Skip to main content

A Secured IoT-Based Health Care Monitoring System Using Body Sensor Network

  • Conference paper
  • First Online:
Emergent Converging Technologies and Biomedical Systems

Abstract

Nowadays, the advancement in technology is seen replacing the existing methodologies with the intelligent ones in the modern health care system. The main perspective of this proposed work is to monitor the vital parameters of the patient continuously, which is very helpful in controlling chronic diseases. In this paper, an emphasized version of fall recognition is introduced to monitor the stance of a senior citizen or a physically handicapped. Along with this, breathing, heartbeat, and temperature of a person are also monitored to know the patient condition. The sensing elements in this work are temperature sensor (LM35), sound sensor, microelectromechanical system (MEMS) sensor, and pulse sensor, these sensor parameters are given to Raspberry Pi and it will communicate with the cloud, where the monitored data are stored. Whenever an abnormal value is observed, Twilio will send SMS to the mobile of caretaker or doctor.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Bibliography

  1. Ambatkar SK (2015) Implementation of healthcare monitoring system using Raspberry Pi. In: Communications & signal processing (ICCSP). IEEE, pp 1083–1086

    Google Scholar 

  2. Anuradha Kumari V (2011) Embedded intensive health care unit, pp 169–176

    Google Scholar 

  3. Jimenez RT (2015) Building an IoT aware health-care monitoring system. In: International conference of Chilean computer science society. Santiago, pp 1–4. https://doi.org/10.1109/SCCC.2015.7416592

  4. Jayashree K, Babu R (2015). A survey on the role of IoT and cloud in health-care. Int J Sci EngTechnol Res 04:2217–2219

    Google Scholar 

  5. Jaiswal K, Sobhanayak S, Mohanta B, Jena D (2017) IoT-cloud based framework for patient's data collection in smart healthcare system using raspberry-pi” Computer Science. In: International conference on electrical and computing technologies and applications (ICECTA)

    Google Scholar 

  6. Rahmani AM et al (2015) Smart e-health gateway: bringing intelligence to Internet-of-Things based ubiquitous healthcare systems. In: Consumer communications and networking conference (CCNC), 12th Annual IEEE. Las Vegas, NV, 2015, pp 826–834

    Google Scholar 

  7. Catarinucci L et al (2015) An IoT-aware architecture for smart healthcare systems. In: IEEE Internet of Things J 2(6):515–526

    Google Scholar 

  8. Xu B, Xu L, Cai H, Xie C, Hu J, Bu F (2014) Ubiquitous data accessing method in IoT-based information system for emergency medical services” Computer Science. IEEE Trans Indus Inform

    Google Scholar 

  9. Rohokale VM, Prasad NR, Prasad R (2011) A cooperative Internet of Things (IoT) for rural healthcare monitoring and control. In: 2nd international conference on wireless communication, vehicular technology, information theory and aerospace & electronic systems technology (Wireless VITAE). Chennai, pp 1–6

    Google Scholar 

  10. Joephine Selvarani S (2011) Online health monitoring system. Int J Comput Sci Eng 3(4)

    Google Scholar 

  11. Hartalkar A, Kulkarni V, Nadar A, Johnraj J, Kulkarni RD (2020) Design and development of real time patient health monitoring system using Internet of Things

    Google Scholar 

  12. Feng G (2006) A survey on analysis and design of model-based fuzzy control systems. IEEE Trans Fuzzy Syst 14(5):676–697

    Article  Google Scholar 

  13. Marci Meingast TR (2006) Security & privacy issues with health care information technology. IEEE

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Priyanka, J.S., Kiran, M.S., Nalla, P. (2022). A Secured IoT-Based Health Care Monitoring System Using Body Sensor Network. In: Marriwala, N., Tripathi, C.C., Jain, S., Mathapathi, S. (eds) Emergent Converging Technologies and Biomedical Systems . Lecture Notes in Electrical Engineering, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-16-8774-7_39

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-8774-7_39

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8773-0

  • Online ISBN: 978-981-16-8774-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics