Skip to main content

Advertisement

SpringerLink
Log in

Vital Sign Monitoring System for Healthcare Through IoT Based Personal Service Application

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The most burning issues worldwide at present are the availability, accessibility, and affordability of the equitable healthcare services for all. It is getting more severe for developing countries due to increasing population and chronic diseases. The emerging technological interventions in the field of Internet of Things (IoT)-based healthcare systems are a promising solution to meet the general public's healthcare needs. Therefore, an IoT-enabled vital sign monitoring system has been presented in this paper. The presented system can monitor various vital signs in real-time and store the recorded trends locally. The system can also send the data into cloud for further analysis. Abnormality detection with alert notification and automatic calculation of early warning score has been implemented. An Android application is developed to store the vital signs records on a personal server to avoid the burden and maintenance cost of the central medical server. The presented system is straightforward, compact, portable and easy to operate through personal service application. Also, the presented system is compared with the most recent work available in the field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data Availability Statement

Data collected in this study will be available on request for academic and research purpose only.

References

  1. Pathinarupothi, R. K., Durga, P., & Rangan, E. S. (2019). IoT-based smart edge for global health: Remote monitoring with severity detection and alerts transmission. IEEE Internet of Things Journal, 6(2), 2449–2462. https://doi.org/10.1109/JIOT.2018.2870068

    Article  Google Scholar 

  2. Sailunaz, K., Alhussein, M., Shahiduzzaman, M., Anowar, F., & Al Mamun, K. A. (2016). CMED: Cloud based medical system framework for rural health monitoring in developing countries. Computers & Electrical Engineering, 53, 469–481. https://doi.org/10.1016/j.compeleceng.2016.02.005

    Article  Google Scholar 

  3. Kadhim, K. T., Alsahlany, A. M., Wadi, S. M., & Kadhum, H. T. (2020). An overview of patient’s health status monitoring system based on internet of things (IoT). Wireless Personal Communications. https://doi.org/10.1007/s11277-020-07474-0

    Article  Google Scholar 

  4. Rodrigues, J. J. P. C., et al. (2018). Enabling technologies for the internet of health things. IEEE Access, 6, 13129–13141. https://doi.org/10.1109/ACCESS.2017.2789329

    Article  Google Scholar 

  5. Baker, S., Xiang, W., & Atkinson, I. (2017). Internet of things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access, 5, 1–1. https://doi.org/10.1109/ACCESS.2017.2775180

    Article  Google Scholar 

  6. Sahu, M., Atulkar, M., & Ahirwal, M. K. (2021). IoT based smart healthcare system: A review on constituent. Journal of Circuits, Systems and Computers. https://doi.org/10.1142/S0218126621300087

    Article  Google Scholar 

  7. Care, S. H. (2018). Everything you wanted to know about smart health. IEEE Consumer Electronics Magazine. https://doi.org/10.1109/MCE.2017.2755378

    Article  Google Scholar 

  8. Fanucci, L., et al. (2013). Sensing devices and sensor signal processing for remote monitoring of vital signs in CHF patients. IEEE Transactions on Instrumentation and Measurement, 62(3), 553–569. https://doi.org/10.1109/TIM.2012.2218681

    Article  Google Scholar 

  9. Vilic, A., Sørensen, H. B. D., Kjaer, T. W., Petersen, J. A. (2017). Vital signs monitoring and interpretation for critically ill patients.

  10. Mcgrath, S. P., Perreard, I. M., Garland, M. D., Converse, K. A., & Mackenzie, T. A. (2019). Improving patient safety and clinician workflow in the general care setting with enhanced surveillance monitoring. IEEE Journal of Biomedical and Health Informatics, 23(2), 857–866.

    Article  Google Scholar 

  11. Fan, Y., Xu, P., Jin, H., Ma, J., & Qin, L. (2019). Vital sign measurement in telemedicine rehabilitation based on intelligent wearable medical devices. IEEE Access, 7, 54819–54823. https://doi.org/10.1109/ACCESS.2019.2913189

    Article  Google Scholar 

  12. Sahu, M., Atulkar, M., & Ahirwal, M. K. (2020). Comprehensive investigation on IoT based Smart HealthCare System. In: IEEE international conference ICPC2T, Vol. 8, no. 5, pp. 33–37. doi: https://doi.org/10.17148/ijarcce.2019.8508.

  13. Parekh, M., & Saleena, B. (2015). Designing a cloud based framework for healthcare system and applying clustering techniques for region wise diagnosis. Procedia Computer Science, 50, 537–542. https://doi.org/10.1016/j.procs.2015.04.029

    Article  Google Scholar 

  14. Gelogo, Y. E., & Kim, H. K. (2015). Integration of wearable monitoring device and android smartphone apps for u-healthcare monitoring system. International Journal of Software Engineering & Applications, 9(4), 195–202. https://doi.org/10.14257/ijseia.2015.9.4.20

    Article  Google Scholar 

  15. Banos, O., Villalonga, C., Damas, M., Gloesekoetter, P., Pomares, H., & Rojas, I. (2014). PhysioDroid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring. The Scientific World Journal. https://doi.org/10.1155/2014/490824

    Article  Google Scholar 

  16. Vaidya, A. S., Srinivas, M. B., Himabindu, P., Jumaxanova, D. (2013). A smart phone/tablet based mobile health care system for developing countries. In: Proceeding annual international conference of the IEEE engineering in medicine and biology society EMBS, pp. 4642–4645. doi: https://doi.org/10.1109/EMBC.2013.6610582.

  17. Ravikumar, N., Metcalfe, N. H., Ravikumar, J., & Prasad, R. (2016). Smartphone applications for providing ubiquitous healthcare over cloud with the advent of embeddable implants. Wireless Personal Communications, 86(3), 1439–1446. https://doi.org/10.1007/s11277-015-2999-5

    Article  Google Scholar 

  18. Baig, M. M., Hosseini, H. G., & Luo, D. H. (2014). A secure wireless telehealthcare monitoring system and its web application. Applied Mechanics and Materials, 541–542, 1309–1312.

    Article  Google Scholar 

  19. Lewandowski, J. P. (2015). Mobile application of artificial intelligence to vital signs monitoring: Multi parametric, user adaptable model for ubiquitous well-being monitoring. Coventry University

  20. Varma, D., Shete, V. V., & Somani, S. B. (2015). Development of home health care self monitoring system. International Journal of Advanced Research in Computer and Communication Engineering, 4(6), 252–255. https://doi.org/10.17148/IJARCCE.2015.4654

    Article  Google Scholar 

  21. Song, Y., Hong, S., & Pak, J. (2015). Empowering patients using cloud based personal health record system. In: 2015 IEEE/ACIS 16th international conference on software engineering, artificial intelligence, networking and parallel/distributed computing (SNPD) (pp. 1–6). https://doi.org/10.1109/SNPD.2015.7176216.

  22. Zhu, N., et al. (2015). Bridging e-Health and the Internet of Things: The SPHERE project. IEEE Intelligent Systems, 30(4), 39–46. https://doi.org/10.1109/MIS.2015.57

    Article  Google Scholar 

  23. Rahmani, A. M., et al. (2018). Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.02.014

    Article  Google Scholar 

  24. Ludikhuize, J., Smorenburg, S. M., de Rooij, S. E., & de Jonge, E. (2012). Identification of deteriorating patients on general wards; measurement of vital parameters and potential effectiveness of the modified early warning score. Journal of Critical Care, 27(4), 424.e7-424.e13. https://doi.org/10.1016/j.jcrc.2012.01.003

    Article  Google Scholar 

  25. Pantelopoulos, A., & Bourbakis, N. G. (2010). A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications and Reviews, 40(1), 1–12. https://doi.org/10.1109/TSMCC.2009.2032660

    Article  Google Scholar 

  26. Wang, Z., Yang, Z., & Dong, T. (2017). A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time. Sensors. https://doi.org/10.3390/s17020341

