Skip to main content

Analysis of Human Vital Functions Based on Data from Internet of Things Devices

  • Conference paper
  • First Online:
Advanced Information Networking and Applications (AINA 2020)

Abstract

The analysis of human vital functions is popular subject to discuss which is related to many fields of studies. One of the basic issue in this area is the development and implementing software for sensor devices with determined precision which collect data describing functions of human organs. The paper presents the use of IoT devices which collect and supply medial information for gathering and processing vital functions data. The collecting data system which processes information about sleep, heart functionality and physical activity from mobile devices has been created.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Lucey, B.P., McLeland, J.S., Toedebusch, C.D.: Comparison of a single-channel EEG sleep study to polysomnography. J. Sleep Res. 25, 625–635 (2016)

    Article  Google Scholar 

  2. Kelly, J.M., Strecker, R.E., Bianchi, M.T.: Recent developments in home sleep monitoring devices. ISRN Neurol. 2012, 1 (2012). Article ID 768794

    Google Scholar 

  3. Agrawal, R., Imielinski, T., Swami, A.: Mining associations between sets of items in large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washington D.C., pp. 207–216, May 1993

    Google Scholar 

  4. Tan, P.N., Steinbach, M., Kumar, V.: Introduction to Data Mining. Pearson New International Edition Harlow, Pearson Education Ltd., New York (2014)

    Google Scholar 

  5. Kanungo, T., Mount, D., Netanyahu, N., Piatko, C., Silverman, R., Wu, A.: An efficient K-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24, 881–892 (2000)

    Article  Google Scholar 

  6. Bradley, P.S., Fayyad, U.M.: Refining initial points for k-means clustering. In: Proceedings of the International Conference on Machine Learning, pp. 91–99 (1998)

    Google Scholar 

  7. Larose, D.T.: Discovering Knowledge in Data: An Introduction to Data Mining. Wiley, Hoboken (2005)

    MATH  Google Scholar 

  8. Oostenveld, R., Fries, P., Maris, E., Schoffelen, J.-M.: FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci., 1–6 (2011)

    Google Scholar 

  9. Berthomier, C., Drouot, X., Herman-Stoica, M., Berthomier, P., Prado, J., et al.: Automatic analysis of single-channel sleep EEG: validation in healthy individuals. Sleep 30, 1587–1595 (2007)

    Article  Google Scholar 

  10. Kaufmann, T., SĂŒtterlin, S., Schulz, S., Vögele, C.: ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis. Behav. Res. Methods 43, 1161–1170 (2011)

    Article  Google Scholar 

  11. Schukraft, S., et al.: Handheld ECG tracking of in-hOspital atrial fibrillation the HECTO-AF trial clinical study protocol. Trials 20, 2–6 (2019)

    Article  Google Scholar 

  12. Covie, M.: Electronic and mobile health in chronic heart failure. Eur. J. Arrhythm. Electrophysiol. 4(2), 6–45 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aneta Poniszewska-MaraƄda .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Poniszewska-MaraƄda, A., Pluta, M. (2020). Analysis of Human Vital Functions Based on Data from Internet of Things Devices. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_64

Download citation

Publish with us

Policies and ethics