe lifestyle: a case study of heartrate monitoring system
IJECEIAES
 
Detection of myocardial infarction on recent dataset using machine learning
Detection of myocardial infarction on recent dataset using machine learningDetection of myocardial infarction on recent dataset using machine learning
Detection of myocardial infarction on recent dataset using machine learning
IJICTJOURNAL
 
Esc 2015
Esc 2015 Esc 2015
Esc 2015
Emidia Felipe
 
Automated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessmentAutomated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessment
redpel dot com
 
IRJET- Disease Analysis and Giving Remedies through an Android Application
IRJET- Disease Analysis and Giving Remedies through an Android ApplicationIRJET- Disease Analysis and Giving Remedies through an Android Application
IRJET- Disease Analysis and Giving Remedies through an Android Application
IRJET Journal
 
Review on hypertension diagnosis using expert system and wearable devices
Review on hypertension diagnosis using expert system and  wearable devicesReview on hypertension diagnosis using expert system and  wearable devices
Review on hypertension diagnosis using expert system and wearable devices
IJECEIAES
 
Ml3422292231
Ml3422292231Ml3422292231
Ml3422292231
IJERA Editor
 
Heart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning TechniquesHeart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning Techniques
IRJET Journal
 
2
22
RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORSRECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS
jibinknm
 
RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS
jibinknm
 
Technology will save our minds and bodies
Technology will save our minds and bodiesTechnology will save our minds and bodies
Technology will save our minds and bodies
Elizabeth Cooper
 

Similar to Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time (20)

A gsm based intelligent wireless mobile patient monitoring system
A gsm based intelligent wireless mobile patient monitoring systemA gsm based intelligent wireless mobile patient monitoring system
A gsm based intelligent wireless mobile patient monitoring system
 
Hypertension prediction using machine learning algorithm among Indonesian adults
Hypertension prediction using machine learning algorithm among Indonesian adultsHypertension prediction using machine learning algorithm among Indonesian adults
Hypertension prediction using machine learning algorithm among Indonesian adults
 
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
A_Healthcare_Monitoring_System_for_the_Diagnosis_of_Heart_Disease_in_the_IoMT...
 
Mining Health Examination Records A Graph Based Approach
Mining Health Examination Records A Graph Based ApproachMining Health Examination Records A Graph Based Approach
Mining Health Examination Records A Graph Based Approach
 
Intelligent Healthcare Monitoring in IoT
Intelligent Healthcare Monitoring in IoTIntelligent Healthcare Monitoring in IoT
Intelligent Healthcare Monitoring in IoT
 
20411-38909-2-PB.pdf
20411-38909-2-PB.pdf20411-38909-2-PB.pdf
20411-38909-2-PB.pdf
 
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSmHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMS
 
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...
 
WBSN based safe lifestyle: a case study of heartrate monitoring system
WBSN based safe lifestyle: a case study of heartrate monitoring system WBSN based safe lifestyle: a case study of heartrate monitoring system
WBSN based safe lifestyle: a case study of heartrate monitoring system
 
Detection of myocardial infarction on recent dataset using machine learning
Detection of myocardial infarction on recent dataset using machine learningDetection of myocardial infarction on recent dataset using machine learning
Detection of myocardial infarction on recent dataset using machine learning
 
Esc 2015
Esc 2015 Esc 2015
Esc 2015
 
Automated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessmentAutomated health alerts using in home sensor data for embedded health assessment
Automated health alerts using in home sensor data for embedded health assessment
 
IRJET- Disease Analysis and Giving Remedies through an Android Application
IRJET- Disease Analysis and Giving Remedies through an Android ApplicationIRJET- Disease Analysis and Giving Remedies through an Android Application
IRJET- Disease Analysis and Giving Remedies through an Android Application
 
Review on hypertension diagnosis using expert system and wearable devices
Review on hypertension diagnosis using expert system and  wearable devicesReview on hypertension diagnosis using expert system and  wearable devices
Review on hypertension diagnosis using expert system and wearable devices
 
Ml3422292231
Ml3422292231Ml3422292231
Ml3422292231
 
Heart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning TechniquesHeart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning Techniques
 
2
22
2
 
RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORSRECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS
 
RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS RECENT ADVANCES IN WEARABLE SENSORS
RECENT ADVANCES IN WEARABLE SENSORS
 
Technology will save our minds and bodies
Technology will save our minds and bodiesTechnology will save our minds and bodies
Technology will save our minds and bodies
 