    Article  Google Scholar 

  27. Khan, Y., Ostfeld, A. E., Lochner, C. M., Pierre, A., & Arias, A. C. (2016). Monitoring of vital signs with flexible and wearable medical devices. Advanced Materials, 28(22), 4373–4395. https://doi.org/10.1002/adma.201504366

    Article  Google Scholar 

  28. Husain, M. D., & Kennon, R. (2013). Preliminary investigations into the development of textile based temperature sensor for healthcare applications. Fibers, 1(1), 2–10. https://doi.org/10.3390/fib1010002

    Article  Google Scholar 

  29. Kumar, P. M., & Gandhi, U. D. (2018). A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases. Computers & Electrical Engineering, 65, 222–235. https://doi.org/10.1016/j.compeleceng.2017.09.001

    Article  Google Scholar 

  30. Sahu, M. L., Atulkar, M., Ahirwal, M. K., & Ahamad, A. (2021). IoT-enabled cloud-based real-time remote ECG monitoring system. Journal of Medical Engineering & Technology. https://doi.org/10.1080/03091902.2021.1921870

    Article  Google Scholar 

  31. Li, J., Zhou, H., Zuo, D., Hou, K. M., & De Vaulx, C. (2014). Ubiquitous health monitoring and real-time cardiac arrhythmias detection: A case study. BioMedical Materials and Engineering, 24(1), 1027–1033. https://doi.org/10.3233/BME-130900

    Article  Google Scholar 

  32. Larson, A. (2018). Clinical alarms management in the intermediate cardiology and cardiovascular intensive care units at the University of Iowa Hospital and Clinics, pp. 1–35.

  33. Klabunde, R. E. (2013). Cardiovascular physiology concepts, 2nd edn., Vol. 53. Lippincott Williams and Wilkins

  34. Schwartz, G., et al. (2013). Flexible polymer transistors with high pressure sensitivity for application in electronic skin and health monitoring. Nature Communications. https://doi.org/10.1038/ncomms2832

    Article  Google Scholar 

  35. Folke, M., Cernerud, L., Ekström, M., & Hök, B. (2003). Critical review of non-invasive respiratory monitoring in medical care. Medical & Biological Engineering & Computing, 41(4), 377–383. https://doi.org/10.1007/BF02348078

    Article  Google Scholar 

  36. Tsai, J. C., et al. (2021). Design and implementation of an internet of healthcare things system for respiratory diseases. Wireless Personal Communications, 117(2), 337–353. https://doi.org/10.1007/s11277-020-07871-5

    Article  Google Scholar 

  37. Lochner, C. M., Khan, Y., Pierre, A., & Arias, A. C. (2014). All-organic optoelectronic sensor for pulse oximetry. Nature Communications, 5, 1–7. https://doi.org/10.1038/ncomms6745

    Article  Google Scholar 

  38. Oximetry. Available online: http://www.oximetry.org/pulseox/, 2020.

  39. Ali, M. M., Haxha, S., Alam, M. M., Nwibor, C., & Sakel, M. (2020). Design of Internet of Things (IoT) and android based low cost health monitoring embedded system wearable sensor for measuring SpO2, heart rate and body temperature simultaneously. Wireless Personal Communications, 111(4), 2449–2463. https://doi.org/10.1007/s11277-019-06995-7

    Article  Google Scholar 

  40. Zhao, W., Luo, A., Peng, K., & Deng, X. (2009). System architecture of a wireless body area sensor network for ubiquitious health monitoring. The Journal of Control Theory and Applications, 7(1), 77–80. https://doi.org/10.1007/s11768-009-7028-3

    Article  Google Scholar 

  41. Sanghai berry. Available online: http://www.shberrymed.com/pm6750.

  42. STMicroelectronics (2011). STM32F103xC STM32F103xD STM32F103xE Datasheet, pp. 1–130. [Online]. Available: http://www.st.com/st-web-ui/static/active/en/resource/technical/document/datasheet/CD00191185.pdf.

