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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1305
AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMA
Monisha. D1, Mano Ranjitham. R2, Amal Stefy Rose. R3, Keerthana. L4, Janani. V5
1Assistant Professor, Department of Biomedical Engineering, Hindusthan College of Engineering and Technology,
Tamil Nadu, India
2Department of Biomedical Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil
Nadu, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Asthma is a common chronic disease that affects
most of the children world-wide. It is characterized by
continuous cough, wheezing, shortnessofbreath, reversibleair
flow limitation and bronchial hyperresponsiveness. Asthmain
young children is difficult to diagnose as lung function
measurements are not much reliable in young children.
Symptoms that the young childrenpossessarenotnecessaryto
be asthma specific symptoms. This proposed system is to
provide support and help the children to be diagnosed and
treated in advance to reduce the chances critical
complications. The sensors implemented in this prototype
detect the pollution and dust particles levels. If any difficulties
in breathing is detected among the children, the IOT alert
system triggers an alarm and alert the emergency contact
person’s device connected to thealertsystemthrough message
notifications. In this way, proper medical assistance can be
given to the children immediately.
Key Words: Node MCU, Blynk Server Application,
Humidity Sensor, Gas Sensor, Dust Sensor
1.INTRODUCTION
Asthma,a respiratorydisease,isprimarilycausedby
genetic inheritance and it can also be allergy induced. It
causes difficulties in breathing and make challenges in
physical activities for people of all ages. [1] Although the
healthcare support are getting upgraded in Indian hospitals
over the recent years, there is less than one doctor for every
1000 population (0.62:1000). This ratio is less than the
WorldHealthOrganization(WHO) requirement(1:1000).[2]
In recent years, Asthma appears to be the one of the most
common disease that needs hospitalization.Usinga low-cost
sensor-based IoT system can help in management of these
diseases. [3] This paper describes a cost-effective portable
model of health monitoring system for asthma monitoring.
The abnormality is detected with alert notification.[1][3] An
android application is used to record the vital signs to avoid
burden and maintenance cost of medical servers. [4] The
signals are obtained from the sensors and can be monitored
through android application. The real-time value can be
monitored from the connecteddevice.[1][3][4] Thepatient’s
condition is monitored from distant locationand emergency
alert is given to safeguard the life of patients using real-time
monitoring.[5]
The method proposed is a prototype model for wearable
band asthma monitoring system. An IoT based alert system
will help the patients to be treated in time, that will provide
the patients with needed medical assistance in correct time.
The signals are obtained from the sensors and can be
monitored with the help of the mobile application, BLYNK.
Blynk is an IoT platform for android devices that are
connected to Internet.
The prototype model is connected with a specific user name
and password for a particular patient. The android device
with that username and password gets connected
automatically. N numberdevicescanbeconnectedtoa single
patient that will be helpful in giving alert to doctors, nurses
and care-takers at the same-time. The real time values have
been monitored from the connected devices through Blynk
application.
Therefore, patients’ conditioncanbemonitoredfromdistant
location and an emergency alert in emergency conditions
will be given to save the lives of the patients with the help of
this real-time monitoring.
2. METHODOLOGY
2.1 Block Diagram
Fig -1: Transmitter Section
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1306
Fig -2: Receiver Section
2.2 NodeMCU ESP8266
NodeMCU is an open- source Lua grounded
firmware and development board particularlytargetedfor
IoT predicated Applications. It includesfirmwarethatruns
on the ESP8266 Wi-Fi SoC from Espressoif Systems, and
accoutrements which is rested on the ESP-12 module.
Fig -3: NodeMCU ESP8266
2.3 DHT11 Temperature & Humidity Sensor
The DHT11 sensor is a temperature and humidity
sensor which is used to measure temperature and humidity
of a person or the surrounding. Digital signal detection
method and DHT11 sensor combination are used to protect
high reliability and good long-term power. It offersexcellent
measurement quality, fast response, translation ability at
low cost.
Fig -4: DHT11 Temperature & Humidity Sensor
2.4 MQ-2 Gas Sensor
Gas Sensor Module (MQ2) is useful fordetectinggas
leaks (domestic and industrial). It can detect flammable gas
and smoke. The outputvoltagefromtheGassensorincreases
when the gas is full. Sensitivity can be adjusted by rotating
the potentiometer. MQ-2 gas sensor has high sensitivity to
LPG, Propane and Hydrogen, and can be used for Methane
and other combustible materials, haslowcostandissuitable
for alternative use.
Fig -5: MQ-2 Gas Sensor
2.5 Optical Dust Sensor
The GP2Y1014AU0F is a small six-pin air output /
visible dust sensor designed to detect dust particles in the
air. It works with the Laser dispersion system and is
particularly effective in detecting fine particles such as
cigarette smoke, and is often usedinairpurificationsystems.
This sensor has an IR emittingdiodeanda phototransistor.It
works with 4.5V which claims to be 5.5V DC.
Fig -6: Optical Dust Sensor GP2Y1014AU0F
2.6 Buzzer
A buzzer or beeper is a signaling device, This buzzer,
works on a reduced AC voltage in 50 or 60 cycles. Some of
the most common sounds used to indicatea buttonarea ring
or a beep. This buzzer circuit novel uses a series relay with a
small audio transformer and speaker.
Fig -7: Buzzer
2.7 Display
A liquid crystal display (LCD)isanelectronicdevicethat
is shaped into a small, flat panel made of any color number
or monochrome pixels filled with liquid crystals and
decorated before a light source (backlight) or display. It is
commonly used in battery-powered appliances because it
uses very small amounts of electricity.
Web application
PC or any
monitor device
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1307
Fig -8: LCD
3. PROPOSED DESIGN
Fig -9: Proteus Simulation
A proteus simulation of our design is given inthefig
-9. This is programmed in Arduino IDE to display the
temperature of the environment, dust level measured in
μg/m3 and gas level.
Fig -10: Output of the simulation
3.1 Blynk Server Application
Internet of Things requires a common server in which
the data can communicate around a required set of people.
Hence the Blynk Server Applicationplayssucha roletoserve
the IoT application over our design. This platform provides
us with Blynk App, Blynk Server and Blynk libraries. It can
work in both Android and iOS with a clean User Interface.
The Cloud storage can be connectedthroughEthernet, Wi-Fi,
Bluetooth and GSM.
Fig -11: Blynk Architecture
4. RESULTS AND DISCUSSION
The study phase, which lasted ten weeks, revealed
that an asthma sufferer could seek helpwithin1-6.5 minutes
on average using any of the alarm modalities. According to
the data analysis, the loud buzzer drewmoreattentiontothe
asthma patient and gave immediate first assistance, while
medical practitioners were advised of the same by text
message. The device emits a loud sound buzzer to the
neighboring units that have been designated as emergency
contacts, increasing their chances of receiving assistance.
Some occurrences of chronic asthma resultinconvulsions or
an asthma patient's immediate loss of consciousness. These
are extreme situations that would account for a small
percentage of the overall community'sasthmaticpopulation.
In such instances, an on-site caregiver would be required to
check on the patient on a regular basis. Furthermore, for
such patients, we can have the system installedonthebed so
that the patient does not have to walk to the wall.
Fig -12: An Advanced Monitoring and health care for
Asthma
5. CONCLUSION
In this paper, physiological parameters such as
Moisture content, Smoke, Dust and temperature around the
environment are obtained successfully from patients. These
physiological parameters were processed via Arduino IDE.
Finally, the processed data were transmitted using cloud
computing and it was receivedatremotehealth-caresiteand
also visualized at the LCD Display.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1308
REFERENCES
[1] A. Mwangi, E. Ndashimye, B. Karikumutima andS.K.
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[2] S. Kethipalli, K. V. Krishna Reddy, G. Sreenivasa
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[3] BibTeX
@inproceedings{10.1145/3494322.3494704,John,
Reena and Kureshi, Rameez Raja and Thakker,
Dhavalkumar and Mishra, Bhupesh Kumar,Internet
of Things (IoT) and Indoor Air Quality (IAQ)
Monitoring in the Health Domain 2021,
9781450385664, Association for Computing
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[4] R. K. Pathinarupothi, P. Durga,andE.S.Rangan,“Iot-
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[5] R. Jafari, A. Encarnacao, A. Zahoory, F. Dabiri, H.
Noshadi, and M. Sarrafzadeh, “Wireless sensor
networks for health monitoring,” in The Second
Annual International Conference on Mobile and
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[6] Ruth Ravichandran, Elliot Saba, Ke-Yu Chen,
Mayank Goel, Sidhant Gupta and Shwetak N. Patel,
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Wireless Signals in Natural Settings in the Home”
[7] Anu Roopa Devi S., Mahalakshmi P, KeerthanaR.and
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[8] Sunil Patil, Chaitanya Modak, Bhavesh
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[9] Mohanraj T and Keshore Raj S N,”Patient
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[10] Ahmed Abdulkadir Ibrahim, Yasin Muhammad and
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[11] “A Survey on Health Monitoring System by using
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[14] “Lowpower Multi-modeElectrochemical GasSensor
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[15] R. Piyare, “Internet of things: ubiquitous home
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[16] K. G. Srinivasa, N. Siddiqui, and A. Kumar,
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AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMA

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1305 AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMA Monisha. D1, Mano Ranjitham. R2, Amal Stefy Rose. R3, Keerthana. L4, Janani. V5 1Assistant Professor, Department of Biomedical Engineering, Hindusthan College of Engineering and Technology, Tamil Nadu, India 2Department of Biomedical Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Asthma is a common chronic disease that affects most of the children world-wide. It is characterized by continuous cough, wheezing, shortnessofbreath, reversibleair flow limitation and bronchial hyperresponsiveness. Asthmain young children is difficult to diagnose as lung function measurements are not much reliable in young children. Symptoms that the young childrenpossessarenotnecessaryto be asthma specific symptoms. This proposed system is to provide support and help the children to be diagnosed and treated in advance to reduce the chances critical complications. The sensors implemented in this prototype detect the pollution and dust particles levels. If any difficulties in breathing is detected among the children, the IOT alert system triggers an alarm and alert the emergency contact person’s device connected to thealertsystemthrough message notifications. In this way, proper medical assistance can be given to the children immediately. Key Words: Node MCU, Blynk Server Application, Humidity Sensor, Gas Sensor, Dust Sensor 1.INTRODUCTION Asthma,a respiratorydisease,isprimarilycausedby genetic inheritance and it can also be allergy induced. It causes difficulties in breathing and make challenges in physical activities for people of all ages. [1] Although the healthcare support are getting upgraded in Indian hospitals over the recent years, there is less than one doctor for every 1000 population (0.62:1000). This ratio is less than the WorldHealthOrganization(WHO) requirement(1:1000).[2] In recent years, Asthma appears to be the one of the most common disease that needs hospitalization.Usinga low-cost sensor-based IoT system can help in management of these diseases. [3] This paper describes a cost-effective portable model of health monitoring system for asthma monitoring. The abnormality is detected with alert notification.[1][3] An android application is used to record the vital signs to avoid burden and maintenance cost of medical servers. [4] The signals are obtained from the sensors and can be monitored through android application. The real-time value can be monitored from the connecteddevice.[1][3][4] Thepatient’s condition is monitored from distant locationand emergency alert is given to safeguard the life of patients using real-time monitoring.[5] The method proposed is a prototype model for wearable band asthma monitoring system. An IoT based alert system will help the patients to be treated in time, that will provide the patients with needed medical assistance in correct time. The signals are obtained from the sensors and can be monitored with the help of the mobile application, BLYNK. Blynk is an IoT platform for android devices that are connected to Internet. The prototype model is connected with a specific user name and password for a particular patient. The android device with that username and password gets connected automatically. N numberdevicescanbeconnectedtoa single patient that will be helpful in giving alert to doctors, nurses and care-takers at the same-time. The real time values have been monitored from the connected devices through Blynk application. Therefore, patients’ conditioncanbemonitoredfromdistant location and an emergency alert in emergency conditions will be given to save the lives of the patients with the help of this real-time monitoring. 2. METHODOLOGY 2.1 Block Diagram Fig -1: Transmitter Section
