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TELKOMNIKA, Vol.17, No.5, October 2019, pp.2497~2504
ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018
DOI: 10.12928/TELKOMNIKA.v17i5.9926 ◼ 2497
Received May 19, 2018; Revised April 18, 2019; Accepted May 9, 2019
Design and fabrication of cost-effective heart-rate pulse
monitoring sensor system
Zulkhairi Mohd Yusof, Md Masum Billah*, Kushsairy Kadir, Nur Amanina,
Nur Hidayah, Haidawati Nasir
Universiti Kuala Lumpur (UniKL), Kuala Lumpur, Malaysia
*Corrsponding author, e-mail: drmdmasum@unikl.edu.my
Abstract
A traditional approach of heart rate measurement has always meant that people must go to
hospitals to examine the patient disease at Cardiologist and medical officer. Most people have difficult
such as no transport and lazy to go to the hospital for the check-ups of their conditions heart rate. This is
because, before have a treatment or medical check-up, they should do an appointment. Besides that,
demands of works very high nowadays. People busy with their works until forget to do medical check-ups.
Additionally, the available portable heart rate monitoring machine is costly to buy for all. In this research,
we develop a system which can be accommodate for all while everyone can do their check up at home
and do not waste their time by waiting for their turn in the hospital to do the medical check-ups.
The prototype is built using low cost electronics components. The prototype can do a self-check-up before
seeing a medical practitioner may reduce mortality rate due to the silent killer that is heart attacks.
Keywords: cost-effective, heart failure, LED, pulse
Copyright © 2019 Universitas Ahmad Dahlan. All rights reserved.
1. Introduction
Pulses can be defined as the number of heart beats that beats per minute (bpm).
The heart rate normally depends on the relaxation and contraction of the ventricles in the heart
which have two large chambers. The function of the ventricle is to expel and collect blood to
peripheral beds from atrium within the lungs and body. If the person did not get enough rest,
the person heart rate will be too slow (bradycardia) or the heart rate will be fast (tachycardia)
than the normal heart rate. This tachycardia happen cause the person exercise, stress, trauma
or illness disease. The causes of bradycardia are when the heart does not get enough oxygen
rich blood for the body. Bradycardia and tachycardia can be considered as health problem.
First, place finger at the neck or wrist. Carotid pulse will be measure if the finger place
at the neck but if the finger was place at the wrist, radial pulse will be measure. Normally,
people use wrist to check the pulses. After placed the finger at the wrist or neck the person
need to count over 10 seconds to estimate the beats per minutes and then multiply by 4. Repeat
the same by count within 15 seconds and multiply by 4 and doubling the result. When use this
method usually have an error of the pulses rate. This is because sometime, when we count, we
can make mistakes. Figure 1 shows the manual checking of pulse rate.
Figure 1. Manual method [1]
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504
2498
Besides that, the monitor method also can be used in order to count the pulses. In this
modern era technology, electrocardiogram (ECG) machines was usually use in the hospital.
This is because electrocardiogram (ECG) is very expensive and only expert person can handle
the machine cause it not easy to use. Nowadays with the modern technology, ECG also
available applied in gadgets such watch and smartphone. Figure 2 shows the Holter monitor
with ECG reading checking of pulse rate.
Figure 2. Monitor method [2]
Depolarization and re-polarization of myocardial cells is based on the electrical heart
activity. To reach the atrioventricular node and to generate the contraction of atriums,
the sinoatrial node (natural pacemaker) of electrical impulse will starts flowing through
the atriums. Ventricular contractions will be generates by currents that flows, the current will
flows through the Hiz Bundle and then reaches the ventricles. The heart tissue occur
re-polarization and Punkinje fibers will be reaches by the currents. Figure 3 shows
the behaviour Myocarduim electrical activity.
Figure 3. Myocardium electrical activity [3]
Figure 3 shows the heart behaviour with the QRS complex which means the part of
the generated signal
1. Atrium begins to depolarize.
2. Atrium depolarizes.
3. Ventricles begin to depolarize at apex. Atrium repolarizes.
4. Ventricles depolarize.
5. Ventricles begin to repolarize at apex.
6. Ventricles repolarize
TELKOMNIKA ISSN: 1693-6930 ◼
Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof)
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The word Greek electro have been derived, this is because it related to electrical
activity. This word related to the meaning of heart, cardio and graph. Santorio Santorri was
the first person that invented the pulsilogium which is a form of pendulum to measure accurately
the pulse rate based on Galileo Galilei work. De Lacroix, physician after a century later used to
test cardiac function by used pulsilogium [4].