More from IOSR Journals

A011140104
A011140104A011140104
A011140104
IOSR Journals
 
M0111397100
M0111397100M0111397100
M0111397100
IOSR Journals
 
L011138596
L011138596L011138596
L011138596
IOSR Journals
 
K011138084
K011138084K011138084
K011138084
IOSR Journals
 
J011137479
J011137479J011137479
J011137479
IOSR Journals
 
I011136673
I011136673I011136673
I011136673
IOSR Journals
 
G011134454
G011134454G011134454
G011134454
IOSR Journals
 
H011135565
H011135565H011135565
H011135565
IOSR Journals
 
F011134043
F011134043F011134043
F011134043
IOSR Journals
 
E011133639
E011133639E011133639
E011133639
IOSR Journals
 
D011132635
D011132635D011132635
D011132635
IOSR Journals
 
C011131925
C011131925C011131925
C011131925
IOSR Journals
 
B011130918
B011130918B011130918
B011130918
IOSR Journals
 
A011130108
A011130108A011130108
A011130108
IOSR Journals
 
I011125160
I011125160I011125160
I011125160
IOSR Journals
 
H011124050
H011124050H011124050
H011124050
IOSR Journals
 
G011123539
G011123539G011123539
G011123539
IOSR Journals
 
F011123134
F011123134F011123134
F011123134
IOSR Journals
 
E011122530
E011122530E011122530
E011122530
IOSR Journals
 
D011121524
D011121524D011121524
D011121524
IOSR Journals
 

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
WENKENLI1
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
BrazilAccount1
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
SamSarthak3
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
Robbie Edward Sayers
 
Fundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptxFundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptx
manasideore6
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 

Recently uploaded (20)

Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Fundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptxFundamentals of Electric Drives and its applications.pptx
Fundamentals of Electric Drives and its applications.pptx
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 

Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 5, Issue 4 (May. - Jun. 2013), PP 29-33 www.iosrjournals.org www.iosrjournals.org 29 | Page Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time Ms.Renu Ravi1 , Mrs.K.Vanmathi2 1 (PG Scholar (EEE), Hindusthan College of Engineering and Technology, Coimbatore) 2 (Asst.Professor(EEE), Hindusthan College of Engineering and Technology, Coimbatore) Abstract: Largest ever study of deaths show that heart ailments and respiratory failure have replaced communicable diseases as the biggest killer in rural and urban areas of the country. Population based studies in the youth show that the precursors of heart disease start in adolescence. In order to stem the tide of these diseases, early detection and primary prevention is needed. Early detection and primary prevention starts with education and awareness that these diseases poses the greatest threat and measures to prevent or reverse this disease must be taken. Here comes the need for automatic disease detection technique that would aid the physicians in an early detection of human body abnormalities. Heart rate, respiration and body temperature of the subjects are collected and testing is done using samples from reference database. All these three parameters are monitored using different sensors and these measured values are transferred to the PC using ZigBee that provides wireless transfer of data. As a result the patient health status can be acquired, monitored and synthesized immediately in a clear and easy way. The simulations are done using LabView software. Keywords: atherosclerosis, e-Health, low cost approach, monitoring, patient specific health care, wireless transfer. I. INTRODUCTION Due to certain myths and misconceptions, most of the people do not come out in the open to get themselves diagnosed and treated. In case of people who believe that all these diseases are fatal, contagious, genetic and that it can’t be treated, death becomes inevitable. Since the population mainly belongs to an intermediate risk group, conventional risk factors have low predictive power and here comes the necessity for the integrated e-health approach for early detection of human body disorders. Health care practice supported by electronic processes and communication, dating back to at least 1999 is termed e-health. In other words it is the health [1] care practices using the internet. Early detection is the key to successfully treating most types of disorders. Early disease detection is the use of screening tests to find health problems before symptoms appear. It can also be defined as diagnostic tests, medical examinations, and self-examinations to detect a disease or other health problem early in its course. Early disease detection is made use of due to many reasons. Often, the earlier a disease is diagnosed, the more sooner it can be cured or successfully handled. Dealing with a disease, especially early in its course, may lower its impact on our life, prevent or delay serious complications. The tests suggested for early detection of human body disorders depend on the age, health, and gender. Often, they also depend on the risk factors. The risk factors may include age, family history, smoking habits etc. When and how often screening tests should be done may depend on the age, gender, family history, health status, lifestyle, and the cost of testing. Certain screening times can be scheduled based on expert guidelines. In some cases, testing is also done as part of a routine checkup. Here body parameters like heart rate, respiration and body temperature are being monitored using noninvasive techniques. This detection by means of noninvasive techniques for the evaluation of structural and/or functional parameters could provide a major opportunity in the early diagnosis and prevention of human body diseases. Cardiovascular diseases, CVD [2]-[5] is a class of diseases that affects the cardiovascular system and its associated blood vessels. Most CVDs reflect chronic conditions while some may be acute events such as heart attacks and strokes. The process of atherosclerosis evolves over decades, and begins as early as childhood. However, most adolescents are more concerned about other risks such as cancer, HIV and accidents than cardiovascular disease. The most recent studies show that 1 in 3 people will die from complications attributable to atherosclerosis. Heart Rate and Heart Rate Variability are important measures that reflect the state of the cardiovascular system. HRV analysis which is a non invasive measurement has gained prominence in the field of cardiology for detecting CVDs. Thus CVD detection by means of non invasive evaluation of structural or functional vascular parameters could provide a major opportunity in the early diagnosis and prevention of cardiovascular diseases. Respiration monitoring is one of the most important elements of accessing the physiological state. Respiration failure can be difficult to predict. In just a few minutes life-threatening conditions can arise. So by
  • 2. Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time www.iosrjournals.org 30 | Page monitoring the chest movement continuous measurement and free access to all vital organs can be done. This makes possible the measurement of not only the respiratory signal frequency but also the analysis of the patients’ respiratory cycle. This non invasive evaluation of respiration helps in early diagnosis and prevention of respiratory accidents with an advantage of providing reliable and accurate information about the extent of respiratory motion magnitude. Any abnormalities in human body cause a variation to the normal body temperature. This is one of the most easily detectable changes that occur initially. As a result body temperature is also measured using different sensors [6]. II. Block Diagram Fig.1 Block diagram Wireless communication systems have been gaining popularity as it provides mobility and convenience. Development in this technology has given rise to numerous options of data transfer with coverage ranging from a few meters to thousand kilometers. Zigbee can be defined as a low cost, low power, wireless mesh network standard. It is used in mesh network form to transmit data over longer distances. This data is passed through intermediate devices so that it can reach more distant ones. It is targeted at applications that require a long battery life, secure networking and low data rate. Zigbee also provides short range wireless transfer of data at relatively low rates. It is simpler and less expensive than WPANs such as Bluetooth. Another advantage of using Zigbee is that it provides large network capacity and saves power. RS232 provides connection between a Data Terminal Equipment (DTE) and a Data Circuit Terminating Equipment (DCE). Is is commonly used in computer serial ports. RS232 can also be used as a standard for serial binary single-ended data and control signals. III. Simulation Model Heart Beat Fig. 2 Heart beat simulation model