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1306 Fig -2: Receiver Section 2.2 NodeMCU ESP8266 NodeMCU is an open- source Lua grounded firmware and development board particularlytargetedfor IoT predicated Applications. It includesfirmwarethatruns on the ESP8266 Wi-Fi SoC from Espressoif Systems, and accoutrements which is rested on the ESP-12 module. Fig -3: NodeMCU ESP8266 2.3 DHT11 Temperature & Humidity Sensor The DHT11 sensor is a temperature and humidity sensor which is used to measure temperature and humidity of a person or the surrounding. Digital signal detection method and DHT11 sensor combination are used to protect high reliability and good long-term power. It offersexcellent measurement quality, fast response, translation ability at low cost. Fig -4: DHT11 Temperature & Humidity Sensor 2.4 MQ-2 Gas Sensor Gas Sensor Module (MQ2) is useful fordetectinggas leaks (domestic and industrial). It can detect flammable gas and smoke. The outputvoltagefromtheGassensorincreases when the gas is full. Sensitivity can be adjusted by rotating the potentiometer. MQ-2 gas sensor has high sensitivity to LPG, Propane and Hydrogen, and can be used for Methane and other combustible materials, haslowcostandissuitable for alternative use. Fig -5: MQ-2 Gas Sensor 2.5 Optical Dust Sensor The GP2Y1014AU0F is a small six-pin air output / visible dust sensor designed to detect dust particles in the air. It works with the Laser dispersion system and is particularly effective in detecting fine particles such as cigarette smoke, and is often usedinairpurificationsystems. This sensor has an IR emittingdiodeanda phototransistor.It works with 4.5V which claims to be 5.5V DC. Fig -6: Optical Dust Sensor GP2Y1014AU0F 2.6 Buzzer A buzzer or beeper is a signaling device, This buzzer, works on a reduced AC voltage in 50 or 60 cycles. Some of the most common sounds used to indicatea buttonarea ring or a beep. This buzzer circuit novel uses a series relay with a small audio transformer and speaker. Fig -7: Buzzer 2.7 Display A liquid crystal display (LCD)isanelectronicdevicethat is shaped into a small, flat panel made of any color number or monochrome pixels filled with liquid crystals and decorated before a light source (backlight) or display. It is commonly used in battery-powered appliances because it uses very small amounts of electricity. Web application PC or any monitor device
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1307 Fig -8: LCD 3. PROPOSED DESIGN Fig -9: Proteus Simulation A proteus simulation of our design is given inthefig -9. This is programmed in Arduino IDE to display the temperature of the environment, dust level measured in μg/m3 and gas level. Fig -10: Output of the simulation 3.1 Blynk Server Application Internet of Things requires a common server in which the data can communicate around a required set of people. Hence the Blynk Server Applicationplayssucha roletoserve the IoT application over our design. This platform provides us with Blynk App, Blynk Server and Blynk libraries. It can work in both Android and iOS with a clean User Interface. The Cloud storage can be connectedthroughEthernet, Wi-Fi, Bluetooth and GSM. Fig -11: Blynk Architecture 4. RESULTS AND DISCUSSION The study phase, which lasted ten weeks, revealed that an asthma sufferer could seek helpwithin1-6.5 minutes on average using any of the alarm modalities. According to the data analysis, the loud buzzer drewmoreattentiontothe asthma patient and gave immediate first assistance, while medical practitioners were advised of the same by text message. The device emits a loud sound buzzer to the neighboring units that have been designated as emergency contacts, increasing their chances of receiving assistance. Some occurrences of chronic asthma resultinconvulsions or an asthma patient's immediate loss of consciousness. These are extreme situations that would account for a small percentage of the overall community'sasthmaticpopulation. In such instances, an on-site caregiver would be required to check on the patient on a regular basis. Furthermore, for such patients, we can have the system installedonthebed so that the patient does not have to walk to the wall. Fig -12: An Advanced Monitoring and health care for Asthma 5. CONCLUSION In this paper, physiological parameters such as Moisture content, Smoke, Dust and temperature around the environment are obtained successfully from patients. These physiological parameters were processed via Arduino IDE. Finally, the processed data were transmitted using cloud computing and it was receivedatremotehealth-caresiteand also visualized at the LCD Display.