In 1872 at St Bartholomew’s hospital, the patient’s heartbeat which has a fever was
attached to the Alexander Munirhead [5]. This is because, he wants to obtain a record a
patient’s heart beat and he was studying his Doctor of Science. British physiologist, John
Burdon Sanderson use Lippmann capillary electrometer to record the result [6]. Augustus
Walker from St Mary’s hospital in Paddigton, London was the first on that that approach
electrical view of heart.He used Lippmann capillary electrometer electrocardiograph to fix
the projector. His project allows heartbeat to be record in real time without any problem.
His work project still be used in 1911 [7]. However, currently modern heart rate monitoring
sensory systems are widely developed considering smart design and cloud-based
system [8-13]. All these sensory systems are adequately connected with cloud server [14-20].
A realtime data transmission is also used to monitor the patient condition for online diagnosis
purpose [21-25]. Therefore, these inspirations come to develop a realtime basis heart
monitoring system.
2. Designs and Fabrication Process
Figure 4 shows the block of the whole concept and function for the pulses rate
measurement in this work. This block diagram is made to understand the process implement in
this project. The block diagram consist of four part which are the sensor (IR diode and
Photodiode), the amplifier and filter, the microcontroller and the output (7 segment with LED).
In this project, it have used the sensor which called infrared light-emitting-diode (IR diode) which
is Transceiver and Photodiode (Receiver). IR diode will transmit the reading of the pulses and
infrared light to the fingertip .The infrared light will reflected by the blood cells. Photodiode will
receive the infrared light from IR diode and reflected it back to the fingertip. The little change in
amplitude with the proper signal conditioning will reflected light and convert it into pulses.
IR diode
(Transceiver)
Photo diode
(Receiver)
Amplifier and filter
PIC16F628A
Microcontroller
7 SEGMENT
LED
Figure 4. Block diagram of the pulses rate measurement
We design by used active low pass filter with two operational amplifier (Op-Amps)
which are a two-stage and high gain which the function are to amplify and filter the appropriate
voltage level from signal so that the pulses can be counted by using microcontroller. The active
filter will amplify the signal and passing the certain selected frequencies. The AC voltage source
will connected to the resistor R3 while the capacitor C1 will goes to the ground. Figure 5 shows
the active low pass filter. With the used of microcontroller it will determine the pulses of heart
beat. First, we want to make the project by using the results of the pulses will be display on
3 digit 7 segment with the shift of the LED.
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504
2500
Figure 5. Active low pass filter [8]
2.1. Schematic Diagram
When the start button was pressed up, the pulses of clock start to operate as the input.
The clock was placed over the IR diode (Transmitter/Tx) and Photodiode (Receiver/Rx).
The sensor will configure the clock pulse by using IR diode and Photodiode. When the sensor
detect the pulse of the clock, it will read the signal clock pulses rate, the signal from the sensor
will be transferred and transmit to the PIC microcontroller. It read the clock pulse through
the PIC16F628A. The pulse will be counted from the clock and send it to the PIC
microcontroller. If the pulses is failed to detect by the sensor and the pulses do not display and
show an error, the frequency of the clock pulse must be changed. When the clock pulse process
by the PIC microcontroller, the results of the pulses will display on the 7 segment and the LED
will shift. Figure 6 shows the schematic diagram that we designed in Proteus. Before we start
construct the prototype, we designed the circuit in to check whether the connection is correct or
not as shown in Figure 7. Then we change the design in Proteus to ARES to print the layout.
Figure 6. Schematic diagram in proteus
TELKOMNIKA ISSN: 1693-6930 ◼
Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof)
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Figure 7. Design schematic in Proteus
2.2. PCB in the Making
Firstly, print laser ink the PCB layout on glossy paper that had been design on
the ARES software. The PCB layout must be in laser ink so it easy the layout sticks when iron
on the PCB Board. Then, place neatly the printed PCB layout on the PCB board. After that, iron
the PCB layout on the PCB board based as shown in Figure 8.