  • 3. Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time www.iosrjournals.org 31 | Page Respiration Fig. 3 Respiration simulation model Body Temperature Fig. 4 Body temperature simulation model Heart rate, respiration and body temperature of the subjects are monitored using different sensors [6] and these measured values are transferred to the PC using zigbee that provides wireless [7] transfer of data. As a result the patient health status can be acquired, monitored and synthesized immediately in a clear and easy way. The simulation is done using labview. The normal values for heart rate, respiration and body temperature are earlier fed into the system. The measured values of the subject’s heart rate, respiration rate and body temperature [8] are then loaded into the system. All the three parameters including heart rate, respiration rate and body temperature acquired using different sensors are then tested using samples from the reference database. If the measured value of the subject differ from the normal value then there will be an indication showing that the parameter of the subject under analysis is abnormal. Healthy subjects show no difference between calculated and estimated risk values. Repeatable non-invasive technology is being used for this purpose. Thus detection by means of noninvasive techniques for the evaluation of structural and/or functional parameters provides a major opportunity in the early diagnosis and prevention of human body diseases and also improves patient specific diagnosis. IV. Results And Discussion Heart Rate
  • 4. Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time www.iosrjournals.org 32 | Page Respiration Body Temperature Fig. 5 Simulation results The signals for heart rate, respiration and body temperature are monitored for further evaluation. The signal conditioning, classification and user-interface of these recorded signals is implemented in software using Labview 8.6. The main advantage is that multiple parameters can be monitored at a time. The parameters including heart rate, respiration and body temperature can be acquired, monitored and immediately synthesized in a clear and easy way by considering a minimum amount of data. All these provide benefits of patient specific monitoring and treatment support tools for early detection of human body disorders. More over this can be made use at our own convenience using computer aided instruction [9-13]. The introduction to wireless connections to exchange sensor’s data also provides a great flexibility for both patient and medical staff. Moreover low cost and repeatable noninvasive technology is justified. V. Conclusion The main advantage of this paper is the benefit of patient specific monitoring and treatment support tools for early detection of human body disorders. Its recommendations should not be used as a basis for delaying, or else as a substitute for, evaluation and treatment by a physician. Leading a healthy lifestyle and also paying heed to the suggestions of experts is recommended. Higher awareness among people are required in order to avoid undue advantage of the patient’s desperation. They should be aware that health decisions should not be based on hope and desperation but should be rational and practical. The work presented is aimed for the early detection and prevention of human body abnormalities in real-time. Acknowledgement Authors would like to thank all the researchers who have contributed in this field of research. The comments of anonymous reviewers to improve the quality of this paper are also acknowledged. Reference [1] J. M. Wilkinson, “Medical market for Microsystems,” Int. Newsletter Microsyst. MEMS, no. 4/02, p. 37, Sep. 2002. [2] M. Naghavi, E. Falk, H. S. Hecht, M. J. Jamieson, S. Kaul, D. Berman, Z. Fayad, M. J. Budoff, J. Rumberger, T. Z. Naqvi, L. J. Shaw, O. Faergeman, J. Cohn, R. Bahr, W. Koenig, J. Demirovic, D. Arking, V. L. Herrera, J. Badimon, J. A. Goldstein, Y. Rudy, J. Airaksinen, R. S. Schwartz, W. for Heart Attack Prevention and Education (SHAPE) Task Force report,”Am. J. Cardiol., vol. 98, no. 2A, pp. 2H–15H, Jul. 2006. [3] P. Greenland, J. S. Alpert, G. A. Beller, E. J. Benjamin,M. J. Budoff, Z. A.Fayad, E Foster,M. A. Hlatky, J. M. Hodgson, F. G. Kushner, M. S. Lauer,L. J. Shaw, S. C. Smith, Jr., A. J.Taylor,W. S.Weintraub, N. K.Wenger, A.K. Jacobs, S. C. Smith, Jr., J. L. Anderson, N. Albert, C. E. Buller, M. A.Creager, S.M. Ettinger, R. A. Guyton, J. L. Halperin, J. S. Hochman, F. G.Kushner, R. Nishimura, E. M. Ohman, R. L. Page,W. G.Stevenson, L. G.Tarkington, and C.W.Yancy,“2010ACCF/AHA guideline for assessmentof cardiovascular risk in asymptomatic adults: Executive Summary,” J.Am. Coll. Cardiol. 14, vol. 56, no. 25, pp. e50– e103, Dec. 2010. [4] G. Chironi, A. Simon, J. Megnien, M. Sirieix, E. Mousseaux, F. Pessana,and R. Armentano, “Impact of coronary artery calcium on cardiovascularrisk categorization and lipid-lowering drug eligibility in asymptomatic hypercholesterolemicmen,” Int. J. Cardiol., [Epub ahead of print] PubMedPMID: 20580446, Jun. 2010P. [5] A. Simon, G. Chironi, and J. Levenson, “Comparative performance of subclinical atherosclerosis tests in predicting coronary heart disease in asymptomatic individuals,” Eur. Heart J., vol. 28, no. 24, pp. 2967–2971
  • 5. Integrated E-Health Approach For Early Detection of Human Body Disorders in Real-Time www.iosrjournals.org 33 | Page [6] F. Rahman, A. Kumar, G. Nagendra, and G. Sen Gupta, “Network approach for physiological parameter measurement,” IEEE Trans. Instrum.Meas., vol. 54, pp. 337–346, Feb. 2005. [7] N. Hamza, F. Touati, and L. Khriji,“Wireless biomedical system design based on ZigBee technology for autonomous healthcare,” in Proc. Int. Conf. Commun., Comput., Power (ICCCP’09), Muscat, Feb. 15–18, 2009, pp. 183–188. [8] R. Lenhardt and D. I. Sessler, “Estimation of mean-body temperature from mean-skin and core temperature,” Anesthesiology, vol. 105, no. 6, pp. 1117–1121, Dec. 2006. [9] Lyon HC Jr, Healy JC, Bell JR, et al. PlanAnalyzer, an interactive computer-assisted program to teach clinical problem solving in diagnosing anemia and coronary artery disease.Acad Med. 1992;67: 821–8. CrossRef, PubMed, Web of Science® [10] U.S. Congress, Office of Technology Assessment. Technology and the American Economic Transition: Choices for the Future. Washington, DC: U.S. Government Printing Office; May, 1998. [11] Desch LW, Esquval MT, Anderson SK. Comparison of a computer tutorial with other methods for teaching well newborn care.Am J Dis Child. 1991;145: 1255–8.PubMed, CAS, Web of Science® Times Cited: 19 [12] Chew FS & Smirniotopoulos JG. Educational efficacy of computer-assisted instruction with interactive videodisc in radiology.Invest Radiol. 1993;28: 1052–8.CrossRef, PubMed, CAS, Web of Science® [13] Mitchell JA, Bridges AJ, Reid JC, Cutts JH III, Hazelwood S, Sharp GC. Preliminary evaluation of learning via the AI/LEARN/Rheumatology interactive videodisc system.Proceedings of the 16th Annual Symposium on Computer Applications in Medical Care. Washington, DC: IEEE Society Press; 1992: 169–73.