IoT-TPMS

An innovation development of triangular patient monitoring system using medical internet of things

https://doi.org/10.53730/ijhs.v6nS5.10765

Authors

  • Logeshwaran J Research Scholar, Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore
  • Javid Ahmad Malik Ph. D, Department of Zoology, Guru Ghasidas Vishwavidhyalaya Bilaspur, Chattisgarh
  • Nirmal Adhikari Leeds Beckett University
  • Sidharth Srikant Joshi MDS Periodontology, Assistant Professor, Department of Periodontology, Aditya Dental College and Hospital, Beed Maharashtra
  • Pooja Bishnoi MDS, Department of Pedodontics

Keywords:

diseases, treatment, healthcare, emergency treatment, triangular method, medical IoT, sensor

Abstract

In general, the number of diseases is increasing in the current era. There is also a growing fear among the patients about the nature of the growing number of new diseases and their consequences. Thus the patients are interested in getting treatment from healthcares for minor physical problems. But factors such as lack of space in healthcares and lack of time for doctors make patients uncomfortable. Sometimes doctors recommend that patients come to the healthcare only for emergency treatment. In this paper, a triangular method is proposed which takes into account the needs of the patients, calculates the time management of the doctors and analyzes the facilities available in the healthcares. Designed with the help of medical IoT devices, efficient sensors fitted to patients' bodies monitor their physical condition. Furthermore based on this sensor information the doctor can provide the patient with the necessary instructions from where they were. These sensors send information directly to the healthcare when further emergency treatment is needed. Thus healthcares can make the necessary arrangements to provide the necessary treatments to the patient immediately.

Downloads

Download data is not yet available.

References

Ahmed, A., Khan, M. M., Singh, P., Batth, R. S., & Masud, M. (2022). IoT-based real-time patients vital physiological parameters monitoring system using smart wearable sensors. Neural Computing and Applications, 1-20.

Al Mudawi, N. (2022). Integration of IoT and Fog Computing in Healthcare Based the Smart Intensive Units. IEEE Access.

Annaram, K., & Venkatalakshmi, K. FRAMEWORK FOR TOUCHLESS PATIENT MONITORING SYSTEM INTEGRATING UWB RADAR AND INTERNET OF THINGS (IoT) FOR COVID19 PATIENTS. International Journal for Multiscale Computational Engineering.

Badole, M. M., Bagde, M. P., Madame, M. K., Ninawe, M. R., Wasnik, M. A., Baig, M. M., & Sawwasere, S. A Review on IoT Based Health Monitoring System.

Bedi, H. S., Wangdi, S., Kurmi, I., Kumar, S., & Singh, A. P. (2022, May). Health Monitoring System. In Futuristic Sustainable Energy & Technology: Proceedings of the International Conference on Futuristic Sustainable Energy &Technology (ICFSE, 2021), 19-20 September, 2021 (p. 21). CRC Press.

Bhardwaj, V., Joshi, R., & Gaur, A. M. (2022). IoT-based smart health monitoring system for COVID-19. SN Computer Science, 3(2), 1-11.

Dheeraj, N. G., Lingamaiah, S. C., Malleswaraiah, M., Gurunath, T., Jaipal, M., & Chaitanya, T. (2022). Patient Monitoring System using Internet of Things (IOT). Journal of Embedded Systems and Processing, 7(2), 18-24.

Hossain, M. J., Bari, M. A., & Khan, M. M. (2022, January). Development of an IoT Based Health Monitoring System for e-Health. In 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0031-0037). IEEE.

Islam, K., Alam, F., Zahid, A. I., Khan, M. M., & InamAbbasi, M. (2022). Internet of Things-(IoT-) Based Real-Time Vital Physiological Parameter Monitoring System for Remote Asthma Patients. Wireless Communications and Mobile Computing, 2022.

Jaishankar, B., Aiswarys, R. S., & Ramesh, S. M. (2022, March). Enhanced IoT-Assisted Wearable Data Analytics for Patient Monitoring and Healthcare Systems. In 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 2027-2032). IEEE.

Jamjoum, M., Abdelsalam, E., & Siouf, S. (2022, February). Smart Portable Patient Monitoring System. In 2022 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-4). IEEE.

Johri, A., Bhadula, S., Sharma, S., & Shukla, A. S. (2022). Assessment of factors affecting implementation of IoT based smart skin monitoring systems. Technology in Society, 68, 101908.

Kalam, M. A., & Udayakumar, R. (2023). Real-Time Patient Monitoring System and Security Using Internet Protocols for Medical Industry. In Information and Communication Technology for Competitive Strategies (ICTCS 2021) (pp. 677-691). Springer, Singapore.