After iron the layout on the PCB board, we soaked the PCB board in the acid powder
and add up some warm water. This Figure 9 shows etching process. The function of this etching
process is to remove the copper layer on the board and the layout stick on the PCB Board. Be
careful handling the acid. After the copper remove, wash it with water and brush the PCB layout.
Lastly, we can see the copper shaped layout in Figure 9.
After finished drill the PCB board, place and construct the correct component on
the PCB board. Construct the component based on the simulation to avoid misplaced
the component. Then, solder the component by using solder iron and solder lead with care as
shown in Figure 10. If the circuit does not working properly, troubleshoot and check the circuit
until it working well. As Figure 11 shows that the 7 segment not well function and we need to
troubleshoot this circuit. To make it look more proper and beautiful, we make casing for
the pulse rate measurement project by using box. We place the circuit neatly on the box as
shown in Figure 12.
Figure 8. Iron the PCB board Figure 9. Etching process
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504
2502
Figure 10. Construct and solder component Figure 11. Troubleshoot circuit
Figure 12. Casing for pulse rate measurement
3. Results and Discussions
During developing the prototype, two diodes were separated and covered by black
rubber. At first, press the on switch, the prototype will initialize and the 7 segment will display
000. Next, waited until the 7 segment turn off, and put your index finger on the hole which that
insert IR diode and Photodiode as shown in Figure 13 (a). The index finger will put on the IR
diode and Photo diode because the index finger is so sensitive and it can easily read the pulse
rate. Press the start button to start the project counted the pulse rate as shown in Figure 13 (b).
Figure 13 (c) shows the pulse rate beat per minute will displayed on the 7 segment.
(a) (b) (c)
Figure 13. (a) Place finger (b) press start button (c) display result (072 BPM)
TELKOMNIKA ISSN: 1693-6930 ◼
Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof)
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To check other person’s pulse rate, press the reset button to make sure that the pulse
rate before will be clear. Figure 14 shows the graph based on result Table 1 that the age of
the subject and the pulse rate. For x-axis its shows the age of the subject and for y-axis its
shows the pulse rate. The average for the person that have been test this pulse rate
measurement project is age 19-24. The maximum pulse rate for the subject is 108 and
the minimum pulse rate is 70. We can conclude that the pulse rate depend with the condition of
the subject.
Figure 14. Graph of results for this pulse rate measurement
Table 1. Results for this Pulse Rate Measurement
Person Gender Age Pulse rate Condition
Abidah Girl 19 108 Active
Adilah Girl 20 68 Normal
Shazleen Girl 23 72 Normal
Hanun Girl 21 70 Normal
Kamal Boy 24 114 Active
Farid Boy 19 118 Active
Hisham Boy 20 70 Normal
Abdullah Boy 19 69 Normal
4. Conclusion
The pulse rate measurement was a low-cost microcontroller prototype that had been
successfully built and developed. This is because; the cost of this pulse rate measurement
prototype is USD 7.00. This project is very reasonable and affordable. Besides that, the project
can be used at home to measure the pulse rate easily, efficient and safely without need to make
an appointment with the hospital or spending a lot of money to buy existing expensive
pulse rate. This work is ergonomic, portable, durable, and cost effective (reasonable
and affordable).
References
[1] http://running.competitor.com/2014/06/training/think-youre-overtraining-check-your-pulse_63593.
2018.
[2] http://www.advancedcardio.com/services-holter-event-monitoring.html. 2018.
[3] Chirakanphaisarn N, Thongkanluang T, Chiwpreechar Y. Heart rate measurement and electrical
pulse signal analysis for subject’s span of 20–80 years. Journal of Electrical Systems and Information
Technology. 2016.
[4] Barbeito A, Mark JB. Arterial and central venous pressure monitoring. Anesthesiology Clinics of North
America. 2006; 24(4): 717-35.
[5] https://www.engineersgarage.com/electronic-components/7805-voltage-regulator-ic. 2018.
[6] https://www.lazada.com.my/usb-pic-automatic-programming-develop-microcontroller-programmer.
2018.
