Skip to main content

Advertisement

SpringerLink
Log in

An IoT scheme based on wireless body area sensors for healthcare applications

  • Original Paper
  • Published:
Signal, Image and Video Processing Aims and scope Submit manuscript

Abstract

Between the collections of applications allowed by the IoT, smart and linked health care may be mainly vital. Networked sensors, either damaged on the body or entrenched in atmospheres, alter the assembly of wealthy info symptomatic of our physical and psychological health. For example, heart patient parameters such as BP, heart rate, and fetal activities regulate their health. In this paper, a coordinator node has been devoted to the patient's body to gather all the signals from the wireless sensors and direct them to the base station. The involved sensors on the patient's body form a WBAN, and they are talented in sensing the heart rate, BP, and so on. This scheme can notice the rough conditions and problems, alarm the patient, and direct a message to the clinician, ambulance, and family. The focal benefit of this scheme in the assessment of earlier systems is to decrease the energy consumption to extend the network period, speed up and encompass the statement coverage to upsurge the choice for enhancing patient superiority of lifetime. Here, we focus on the chances and tasks for WSN in understanding this idea of the longer term of health care.

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

Similar content being viewed by others

References

  1. Pantelopoulos, A., Bourbakis, N.G.: “A survey on wearable sensor-based systems for health monitoring and prognosis,” in IEEE transactions on systems, man, and cybernetics. Part C (Appl. Rev.) 40(1), 1–12 (2010)

    Google Scholar 

  2. Son, D., Lee, J., Qiao, S., Ghaffari, R., Kim, J., Kim, D.H.: Multifunctional Wearable Devices for Diagnosis and Therapy of Movement Disorders, Nature Nanotechnology, pp. 1–8 (2014)

  3. Paradiso, R., Loriga, G., Taccini, N.: A wearable health care system based on knitted integrated sensors. IEEE Trans. Info. Tech. Biomedicine 9(3), 337–344 (2005)

    Article  Google Scholar 

  4. Meneses, G., Lemos, J.D.: Implementing IEEE 802.15.4-Based Communications in Sensor Nodes Aimed for Biomedical Signal Monitoring. In: 2012 7th Colombian Computing Congress (CCC), pp. 1–6 (2012)

  5. Omeni, O., Wong, A.C.W., Burdett, A.J., Toumazou, C.: Energy efficient medium access protocol for wireless medical body area sensor networks. IEEE Trans. Biomed. Circuits Syst. 2(4), 251–259 (2008)

    Article  Google Scholar 

  6. Benharref, A., Serhani, M.A.: Novel Cloud and SOA-based framework for e-health monitoring using wireless biosensors. IEEE J. Biomed. Health Inform. 18(1), 46–55 (2014)

    Article  Google Scholar 

  7. Joshi, M., D, Pant.: Role of Cloud Enabled Data Center for Transforming E-Health Services in Uttarakhand. In: 2016 International Conference System Modeling & Advancement in Research Trends (SMART), pp. 209–212 (2016)

  8. McGregor, C.: A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays. In: 2021 IEEE Aerospace Conference (50100), pp. 1–14 (2021)

  9. Wahba, M.A., Ashour, A.S., Ghannam, R.: Prediction of harvestable energy for self-powered wearable healthcare devices: filling a gap. IEEE Access 8, 170336–170354 (2020)

    Article  Google Scholar 

  10. Sharma, P.K., Park, J., Park, J.H., Cho, K.: Wearable computing for defence automation: opportunities and challenges in 5G network. IEEE Access 8, 65993–66002 (2020)

    Article  Google Scholar 

  11. Zhou, Z., Yu, H., Shi, H.: Human activity recognition based on improved bayesian convolution network to analyze health care data using wearable IoT device. IEEE Access 8, 86411–86418 (2020)

    Article  Google Scholar 

  12. Lin, C., Chiu, W., Chen, F., Ho, Y., Chu, T., Hsieh, P.: Fall monitoring for the elderly using wearable inertial measurement sensors on eyeglasses. In IEEE Sens. Lett. 4(6), 1–4 (2020)

    Article  Google Scholar 

  13. Babu, S., Chandini, M., Lavanya, P., Ganapathy, K., Vaidehi, V.: Cloud-enabled remote health monitoring system. in ICRTIT, pp. 702–707. Chennai, India (2013). 1109/ICRTIT.2013.6844286

  14. Zhang, C., Wu, D., Sun, J., Sun, G., Luo, G., Cong, J.: Energy-efficient CNN implementation on a deeply pipelined FPGA cluster. In: Proceedings of the 2016 Inter. Sym. on Low Pow. Elect. and Des. pp. 326–331, New York, NY, USA (2016). https://doi.org/10.1145/2448096.2448105

  15. Mao, Y. Chen, and Bailey, T.: Medical data mining for early deterioration warning in general hospital wards. In: IEEE 11th ICDMW,pp. 1042–1049, Vancouver, BC, Canada (2011). https://doi.org/10.1109/ICDMW.2011.117

  16. Appathurai, A., Sundarasekar, R., Raja, C., Alex, E.J., Palagan, C.A., Nithya, A.: An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system. Cir. Syst. and Sig. Proc. 39(2), 734–756 (2020). https://doi.org/10.1007/s00034-019-01224-9

    Article  Google Scholar 

  17. Ramu, T., Suthendran, K., Arivoli, T.: Machine learning based soft biometrics for enhanced keystroke recognition system. Mult. Appl. 79(15), 10029–10045 (2020). https://doi.org/10.1007/s11042-019-7201-8

    Article  Google Scholar 

Download references

Funding

The authors received no specific funding for this study.

Author information

Authors and Affiliations

  1. Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, Hyderabad, India

    C. Anna Palagan

  2. Information and Technology Department, University of Technology and Applied Sciences-NCT, Nizwa, Sultanate of Oman

    Sanjai Gupta

  3. Electronics and Communication Engineering, Rohini College of Engineering and Technology, Kanyakumari District, Tamilnadu, India

    Anand J Dhas

  4. Business Studies, University of Technology and Applied Sciences Al Mussanah UTASA, Al-Musanna, Sultanate of Oman

    Shrikant Taware

  5. Information Technology, University of Technology and Applied Sciences Al Mussanah UTASA, Al-Musanna, Sultanate of Oman

    R. Ravi Chakravarthi

Authors
  1. C. Anna Palagan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sanjai Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anand J Dhas
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shrikant Taware
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. R. Ravi Chakravarthi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to C. Anna Palagan.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest to report regarding the present study.

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

Palagan, C.A., Gupta, S., Dhas, A.J. et al. An IoT scheme based on wireless body area sensors for healthcare applications. SIViP 17, 947–953 (2023). https://doi.org/10.1007/s11760-022-02294-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11760-022-02294-0

Keywords

Search

Navigation