Analysis of Vital Signs through a Smart Heart Beat Technique Based on Arduino
| Authors | A. Buragohain1, A.K. Raibaruah1, R. Patowary2, T. Narzary1, H. Sharma1, I. Mallick1 |
| Affiliations |
1Central Institute of Technology Kokrajhar, Department of Instrumentation Engineering, 783370, India 2Central Institute of Technology Kokrajhar, Department of Computer Science and Engineering, 783370, India |
| Е-mail | ak.raibaruah@cit.ac.in |
| Issue | Volume 16, Year 2024, Number 5 |
| Dates | Received 08 June 2024; revised manuscript received 15 October 2024; published online 30 October 2024 |
| Citation | A. Buragohain, A.K. Raibaruah, et al., J. Nano- Electron. Phys. 16 No 5, 50017 (2024) |
| DOI | https://doi.org/10.21272/jnep.16(5).05017 |
| PACS Number(s) | 87.85.Ox |
| Keywords | Heart rate, Pulse (20) , ECG, Arduino (4) , Oxygen level. |
| Annotation |
The work reports an analysis of vital signs of human beings through a smart heart beat and pulse monitoring system based on Arduino device. Vital signs include heart rate, pulse monitoring and oxygen level of a human being. The system contribute improvements in individual’s healthcare out-comes. AD8232 ECG sensor is used through Arduino Mega which amplify and filters the ECG signals obtained from the electrodes. Arduino Mega is powered by 5 V supply voltage. ECG sensor uses 3 cables which has disposable patches and connected to the chest of human being to capture bioelectric signals. Hence, heart rate and pulse of a human being has been monitored. An additional capacitive filter circuit is used Furthermore, MAX30102 sensor have been used to determine the oxygen level of a person. The results obtained from the study provides a good accuracy. The heart rate varies as per the age of human being. The oxygen accuracy level falls in the range of 95% to 100%. |
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