◼ ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504
2504
[7] Yunus M, Talib A, Khan A. Designing a 3-lead cost effective ECG recording glove for home
monitoring. Bioscience and Engineering: An International Journal (BIOEJ). 2014; 1(1): 45-56.
[8] Nims J, Capozzi M, Hailey MB, Crankson K, inventors; Nike Inc, assignee. Athletic performance
monitoring system utilizing heart rate information. United States patent US 9,895,096. 2018.
[9] Martinek R, Nedoma J, Fajkus M, Kahankova R, Konecny J, Janku P, Kepak S, Bilik P, Nazeran H. A
phonocardiographic-based fiber-optic sensor and adaptive filtering system for noninvasive continuous
fetal heart rate monitoring. Sensors. 2017; 17(4): 890.
[10] Mallya R, Kothari S, Mehta N. Requirements model for adaptive information system for woman health
monitoring system. 2018 International Conference on Communication information and Computing
Technology (ICCICT). 2018: 1-6.
[11] Lin Z, Chen J, Li X, Zhou Z, Meng K, Wei W, Yang J, Wang ZL. Triboelectric nanogenerator enabled
body sensor network for self-powered human heart-rate monitoring. ACS nano. 2017; 11(9): 8830-7.
[12] Whitfield JM, inventor. Heart rate and pulse monitoring device. United States patent application US
15/828,753. 2018.
[13] Hussein AF, Kumar A, Burbano-Fernandez M, Ramirez-Gonzalez G, Abdulhay E, de Albuquerque
VH. An Automated Remote Cloud-Based Heart Rate Variability Monitoring System. IEEE Access.
2018; 6: 77055-77064.
[14] Cadmus BL, Gangnon R, Wirkus EJ, Thraen BKM, Gorzelitz LJ. The accuracy of heart rate
monitoring by some wrist-worn activity trackers. Annals of internal medicine. 2017; 166(8): 610-2.
[15] Kocabas O, Soyata T, Couderc JP, Aktas M, Xia J, Huang M. Assessment of cloud-based health
monitoring using homomorphic encryption. 2013 IEEE 31st International Conference on Computer
Design (ICCD). 2013: 443-446.
[16] Yang Z, Zhou Q, Lei L, Zheng K, Xiang W. An IoT-cloud based wearable ECG monitoring system for
smart healthcare. Journal of medical systems. 2016; 40(12): 286.
[17] Hassanalieragh M, Page A, Soyata T, Sharma G, Aktas M, Mateos G, Kantarci B, Andreescu S.
Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based
processing: Opportunities and challenges. 2015 IEEE International Conference on Services
Computing. 2015: 285-292.
[18] Bourouis A, Feham M, Bouchachia A. A new architecture of a ubiquitous health monitoring system: a
prototype of cloud mobile health monitoring system. arXiv preprint arXiv:1205.6910. 2012.
[19] Chen M, Ma Y, Li Y, Wu D, Zhang Y, Youn CH. Wearable 2.0: Enabling human-cloud integration in
next generation healthcare systems. IEEE Communications Magazine. 2017; 55(1): 54-61.
[20] Jindal V. Integrating mobile and cloud for PPG signal selection to monitor heart rate during intensive
physical exercise. Proceedings of the International Conference on Mobile Software Engineering and
Systems. 2016: 36-37.
[21] Babu S, Chandini M, Lavanya P, Ganapathy K, Vaidehi V. Cloud-enabled remote health monitoring
system. 2013 International Conference on Recent Trends in Information Technology (ICRTIT). 2013:
702-707.
[22] Melillo P, Orrico A, Scala P, Crispino F, Pecchia L. Cloud-based smart health monitoring system for
automatic cardiovascular and fall risk assessment in hypertensive patients. Journal of medical
systems. 2015; 39(10): 109.
[23] Alam MG, Cho EJ, Huh EN, Hong CS. Cloud based mental state monitoring system for suicide risk
reconnaissance using wearable bio-sensors. Proceedings of the 8th International Conference on
Ubiquitous Information Management and Communication. 2014: 56.
[24] Sailunaz K, Alhussein M, Shahiduzzaman M, Anowar F, Al Mamun KA. CMED: Cloud based medical
system framework for rural health monitoring in developing countries. Computers & Electrical
Engineering. 2016; 53: 469-481.
[25] Tan L. Cloud-based decision support and automation for precision agriculture in orchards.