  43. Des, G. (2019). Programmable System-on-Chip (PSoC). Online available : https://www.cypress.com/programmable-system-chip-psoc-and-microcontroller-forums

  44. BM77 (2015). Microchip-BM77SPPS3MC2-0007AA-datasheet, Vol. 5, pp. 1–28.

  45. Rohmetra, H., Raghunath, N., Narang, P., Chamola, V., Guizani, M., & Lakkaniga, N. R. (2021). AI-enabled remote monitoring of vital signs for COVID-19: Methods, prospects and challenges. Computing. https://doi.org/10.1007/s00607-021-00937-7

    Article  Google Scholar 

  46. Abdihalikov, S. P. & Ripka, D. S. (2020). Hardware and software medical complex monitoring of vital signs of the patient. In: 2020 IEEE conference of Russian young researchers in electrical and electronic engineering (EIConRus) (pp. 1456–1459). https://doi.org/10.1109/EIConRus49466.2020.9039487.

  47. Chen, H., et al. (2020). Design of an integrated wearable multi-sensor platform based on flexible materials for neonatal monitoring. In IEEE Access (Vol. 8, pp. 23732–23747). https://doi.org/10.1109/ACCESS.2020.2970469.

  48. Gondalia, A., Dixit, D., Parashar, S., Raghava, V., Sengupta, A., & Sarobin, V. R. (2018). IoT-based healthcare monitoring system for war soldiers using machine learning. Procedia Computer Science, 133, 1005–1013. https://doi.org/10.1016/j.procs.2018.07.075

    Article  Google Scholar 

  49. Sun, G., et al. (2018). Vital-SCOPE: Design and evaluation of a smart vital sign monitor for simultaneous measurement of pulse rate, respiratory rate, and body temperature for patient monitoring. Journal of Sensors. https://doi.org/10.1155/2018/4371872

    Article  Google Scholar 

  50. Yu, L., Chan, W. A. I. M. A. N., & Zhao, Y. (2018). Personalized health monitoring system of elderly wellness at the community level in Hong Kong. IEEE Access, 6, 35558–35567. https://doi.org/10.1109/ACCESS.2018.2848936

    Article  Google Scholar 

  51. Chen, M., Ma, Y., Li, Y., Wu, D., Zhang, Y., & Youn, C. (2017). Wearable 2.0: Enabling human-cloud integration in next generation healthcare systems. In IEEE Communications Magazine (Vol. 55, no. 1, pp. 54–61). https://doi.org/10.1109/MCOM.2017.1600410CM.

Download references

Funding

No funding was received for this research from any agency.

Author information

Authors and Affiliations

  1. Department of Computer Application, National Institute of Technology, Raipur, Raipur, Chhattisgarh, India

    Manju Lata Sahu & Mithilesh Atulkar

  2. Department of Computer Science and Engineering, Maulana Azad National Institute of Technology Bhopal, Bhopal, Madhya Pradesh, India

    Mitul Kumar Ahirwal

  3. Oracle Corporation, Bangalore, India

    Afsar Ahamad

Authors
  1. Manju Lata Sahu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mithilesh Atulkar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mitul Kumar Ahirwal
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Afsar Ahamad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mitul Kumar Ahirwal.

Ethics declarations

Conflict of interest

We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome. We confirm that the manuscript has been read and approved by all named authors and that there are no other persons who satisfied the criteria for authorship but are not listed. We further confirm that the order of authors listed in the manuscript has been approved by all of us.

Ethical Approval

It is hereby confirmed that any aspect of the work covered in this manuscript that has involved either experimental work or research involving human participants and/or animals has been conducted with the ethical approval of all relevant bodies of National Institute of Technology, Raipur, India.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sahu, M.L., Atulkar, M., Ahirwal, M.K. et al. Vital Sign Monitoring System for Healthcare Through IoT Based Personal Service Application. Wireless Pers Commun 122, 129–156 (2022). https://doi.org/10.1007/s11277-021-08892-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-08892-4

Keywords

Search

Navigation