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Bio-inspired Topology of Wearable Sensor Fusion for Telemedical Application

  • Eliasz KantochEmail author
  • Dominik Grochala
  • Marcin Kajor
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10245)

Abstract

Application of wearable sensors is a promising approach in building novel telemedical services. In this paper, we propose the biologically inspired method for monitoring human activity in living conditions. The solution is based on the set of sensors integrated in the single wearable device and imitates the natural arrangement of human perception system. The designed wearable device enables to acquire physiological and environmental parameters. With the use of proposed appliance it is possible to collect body and ambient temperature, barometric pressure, light intensity and acceleration. In the experimental part, the signals were recorded during selected activities of daily living (ADL). The sitting activity classification was implemented using perceptron.

Keywords

Barometric Pressure Wearable Device Wearable Sensor Simultaneous Acquisition Telemedical System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

This project was funded by the AGH University of Science and Technology project no. 11.11.120.612.

References

  1. 1.
    World Health Organisation: WHO \(\vert \) Ageing. http://www.who.int/topics/ageing/en/
  2. 2.
    Bliley, K.E., Holmes, D.R., Kane, P.H., Foster, R.C., Levine, J.A., Daniel, E.S., Gilbert, B.K.: A miniaturized low power personal motion analysis logger utilizing mems accelerometers and low power microcontroller. In: 2005 3rd IEEE/EMBS Special Topic Conference on Microtechnology in Medicine and Biology, pp. 92–93. IEEE (2005)Google Scholar
  3. 3.
    Motoi, K., Higashi, Y., Kuwae, Y., Yuji, T., Tanaka, S., Yamakoshi, K.: Development of a wearable device capable of monitoring human activity for use in rehabilitation and certification of eligibility for long-term care. In: Conference on Proceedings of the IEEE Engineering in Medicine and Biology Society, vol. 1, pp. 1004–1007 (2005)Google Scholar
  4. 4.
    Ince, N.F., Min, C.H., Tewfik, A.H.: Integration of wearable wireless sensors and non-intrusive wireless in-home monitoring system to collect and label the data from activities of daily living. In: Proceedings of the 3rd IEEE-EMBS International Summer School and Symposium on Medical Devices and Biosensors, ISSS-MDBS 2006, pp. 28–31. IEEE (2006)Google Scholar
  5. 5.
    Maenaka, K., Masaki, K., Fujita, T.: Application of multi-environmental sensing system in MEMS technology - monitoring of human activity. In: 4th International Conference on Networked Sensing Systems, INSS, pp. 47–52. IEEE (2007)Google Scholar
  6. 6.
    Mukhopadhyay, S.C.: Wearable sensors for human activity monitoring: a review (2015). http://ieeexplore.ieee.org/document/6974987/
  7. 7.
    Etemadi, M., Inan, O.T., Heller, J.A., Hersek, S., Klein, L., Roy, S.: A wearable patch to enable long-term monitoring of environmental, activity and hemodynamics variables. IEEE Trans. Biomed. Circuits Syst. 10, 280–288 (2016)CrossRefGoogle Scholar
  8. 8.
    Augustyniak, P., Smolen, M., Mikrut, Z., Kantoch, E.: Seamless tracing of human behavior using complementary wearable and house-embedded sensors. Sensors (Switzerland) 14, 7831–7856 (2014)CrossRefGoogle Scholar
  9. 9.
    Kantoch, E.: Technical verification of applying wearable physiological sensors in ubiquitous health monitoring. In: Computing in Cardiology Conference (CinC) 2013 (2013)Google Scholar
  10. 10.
    Kantoch, E., Augustyniak, P., Markiewicz, M., Prusak, D.: Monitoring activities of daily living based on wearable wireless body sensor network. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2014, pp. 586–589 (2014)Google Scholar
  11. 11.
    Augustyniak, P., Kantoch, E.: Turning domestic appliances into a sensor network for monitoring of activities of daily living. J. Med. Imaging Heal. Informatics. 5, 1662–1667 (2015)CrossRefGoogle Scholar
  12. 12.
    Barbarossa, S., Scutari, G.: Bio-inspired sensor network design. IEEE Signal Process. Mag. 24, 26–35 (2007)CrossRefGoogle Scholar
  13. 13.
    Valle, M.: Bioinspired sensor systems (2011). http://www.mdpi.com/1424-8220/11/11/10180/

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Eliasz Kantoch
    • 1
    Email author
  • Dominik Grochala
    • 1
  • Marcin Kajor
    • 1
  1. 1.AGH Univeristy of Science and TechnologyKrakówPoland

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