KYHTQT.

GPRS Based Health Monitoring System

Năm XB 2023 Tạp chí / Hội thảo Lecture Notes in Networks and Systems Volume 848 Đơn vị KT&CN DOI / Link https://doi.org/10.1007/978-3-031-50818-9_7 ↗

Tác giả

Tóm tắt

The idea and prototype of an Internet of Things (IoT) based health monitoring gadget are introduced in this paper. We concentrate on leveraging the cloud and IoT to monitor temperature an coronary heart rate in real-time. This design can be utilized for the early diagnosis of heart illnesses given the rising number of cardiac patients throughout the world. Contrary to the majority of the current monitoring methods and systems, a variety of wireless technologies are available, but their range is constrained. IoT is being used in this session to monitor. There is no distance restriction with IoT. Through the internet, we can test a patient's coronary heart rate and temperature from anywhere. Our strategy involves using the cloud to track the temperature and heart rate in real time. Through the use of IoT technology, the recorded temperature and heart rate may be saved and instantly evaluated for prognosis and diagnosis. An integrated GPRS microcontroller on a single chip makes up the suggested hardware architecture for connecting to the internet.

Tài liệu tham khảo

[1] Evans, D.: The internet of things: how the next evolution of the internet is changing everything. CISCO White Pap. 1(2011), 1–11 (2011)

[2] Hiremath, S., Yang, G., Mankodiya, K.: Wearable internet of things: concept, architectural components and promises for person-centered healthcare. In: 2014 4th International Conference on Wireless Mobile Communication and Healthcare-Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), pp. 304–307. Athens, Greece (2014)

[3] Apostu, O., Hagiu, B., Paşca, S.: Wireless ECG monitoring and alarm system using ZigBee. In: 2011 7th International Symposium on Advanced Topics in Electrical Engineering (Atee) Bucharest, pp. 1−4 (2011)

[4] Mat Jubadi, W., Aisyah Mohd Sahak, S.F.: Heartbeat monitoring alert via SMS. In: 2009 IEEE Symposium on Industrial Electronics & Applications. pp. 1−5. Kuala Lumpur, Malaysia (2009)

[5] Motika, G., Prusty, A.: Wireless fetal heartbeat monitoring system using ZigBee and IEEE 802.15.4 standard. In: 2011 Second International Conference on Emerging Applications of Information Technology. pp. 83–86. Kolkata, India (2011)

[6] Mahalle, S.M., Ingole, P.V.: Design and implementation of wireless body area sensor network based health monitoring system. Int. J. Eng. Res. Technol. 2(6), 105–113 (2013)

[7] Kumar, D.M.: Healthcare monitoring system using wireless sensor network. Int. J. Adv. Netw. Appl. 4(1), 1497−1500 (2012)

[8] Ko, J., Lu, C., Srivastava, M.B., Stankovic, J.A., Terzis, A., Welsh, M.: Wireless sensor networks for healthcare. Proc. IEEE 98(11), 1947–1960 (2010)

[9] Islam, S.R., Kwak, D., Kabir, M.H., Hossain, M., Kwak, K.S.: The internet of things for health care: a comprehensive survey. IEEE access 3, 678–708 (2015)

[10] Darshan, K.R., Anandakumar, K.R.: A comprehensive review on usage of internet of things (IoT) in healthcare system. In: 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), pp. 132–136. Mandya, India (2015)

[11] Xingmei, X., Jing, Z., He, W.: Research on the basic characteristics, the key technologies, the network architecture and security problems of the internet of things. In: Proceedings of 2013 3rd International Conference on Computer Science and Network Technology, pp. 825–828. IEEE (2013)

[12] Rajendran, T., Sridhar, K.P.: Epileptic seizure classification using feed forward neural network based on parametric features. Int. J. Pharm. Res. 10(4), 189–196 (2018)

[13] Valsalan, P., Sankaranarayanan, K.: Design of adder circuit with fault tolerant technique for power minimization. Int. J. Appl. Eng. Res. 9(22), 16159–16168 (2014)

[14] Linklabs “IoT In Health Care: What You Should Know”, online [Available]: https://www.link-labs.com/blog/IoTin-healthcare

[15] Top 5 HIPAA Security Risks As Providers Migrate to the Cloud, [Online]: http://cloudtweaks.com/2013/05/top-5-hipaa-security-risks-as-providers-migrate-to-tthe-cloud/

[16] Thavasimuthu, R., Sridhar, K.P., Manimurugan, S.: Recent innovations in soft computing applications. Curr. Signal Transduct. Ther. 14(2), 129–130 (2019)

[17] Emayavaramban, G., Amudha, A., Rajendran, T., Sivaramkumar, M., Balachandar, K., Ramesh, T.: Identifying user suitability in sEMG based hand prosthesis using neural networks. Curr. Signal Transduct. Ther. 14(2), 158–164 (2019)

[18] Rizwan, P.: Design and development of low investment smart hospital using internet of things through innovative approaches. Biomed. Res. (0970–938X), 28(11) (2017)

[19] Hariraj, V., Khairunizam, W., Vikneswaran, V., Ibrahim, Z., Shahriman, A.B., et al.: Fuzzy multi-layer SVM classification of breast cancer mammogram images. Int. J. Mech. Eng. Technol. 9(8), 1281–1299 (2018)

[20] Hoang, Q.T., Minh, N.C., Tran, D.T.: Designing a remote monitoring system for lakes based on internet of things. In: Tran, D.T., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds.) Intelligent Systems and Networks. ICISN 2021. Lecture Notes in Networks and Systems, vol. 243. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-2094-2_2

[21] Prasad, D.S., Kabir, Z., Dash, A.K., Das, B.C.: Abdominal obesity, an independent cardiovascular risk factor in Indian subcontinent: a clinico epidemiological evidence summary. J. Cardiovasc. Dis. Res. 2(4), 199–205 (2011)

[22] Keerthivasan, S.S., M.B. GR, Rajendran, T.: Design of low intricate 10-bit current steering digital to analog converter circuitry using full swing GDI. Pak. J. Biotechnol. 14(Special II), 204–208 (2017)

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