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Survey of Wearable Multi-modal Vital Parameters Measurement Systems

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Innovations in Biomedical Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 526))

Abstract

Wearable systems with biomedical sensors have diagnostic, as well as monitoring applications. Parameters extracted from physiological measures in everyday situations can provide indicators of health status and can have diagnostic value, especially for cardiology telemedicine. The publication presents the review of reconfigurable, wearable or possible to adapt for wearing, multi-modal vital parameters measurement systems for use especially in cardiology telemedicine. From about 300 commercially available reviewed system, three selected systems have been studied in detail, the results of this comparison are also presented.

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Notes

  1. 1.

    http://www.shimmersensing.com.

  2. 2.

    http://www.hexoskin.com.

  3. 3.

    http://www.equivital.co.uk/.

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Acknowledgements

This work was supported by project “The use of teletransmission of medical data in patients with heart failure for improvement of quality of life and reduction of treatment costs (Monitel-HF)” (STRATEGMED 1/233221/3/NCBR/3/2014) funded by the National Centre for Research and Development under the program STRATEGMED.

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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Szczęsna & Marcin Paszkuta

  2. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Adrian Nowak, Piotr Grabiec & Marzena Wojciechowska

  3. Silesian Center for Heart Disease, Zabrze, Poland

    Mateusz Tajstra

Authors
  1. Agnieszka Szczęsna
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  2. Adrian Nowak
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  3. Piotr Grabiec
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  4. Marcin Paszkuta
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  5. Mateusz Tajstra
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  6. Marzena Wojciechowska
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Corresponding author

Correspondence to Agnieszka Szczęsna .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Marek Gzik

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Zbigniew Paszenda

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

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Szczęsna, A., Nowak, A., Grabiec, P., Paszkuta, M., Tajstra, M., Wojciechowska, M. (2017). Survey of Wearable Multi-modal Vital Parameters Measurement Systems. In: Gzik, M., Tkacz, E., Paszenda, Z., Piętka, E. (eds) Innovations in Biomedical Engineering. Advances in Intelligent Systems and Computing, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-319-47154-9_37

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  • DOI: https://doi.org/10.1007/978-3-319-47154-9_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47153-2

  • Online ISBN: 978-3-319-47154-9

  • eBook Packages: EngineeringEngineering (R0)

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