IFAC-PapersOnLine. 2016; 49(16): 330-335.

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Design and fabrication of cost-effective heart-rate pulse monitoring sensor system

  • 1. TELKOMNIKA, Vol.17, No.5, October 2019, pp.2497~2504 ISSN: 1693-6930, accredited First Grade by Kemenristekdikti, Decree No: 21/E/KPT/2018 DOI: 10.12928/TELKOMNIKA.v17i5.9926 ◼ 2497 Received May 19, 2018; Revised April 18, 2019; Accepted May 9, 2019 Design and fabrication of cost-effective heart-rate pulse monitoring sensor system Zulkhairi Mohd Yusof, Md Masum Billah*, Kushsairy Kadir, Nur Amanina, Nur Hidayah, Haidawati Nasir Universiti Kuala Lumpur (UniKL), Kuala Lumpur, Malaysia *Corrsponding author, e-mail: drmdmasum@unikl.edu.my Abstract A traditional approach of heart rate measurement has always meant that people must go to hospitals to examine the patient disease at Cardiologist and medical officer. Most people have difficult such as no transport and lazy to go to the hospital for the check-ups of their conditions heart rate. This is because, before have a treatment or medical check-up, they should do an appointment. Besides that, demands of works very high nowadays. People busy with their works until forget to do medical check-ups. Additionally, the available portable heart rate monitoring machine is costly to buy for all. In this research, we develop a system which can be accommodate for all while everyone can do their check up at home and do not waste their time by waiting for their turn in the hospital to do the medical check-ups. The prototype is built using low cost electronics components. The prototype can do a self-check-up before seeing a medical practitioner may reduce mortality rate due to the silent killer that is heart attacks. Keywords: cost-effective, heart failure, LED, pulse Copyright © 2019 Universitas Ahmad Dahlan. All rights reserved. 1. Introduction Pulses can be defined as the number of heart beats that beats per minute (bpm). The heart rate normally depends on the relaxation and contraction of the ventricles in the heart which have two large chambers. The function of the ventricle is to expel and collect blood to peripheral beds from atrium within the lungs and body. If the person did not get enough rest, the person heart rate will be too slow (bradycardia) or the heart rate will be fast (tachycardia) than the normal heart rate. This tachycardia happen cause the person exercise, stress, trauma or illness disease. The causes of bradycardia are when the heart does not get enough oxygen rich blood for the body. Bradycardia and tachycardia can be considered as health problem. First, place finger at the neck or wrist. Carotid pulse will be measure if the finger place at the neck but if the finger was place at the wrist, radial pulse will be measure. Normally, people use wrist to check the pulses. After placed the finger at the wrist or neck the person need to count over 10 seconds to estimate the beats per minutes and then multiply by 4. Repeat the same by count within 15 seconds and multiply by 4 and doubling the result. When use this method usually have an error of the pulses rate. This is because sometime, when we count, we can make mistakes. Figure 1 shows the manual checking of pulse rate. Figure 1. Manual method [1]
  • 2. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504 2498 Besides that, the monitor method also can be used in order to count the pulses. In this modern era technology, electrocardiogram (ECG) machines was usually use in the hospital. This is because electrocardiogram (ECG) is very expensive and only expert person can handle the machine cause it not easy to use. Nowadays with the modern technology, ECG also available applied in gadgets such watch and smartphone. Figure 2 shows the Holter monitor with ECG reading checking of pulse rate. Figure 2. Monitor method [2] Depolarization and re-polarization of myocardial cells is based on the electrical heart activity. To reach the atrioventricular node and to generate the contraction of atriums, the sinoatrial node (natural pacemaker) of electrical impulse will starts flowing through the atriums. Ventricular contractions will be generates by currents that flows, the current will flows through the Hiz Bundle and then reaches the ventricles. The heart tissue occur re-polarization and Punkinje fibers will be reaches by the currents. Figure 3 shows the behaviour Myocarduim electrical activity. Figure 3. Myocardium electrical activity [3] Figure 3 shows the heart behaviour with the QRS complex which means the part of the generated signal 1. Atrium begins to depolarize. 2. Atrium depolarizes. 3. Ventricles begin to depolarize at apex. Atrium repolarizes. 4. Ventricles depolarize. 5. Ventricles begin to repolarize at apex. 6. Ventricles repolarize
  • 3. TELKOMNIKA ISSN: 1693-6930 ◼ Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof) 2499 The word Greek electro have been derived, this is because it related to electrical activity. This word related to the meaning of heart, cardio and graph. Santorio Santorri was the first person that invented the pulsilogium which is a form of pendulum to measure accurately the pulse rate based on Galileo Galilei work. De Lacroix, physician after a century later used to test cardiac function by used pulsilogium [4]. In 1872 at St Bartholomew’s hospital, the patient’s heartbeat which has a fever was attached to the Alexander Munirhead [5]. This is because, he wants to obtain a record a patient’s heart beat and he was studying his Doctor of Science. British physiologist, John Burdon Sanderson use Lippmann capillary electrometer to record the result [6]. Augustus Walker from St Mary’s hospital in Paddigton, London was the first on that that approach electrical view of heart.He used Lippmann capillary electrometer electrocardiograph to fix the projector. His project allows heartbeat to be record in real time without any problem. His work project still be used in 1911 [7]. However, currently modern heart rate monitoring sensory systems are widely developed considering smart design and cloud-based system [8-13]. All these sensory systems are adequately connected with cloud server [14-20]. A realtime data transmission is also used to monitor the patient condition for online diagnosis purpose [21-25]. Therefore, these inspirations come to develop a realtime basis heart monitoring system. 2. Designs and Fabrication Process Figure 4 shows the block of the whole concept and function for the pulses rate measurement in this work. This block diagram is made to understand the process implement in this project. The block diagram consist of four part which are the sensor (IR diode and Photodiode), the amplifier and filter, the microcontroller and the output (7 segment with LED). In this project, it have used the sensor which called infrared light-emitting-diode (IR diode) which is Transceiver and Photodiode (Receiver). IR diode will transmit the reading of the pulses and infrared light to the fingertip .The infrared light will reflected by the blood cells. Photodiode will receive the infrared light from IR diode and reflected it back to the fingertip. The little change in amplitude with the proper signal conditioning will reflected light and convert it into pulses. IR diode (Transceiver) Photo diode (Receiver) Amplifier and filter PIC16F628A Microcontroller 7 SEGMENT LED Figure 4. Block diagram of the pulses rate measurement We design by used active low pass filter with two operational amplifier (Op-Amps) which are a two-stage and high gain which the function are to amplify and filter the appropriate voltage level from signal so that the pulses can be counted by using microcontroller. The active filter will amplify the signal and passing the certain selected frequencies. The AC voltage source will connected to the resistor R3 while the capacitor C1 will goes to the ground. Figure 5 shows the active low pass filter. With the used of microcontroller it will determine the pulses of heart beat. First, we want to make the project by using the results of the pulses will be display on 3 digit 7 segment with the shift of the LED.
  • 4. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504 2500 Figure 5. Active low pass filter [8] 2.1. Schematic Diagram When the start button was pressed up, the pulses of clock start to operate as the input. The clock was placed over the IR diode (Transmitter/Tx) and Photodiode (Receiver/Rx). The sensor will configure the clock pulse by using IR diode and Photodiode. When the sensor detect the pulse of the clock, it will read the signal clock pulses rate, the signal from the sensor will be transferred and transmit to the PIC microcontroller. It read the clock pulse through the PIC16F628A. The pulse will be counted from the clock and send it to the PIC microcontroller. If the pulses is failed to detect by the sensor and the pulses do not display and show an error, the frequency of the clock pulse must be changed. When the clock pulse process by the PIC microcontroller, the results of the pulses will display on the 7 segment and the LED will shift. Figure 6 shows the schematic diagram that we designed in Proteus. Before we start construct the prototype, we designed the circuit in to check whether the connection is correct or not as shown in Figure 7. Then we change the design in Proteus to ARES to print the layout. Figure 6. Schematic diagram in proteus
  • 5. TELKOMNIKA ISSN: 1693-6930 ◼ Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof) 2501 Figure 7. Design schematic in Proteus 2.2. PCB in the Making Firstly, print laser ink the PCB layout on glossy paper that had been design on the ARES software. The PCB layout must be in laser ink so it easy the layout sticks when iron on the PCB Board. Then, place neatly the printed PCB layout on the PCB board. After that, iron the PCB layout on the PCB board based as shown in Figure 8. After iron the layout on the PCB board, we soaked the PCB board in the acid powder and add up some warm water. This Figure 9 shows etching process. The function of this etching process is to remove the copper layer on the board and the layout stick on the PCB Board. Be careful handling the acid. After the copper remove, wash it with water and brush the PCB layout. Lastly, we can see the copper shaped layout in Figure 9. After finished drill the PCB board, place and construct the correct component on the PCB board. Construct the component based on the simulation to avoid misplaced the component. Then, solder the component by using solder iron and solder lead with care as shown in Figure 10. If the circuit does not working properly, troubleshoot and check the circuit until it working well. As Figure 11 shows that the 7 segment not well function and we need to troubleshoot this circuit. To make it look more proper and beautiful, we make casing for the pulse rate measurement project by using box. We place the circuit neatly on the box as shown in Figure 12. Figure 8. Iron the PCB board Figure 9. Etching process
  • 6. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504 2502 Figure 10. Construct and solder component Figure 11. Troubleshoot circuit Figure 12. Casing for pulse rate measurement 3. Results and Discussions During developing the prototype, two diodes were separated and covered by black rubber. At first, press the on switch, the prototype will initialize and the 7 segment will display 000. Next, waited until the 7 segment turn off, and put your index finger on the hole which that insert IR diode and Photodiode as shown in Figure 13 (a). The index finger will put on the IR diode and Photo diode because the index finger is so sensitive and it can easily read the pulse rate. Press the start button to start the project counted the pulse rate as shown in Figure 13 (b). Figure 13 (c) shows the pulse rate beat per minute will displayed on the 7 segment. (a) (b) (c) Figure 13. (a) Place finger (b) press start button (c) display result (072 BPM)
  • 7. TELKOMNIKA ISSN: 1693-6930 ◼ Design and fabrication of cost-effective heart-rate.... (Zulkhairi Mohd Yusof) 2503 To check other person’s pulse rate, press the reset button to make sure that the pulse rate before will be clear. Figure 14 shows the graph based on result Table 1 that the age of the subject and the pulse rate. For x-axis its shows the age of the subject and for y-axis its shows the pulse rate. The average for the person that have been test this pulse rate measurement project is age 19-24. The maximum pulse rate for the subject is 108 and the minimum pulse rate is 70. We can conclude that the pulse rate depend with the condition of the subject. Figure 14. Graph of results for this pulse rate measurement Table 1. Results for this Pulse Rate Measurement Person Gender Age Pulse rate Condition Abidah Girl 19 108 Active Adilah Girl 20 68 Normal Shazleen Girl 23 72 Normal Hanun Girl 21 70 Normal Kamal Boy 24 114 Active Farid Boy 19 118 Active Hisham Boy 20 70 Normal Abdullah Boy 19 69 Normal 4. Conclusion The pulse rate measurement was a low-cost microcontroller prototype that had been successfully built and developed. This is because; the cost of this pulse rate measurement prototype is USD 7.00. This project is very reasonable and affordable. Besides that, the project can be used at home to measure the pulse rate easily, efficient and safely without need to make an appointment with the hospital or spending a lot of money to buy existing expensive pulse rate. This work is ergonomic, portable, durable, and cost effective (reasonable and affordable). References [1] http://running.competitor.com/2014/06/training/think-youre-overtraining-check-your-pulse_63593. 2018. [2] http://www.advancedcardio.com/services-holter-event-monitoring.html. 2018. [3] Chirakanphaisarn N, Thongkanluang T, Chiwpreechar Y. Heart rate measurement and electrical pulse signal analysis for subject’s span of 20–80 years. Journal of Electrical Systems and Information Technology. 2016. [4] Barbeito A, Mark JB. Arterial and central venous pressure monitoring. Anesthesiology Clinics of North America. 2006; 24(4): 717-35. [5] https://www.engineersgarage.com/electronic-components/7805-voltage-regulator-ic. 2018. [6] https://www.lazada.com.my/usb-pic-automatic-programming-develop-microcontroller-programmer. 2018.
  • 8. ◼ ISSN: 1693-6930 TELKOMNIKA Vol. 17, No. 5, October 2019: 2497-2504 2504 [7] Yunus M, Talib A, Khan A. Designing a 3-lead cost effective ECG recording glove for home monitoring. Bioscience and Engineering: An International Journal (BIOEJ). 2014; 1(1): 45-56. [8] Nims J, Capozzi M, Hailey MB, Crankson K, inventors; Nike Inc, assignee. Athletic performance monitoring system utilizing heart rate information. United States patent US 9,895,096. 2018. [9] Martinek R, Nedoma J, Fajkus M, Kahankova R, Konecny J, Janku P, Kepak S, Bilik P, Nazeran H. A phonocardiographic-based fiber-optic sensor and adaptive filtering system for noninvasive continuous fetal heart rate monitoring. Sensors. 2017; 17(4): 890. [10] Mallya R, Kothari S, Mehta N. Requirements model for adaptive information system for woman health monitoring system. 2018 International Conference on Communication information and Computing Technology (ICCICT). 2018: 1-6. [11] Lin Z, Chen J, Li X, Zhou Z, Meng K, Wei W, Yang J, Wang ZL. Triboelectric nanogenerator enabled body sensor network for self-powered human heart-rate monitoring. ACS nano. 2017; 11(9): 8830-7. [12] Whitfield JM, inventor. Heart rate and pulse monitoring device. United States patent application US 15/828,753. 2018. [13] Hussein AF, Kumar A, Burbano-Fernandez M, Ramirez-Gonzalez G, Abdulhay E, de Albuquerque VH. An Automated Remote Cloud-Based Heart Rate Variability Monitoring System. IEEE Access. 2018; 6: 77055-77064. [14] Cadmus BL, Gangnon R, Wirkus EJ, Thraen BKM, Gorzelitz LJ. The accuracy of heart rate monitoring by some wrist-worn activity trackers. Annals of internal medicine. 2017; 166(8): 610-2. [15] Kocabas O, Soyata T, Couderc JP, Aktas M, Xia J, Huang M. Assessment of cloud-based health monitoring using homomorphic encryption. 2013 IEEE 31st International Conference on Computer Design (ICCD). 2013: 443-446. [16] Yang Z, Zhou Q, Lei L, Zheng K, Xiang W. An IoT-cloud based wearable ECG monitoring system for smart healthcare. Journal of medical systems. 2016; 40(12): 286. [17] Hassanalieragh M, Page A, Soyata T, Sharma G, Aktas M, Mateos G, Kantarci B, Andreescu S. Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: Opportunities and challenges. 2015 IEEE International Conference on Services Computing. 2015: 285-292. [18] Bourouis A, Feham M, Bouchachia A. A new architecture of a ubiquitous health monitoring system: a prototype of cloud mobile health monitoring system. arXiv preprint arXiv:1205.6910. 2012. [19] Chen M, Ma Y, Li Y, Wu D, Zhang Y, Youn CH. Wearable 2.0: Enabling human-cloud integration in next generation healthcare systems. IEEE Communications Magazine. 2017; 55(1): 54-61. [20] Jindal V. Integrating mobile and cloud for PPG signal selection to monitor heart rate during intensive physical exercise. Proceedings of the International Conference on Mobile Software Engineering and Systems. 2016: 36-37. [21] Babu S, Chandini M, Lavanya P, Ganapathy K, Vaidehi V. Cloud-enabled remote health monitoring system. 2013 International Conference on Recent Trends in Information Technology (ICRTIT). 2013: 702-707. [22] Melillo P, Orrico A, Scala P, Crispino F, Pecchia L. Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients. Journal of medical systems. 2015; 39(10): 109. [23] Alam MG, Cho EJ, Huh EN, Hong CS. Cloud based mental state monitoring system for suicide risk reconnaissance using wearable bio-sensors. Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. 2014: 56. [24] Sailunaz K, Alhussein M, Shahiduzzaman M, Anowar F, Al Mamun KA. CMED: Cloud based medical system framework for rural health monitoring in developing countries. Computers & Electrical Engineering. 2016; 53: 469-481. [25] Tan L. Cloud-based decision support and automation for precision agriculture in orchards. IFAC-PapersOnLine. 2016; 49(16): 330-335.