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1308 REFERENCES [1] A. Mwangi, E. Ndashimye, B. Karikumutima andS.K. Ray, "An IoT-alert System for Chronic Asthma Patients," 2020 11th IEEE Annual Information Technology, ElectronicsandMobileCommunication Conference (IEMCON), 2020, pp. 0012-0019, doi:10.1109/IEMCON51383.2020.9284816. [2] S. Kethipalli, K. V. Krishna Reddy, G. Sreenivasa Reddy, and S. Lekshmi, “Wireless patient monitoring and alerting system (wpmas),” in 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT), 2018, pp.2088–2093. [3] BibTeX @inproceedings{10.1145/3494322.3494704,John, Reena and Kureshi, Rameez Raja and Thakker, Dhavalkumar and Mishra, Bhupesh Kumar,Internet of Things (IoT) and Indoor Air Quality (IAQ) Monitoring in the Health Domain 2021, 9781450385664, Association for Computing Machinery. [4] R. K. Pathinarupothi, P. Durga,andE.S.Rangan,“Iot- based smart edge for global health: Remote monitoring with severity detection and alerts transmission,” IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2449–2462, 2019. [5] R. Jafari, A. Encarnacao, A. Zahoory, F. Dabiri, H. Noshadi, and M. Sarrafzadeh, “Wireless sensor networks for health monitoring,” in The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2005, pp. 479–481. [6] Ruth Ravichandran, Elliot Saba, Ke-Yu Chen, Mayank Goel, Sidhant Gupta and Shwetak N. Patel, ”Wi Breathe: Estimating Respiration Rate Using Wireless Signals in Natural Settings in the Home” [7] Anu Roopa Devi S., Mahalakshmi P, KeerthanaR.and Rathna Prabha S.,” PC Based Monitoring of Human Biological Signals Using LabVIEW”. [8] Sunil Patil, Chaitanya Modak, Bhavesh Pambhar,Vishal Panchal, Harshit Shah,” Wireless Family Health Care Monitoring System”. [9] Mohanraj T and Keshore Raj S N,”Patient Monitoring System Using LabVIEW”. [10] Ahmed Abdulkadir Ibrahim, Yasin Muhammad and Wang Zhuopeng,” IOT Patient Health Monitoring System”. [11] “A Survey on Health Monitoring System by using IOT ”M. Saranya, R. Preethi, M. Rupasri Dr.S.Veena International Journal for Research in Applied Science&EngineeringTechnology(IJRASET)-March (2018). [12] “Non-intrusive able Health Monitoring Systemsfor Emotion Detection”, Dk Norhafizah Binti Pg Hj Muhammad, Tiong Hoo Lim, Noor Syafiqah Binti Mohd. Arifin. 978-1-5090-6161-7/17/$31.00 c 2017 IEEE [13] “Health Monitoring System Based on Wearable Sensors and Cloud Platform” Rasha Talal Hameed, Omar Abdulwahabe Mohamad,NicolaeŢăpuş.2016 20th International Conference on System Theory, Control and Computing (ICSTCC), October 13-15, Sinaia, Romania. [14] “Lowpower Multi-modeElectrochemical GasSensor Array System Wearable Health and Safety Monitoring”, HaitaoLi,miaoyi Mu,YuningYang, Andrew J. Mason.IEEE sensors journal(volume 14,issue:10 oct 2014 [15] R. Piyare, “Internet of things: ubiquitous home control and monitoring systemusing android based smart phone,” International Journal of Internet of Things, vol.2, no. 1, pp. 5–11, 2013. [16] K. G. Srinivasa, N. Siddiqui, and A. Kumar, “Parasense – a sensor integrated cloud based internet of things prototype for real time monitoring applications,”2015 IEEE Region 10th Symposium. [17] R. Kumar and M. P. Rajasekaran, “An IoT based patient monitoring system using raspberry pi,” 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE’16). [18] K. M. Kumar and R. S. Venkatesan, “A Design Approach To Smart Health Monitoring Using Android Mobile Devices,” 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies. [19] P. N. Jain, and T. P. Agarkar, “An embedded, gsm based, multiparameter,realtime patientmonitoring system and control; an implementation for icu patients,” 2012 World Congress onInformationand Communication Technologies. [20] S. Roy and R. Gupta, “Short rangecentralizedcardiac health monitoring system based on zigbee communication,” 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTCSAS).