Abstract
Arduino based Bluetooth-equipped pulse oximeter is a measurement device that uses near infrared spectroscopy to measure blood pressure, and is designed with the HC-05 Bluetooth module. It can be employed using a smart mobile application or hardware. The oximeter uses a I2C 16 * 2 display module, which is a parallel data converter chip that works seamlessly with the LCD display module. This chip can convert the I2C data into parallel data, which is required by the LCD display. The portable terminal uses a digital algorithm to determine the value of the oxygen saturation and the pulse rate, and it does so through the smart mobile app interface. The designed oximeter can help doctors to keep a time to time check on the patient’s pulse and Spo2 level from anywhere in the hospital via their mobile phones, which would especially be helpful to keep the doctors, nurses distant from the patients during any Pandemic. The paper presents a novel model of Arduino based Bluetooth Pulse Oximeter using sensors and Bluetooth module with its applications in various sectors.
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References
Communication Engineering: Pulse oximeter with Bluetooth interface. Int. J. Electr. Electron. Data Commun. 2(6), 100–103 (2014)
Minaie, A., Sanati-Mehrizy, R., Paredes, L.E., Morris, J.: Design of a Bluetooth-enabled wireless pulse oximeter. In: ASEE Annual Conference & Exposition (2019)
Morón, M., Luque, R., Casilari, E.: On the capability of smartphones to perform as communication gateways in medical wireless personal area networks. Sensors 4(1), 575–594 (2014)
Dai, Y., Luo, J.: Design of noninvasive pulse oximeter based on Bluetooth 4.0 BLE. In: Proceedings - 2014 7th International Symposium on Computational Intelligence and Design, vol. 1, no. 3, pp. 100–103 (2014)
Szakacs-Simon, P., Moraru, S., Perniu, L.: Pulse oximeter based monitoring system for people at risk. In: CINTI 2012 - 13th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings, pp. 415–419 (2012)
Aithal, A.: Wireless Sensor Platform for Pulse Oximetry (2015)
Pak, G., Park, K.: Advanced pulse oximetry system for remote monitoring and management. J. Biomed. Biotechnol. (2012)
Moron, M., Casilari, E., Luque, R., Gázquez, J.: A wireless monitoring system for pulse-oximetry sensors. In: Proceedings - 2005 Systems Communications, ICW 2005, Wireless - ICHSN 2005, High Speed Networks - ICMCS 2005, vol. 2005, pp. 79–84 (2005)
Louis, L.: Working principle of Arduino and using it as a tool for study and research. Int. J. Control Autom. Commun. Syst. 1(2), 21–29 (2016)
Rathod, K., Vatti, P., Nandre, M., Yenare, S.: Smart door security using Arduino and Bluetooth application. Int. J. Curr. Eng. Sci. Res. 4, 73–77 (2017)
Arunpradeep, N., Niranjana, G., Suseela, G.: Smart healthcare monitoring system using IoT. Int. J. Adv. Sci. Technol. 29(6), 2788–2796 (2020)
Shreya, S., Chatterjee, K., Singh, A.: A smart secure healthcare monitoring system with Internet of Medical Things. Comput. Electr. Eng. 101, 107969 (2022)
Motwani, A., Shukla, P., Pawar, M.: Ubiquitous and smart healthcare monitoring frameworks based on machine learning: a comprehensive review. Artif. Intell. Med. 134, 102431 (2022)
Sangeetha, T., Kumutha, D., Bharathi, D., Surendran, R.: Smart mattress integrated with pressure sensor and IoT functions for sleep apnea detection. Measur. Sens. 24, 100450 (2022)
Rahman, M., Hossain, G., Challoo, R., Rizkalla, M.: iRestroom: a smart restroom cyberinfrastructure for elderly people. Internet Things 19, 100573 (2022)
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Kaur, J., Sharma, A.K., Punia, D. (2023). Sensors Based Advanced Bluetooth Pulse Oximeter System. In: Sachdeva, S., Watanobe, Y., Bhalla, S. (eds) Big Data Analytics in Astronomy, Science, and Engineering. BDA 2022. Lecture Notes in Computer Science, vol 13830. Springer, Cham. https://doi.org/10.1007/978-3-031-28350-5_12
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