Development of a Miniature and Low-Cost IoT-Based Remote Health Monitoring Device
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Development of a Miniature and Low-Cost IoT-Based Remote Health Monitoring Device

Authors: Sreejith Jayachandran, Mojtaba Ghodsi, Morteza Mohammadzaheri

Abstract:

The modern busy world is running behind new embedded technologies based on computers and software meanwhile some people are unable to monitor their health condition and regular medical check-ups. Some of them postpone medical check-ups due to a lack of time and convenience while others skip these regular evaluations and medical examinations due to huge medical bills and hospital expenses. In this research, we present a device in the telemonitoring system capable of monitoring, checking, and evaluating the health status of the human body remotely through the internet for the needs of all kinds of people. The remote health monitoring device is a microcontroller-based embedded unit. The various types of sensors in this device are connected to the human body, and with the help of an Arduino UNO board, the required analogue data are collected from the sensors. The microcontroller on the Arduino board processes the analogue data collected in this way into digital data and transfers that information to the cloud and stores it there; the processed digital data are then instantly displayed through the LCD attached to the machine. By accessing the cloud storage with a username and password, the concerned person’s health care teams/doctors, and other health staff can collect these data for the assessment and follow-up of that patient. Besides that, the family members/guardians can use and evaluate these data for awareness of the patient's current health status. Moreover, the system is connected to a GPS module. In emergencies, the concerned team can be positioning the patient or the person with this device. The setup continuously evaluates and transfers the data to the cloud and also the user can prefix a normal value range for the evaluation. For example, the blood pressure normal value is universally prefixed between 80/120 mmHg. Similarly, the Remote Health Monitoring System (RHMS) is also allowed to fix the range of values referred to as normal coefficients. This IoT-based miniature system 11×10×10 cm3 with a low weight of 500 gr only consumes 10 mW. This smart monitoring system is manufactured for 100 GBP (British Pound Sterling), and can facilitate the communication between patients and health systems, but also it can be employed for numerous other uses including communication sectors in the aerospace and transportation systems.

Keywords: Embedded Technology, Telemonitoring system, Microcontroller, Arduino UNO, Cloud storage, GPS, RHMS, Remote Health Monitoring System, Alert system.

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References:


[1] A Tamilselvi, V., A Sribalaji, S., A Vigneshwaran, P., A Vinu, P., & A GeethaRamani, J. (2020). IoT-based health monitoring system. 2020 6th International conference on advanced computing and communication systems (ICACCS), IEEE.
[2] Akhila, V., Vasavi, Y., Nissie, K., & Rao, P. V. (2017). An IoT-based patient health monitoring system using Arduino Uno. International Journal of Research in Information Technology, 1(1), 1-9.
[3] Akram, P. S., Ramesha, M., Valiveti, S. A. S., Sohail, S., & Rao, K. T. S. S. (2021). IoT-based remote patient health monitoring system. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
[4] Clifton, L., Clifton, D. A., Pimentel, M. A., Watkinson, P. J., & Tarassenko, L. (2013). Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors. IEEE journal of biomedical and health informatics, 18(3), 722-730.
[5] Gopal, S. R., & Patan, S. (2019). Design and Analysis of Heterogeneous Hybrid topology for VLAN configuration. International journal of emerging trends in engineering research, 7(11), 487-491.
[6] Hamim, M., Paul, S., Hoque, S. I., Rahman, M. N., & Baqee, I.-A. (2019). IoT-based remote health monitoring system for patients and elderly people. 2019 International conference on robotics, electrical and signal processing techniques (ICREST).
[7] Ghodsi, M., et al., Development of Gasoline Direct Injector Using Giant Magnetostrictive Materials. IEEE Transactions on Industry Applications, 2017. 53(1): p. 521-529.
[8] Ghodsi, M., T. Ueno, and T. Higuchi, Improvement of magnetic circuit in levitation system using HTS and soft magnetic material. IEEE Transactions on Magnetics, 2005. 41(10): p. 4003-4005.
[9] Ghodsi, M., et al., Numerical modeling of iron yoke levitation using the pinning effect of high-temperature superconductors. 2007. 43(5): p. 2001-2008.
[10] Ghodsi, M., et al., Modeling and characterization of permendur cantilever beam for energy harvesting. Energy, 2019. 176: p. 561-569.
[11] Ghodsi, M., et al., Dynamic analysis and performance optimization of permendur cantilevered energy harvester. Smart Structures and Systems, 2019. 23(5): p. 421-428.
[12] Ismail, M.R., et al., Correction factor of lumped parameter model for linearly tapered piezoelectric cantilever. Journal of Intelligent Material Systems and Structures, 2022. 33(3): p. 474-488.
[13] Mirzamohamadi, S., et al., Novel contactless Hybrid Static Magnetostrictive Force-Torque (CHSMFT) sensor using Galfenol. Journal of Magnetism and Magnetic Materials, 2022. 553: p. 168969.
[14] Hoshyarmanesh, H., et al., Temperature Effects on Electromechanical Response of Deposited Piezoelectric Sensors Used in Structural Health Monitoring of Aerospace Structures. Sensors, 2019. 19(12): p. 2805.
[15] Ghodsi, M., et al., Analytical, numerical and experimental investigation of a giant magnetostrictive (GM) force sensor. Sensor Review, 2015.
[16] Karthik, B., Parameswari, L. D., Harshini, R., & Akshaya, A. (2018). Survey on IOT & Arduino-based patient health monitoring system. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(1), 1414-1417.
[17] Krishnan, D. S. R., Gupta, S. C., & Choudhury, T. (2018). An IoT-based patient health monitoring system. 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE).
[18] Live health monitor. http://www.livehealthmonitor.com/.
[19] Nicholson, P. (1995). Medical examinations for pilots. The postgraduate medical journal, 71(841), 649-652. .
[20] Patil, N., & Iyer, B. (2017). Using the Internet of Things (IoT), health monitoring and tracking system for soldiers. 2017 International Conference on Computing, Communication and Automation (ICCCA).
[21] Patil, A. (2017). IoT-based health care and patient monitoring system to predict medical treatment using data mining techniques: Survey. IJARCCE, 6 (3), 24–26. In.
[22] Philip, L., & Williams, F. (2019). Remote rural home-based businesses and digital inequalities: Understanding needs and expectations in a digitally underserved community. Journal of Rural Studies, 68, 306-318.
[23] Prasetyono, T. O., & Kusumastuti, N. (2019). Optimal time delay of epinephrine in one-per-mil solution to visualize operation field. Journal of Surgical Research, 236, 166-171.
[24] Sam, D., Srinidhi, S., Niveditha, V., Amudha, S., & Usha, D. (2020). Progressed iot based remote health monitoring system. International Journal of Control and Automation, 13(2s), 268-273.
[25] Sharma, N. (2017). India will need 2.07 million more doctors by 2030, says a study. In: Livemint.
[26] Stalin, T. S., & Abraham, A. (2020). IOT-Based Health Monitoring System and Telemedicine. International Research Journal of Engineering and Technology (IRJET), 7(03).
[27] https://thingspeak.com/login?skipSSOcheck=true.
[28] Tough, S. C., Newburn-Cook, C., Johnston, D. W., Svenson, L. W., Rose, S., & Belik, J. (2002). Delayed childbearing and its impact on population rate changes in lower birth weight, multiple births, and preterm delivery. Paediatrics, 109(3), 399-403.