Kamaludin, U. N. I., & Ramli, N. I. (2022). IoT Patient Monitoring System for COVID-19. Evolution in Electrical and Electronic Engineering, 3(1), 598-602.

Khan, M. M., Alanazi, T. M., Albraikan, A. A., & Almalki, F. A. (2022). IoT-Based Health Monitoring System Development and Analysis. Security and Communication Networks, 2022.

Lakshmi, M. J., Rani, G. U., & Reddy, B. S. (2022). Covid Patient Monitoring System for Self-Quarantine Using Cloud Server Based IoT Approach (No. 7543). EasyChair.

Logeshwaran, J., & Shanmugasundaram, R. N. (2019, December). Enhancements of Resource Management for Device to Device (D2D) Communication: A Review. In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 51-55). IEEE.

Logeshwaran, J., Rex, M. J., Kiruthiga, T., & Rajan, V. A. (2017, December). FPSMM: Fuzzy probabilistic based semi morkov model among the sensor nodes for realtime applications. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 442-446). IEEE

Malche, T., Tharewal, S., Tiwari, P. K., Jabarulla, M. Y., Alnuaim, A. A., Hatamleh, W. A., & Ullah, M. A. (2022). Artificial Intelligence of Things-(AIoT-) Based Patient Activity Tracking System for Remote Patient Monitoring. Journal of Healthcare Engineering, 2022.

Mushi, R., Ningasani, S. S., Sudarshan, M. B., & Roopa, M. DEVELOPMENT OF SMART HEALTH CARE MONITORING SYSTEM USING IOT. Journal homepage: www. ijrpr. com ISSN, 2582, 7421.

Odusami, M., Misra, S., Abayomi-Alli, O., Olamilekan, S., & Moses, C. (2022). An Enhanced IoT-Based Array of Sensors for Monitoring Patients’ Health. In Intelligent Internet of Things for Healthcare and Industry (pp. 105-125). Springer, Cham.

Parameshwari, V., Nithya, A., Preetha, R., Ranjani, B., & Sumithra, S. (2022). An Efficient Patient Monitoring System for Healthcare Application Using Internet of Things. International Journal of Progressive Research in Science and Engineering, 3(04), 52-59.

Sabeena, P., Sheeri, U., & Mourya, D. (2022). Smart Patient Monitoring System. European Journal of Information Technologies and Computer Science, 2(2), 13-17.

Sahu, M. L., Atulkar, M., Ahirwal, M. K., & Ahamad, A. (2022). Cloud-Based Remote Patient Monitoring System with Abnormality Detection and Alert Notification. Mobile Networks and Applications, 1-16.

Saravanan, S., Kalaiyarasi, M., Karunanithi, K., Karthi, S., Pragaspathy, S., & Kadali, K. S. (2022). Iot Based Healthcare System for Patient Monitoring. In IoT and Analytics for Sensor Networks (pp. 445-453). Springer, Singapore.

Sharma, D., & Singh, J. (2022). A Comparative Analysis of Healthcare Monitoring Systems Using WSN. ECS Transactions, 107(1), 8695.

Stone, D., Michalkova, L., & Machova, V. (2022). Machine and Deep Learning Techniques, Body Sensor Networks, and Internet of Things-based Smart Healthcare Systems in COVID-19 Remote Patient Monitoring. American Journal of Medical Research, 9(1), 97-112.

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Health and treatment of diabetes mellitus. International Journal of Health Sciences, 5(1), i-v. https://doi.org/10.53730/ijhs.v5n1.2864

Tallapragada, V. V., Kullayamma, I., Kumar, G. V., & Venkatanaresh, M. (2022). Significance of Internet of Things (IoT) in Health Care with Trending Smart Application. In Smart Systems: Innovations in Computing (pp. 237-245). Springer, Singapore.

Tilyakov, H. A., Valiyev, E. Y., Tilyakov, A. B., & Tilyakov, A. B. (2021). A new approach to surgical treatment of victims with pelvic and femoral fracture injuries, taking into account the severity of the condition and the severity of the injury. International Journal of Health & Medical Sciences, 4(3), 338-346. https://doi.org/10.31295/ijhms.v4n3.1763

Yempally, S., Singh, S. K., & Velliangiri, S. (2022). Analytical review on deep learning and IoT for smart healthcare monitoring system. International Journal of Intelligent Unmanned Systems, (ahead-of-print).

Published

18-07-2022

How to Cite

Logeshwaran, J., Malik, J. A., Adhikari, N., Joshi, S. S., & Bishnoi, P. (2022). IoT-TPMS: An innovation development of triangular patient monitoring system using medical internet of things. International Journal of Health Sciences, 6(S5), 9070–9084. https://doi.org/10.53730/ijhs.v6nS5.10765

Issue

Section

Peer Review Articles

Most read articles by the same author(s)