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Assessment of Custom Fitted Heart Rate Sensing Garments whilst undertaking Everyday Activities

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7251))

Abstract

This study assesses the accuracy of heart rate detection using custom fit intelligent garments with integrated textile electrodes. Two single lead electrocardiograms (ECGs) where recorded from 5 subjects using wet Ag/AgCl (WE) and textile electrodes (TE). During recording the subjects were asked to perform several tasks. Offline, the ECGs recorded from the WE were examined and the number of R wave peaks for each subject where counted by a human observer. This count served as the gold standard. A computer program was used to detect R peaks from both the WE and TE. Sensitivity of each system was determined by comparing computer program based heart rates from WE and TE to the gold standard. The system with TE obtained a mean sensitivity of 76.47%. This was significantly lower than with WE (mean: 98.19%). Results indicated that the custom skin layers did not perform accurately whilst performing tasks involving movement of the trunk and limbs.

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References

  1. UN Demographic Indicators 1950–2050, medium estimate (June 2011), http://unstats.un.org/socind

  2. Milosevic, M., Shrove, M.T., Jovanov, E.: Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management. Journal of Information Technology and Application (JITA) 1(1), 7–14 (2011)

    Google Scholar 

  3. Kirkland, R.A., Karlin, N.J., Stellino, M.B., Pulos, S.: Basic Psychological Needs Satisfaction, Motivation, and Exercise in Older Adults. Activities, Adaptation & Aging 35(3), 181–196 (2011)

    Article  Google Scholar 

  4. McCann, J.: Design for Ageing Well: Improving the Quality of Life for the Ageing Population Using a Technology Enabled Garment System. Advances in Science and Technology 60, 154–163 (2009)

    Article  Google Scholar 

  5. Luprano, J., Sola, J., Dasen, S., Koller, J.M., Chetelat, O.: Combination of body sensor networks and on-body signal processing algorithms: The practical case of MyHeart project. In: Proc. Int. Workshop Wearable Implantable Body Sens., pp. 76–79 (2006)

    Google Scholar 

  6. Xu, P., Zhang, H.: Textile-structured electrodes for electrocardiogram. Textile Progress 40, 183–213 (2008)

    Article  Google Scholar 

  7. Cho, H.S., Koo, S.M., Lee, J., et al.: Heart Monitoring Garments Using Textile Electrodes for Healthcare Applications. J. Med. Syst. 35, 189–201 (2009)

    Article  Google Scholar 

  8. McAdams, E.: Wearable Sensor Systems: The Challenges. In: 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts USA, August 30-September 3, pp. 3648–3651 (2011)

    Google Scholar 

  9. Lerch, T., MacGillivray, M., Domina, T.: 3-D laser scanning: A model of multidisciplinary research. Journal of Textiles and Apparel Technology and Management 5, 1–22 (2007)

    Google Scholar 

  10. Bougourd, J., McCann, J., Stevens, K.: Design for Ageing Well: Product that is Fit for Purpose Driven by User Engagement. In: Include 2011 The Role of Inclusive Design in Making Social Innovation Happen, April 18-20 (2011)

    Google Scholar 

  11. WHO. "Obesity: preventing and managing the global epidemic. Report of a WHO Consultation," WHO Technical Report Series 894. World Health Organization, Geneva (2000)

    Google Scholar 

  12. Bougourd, J., McCann, J., Stevens, K.: Communicating the Benefits of Smart Textiles for Functional Clothing through User-Centred Design. In: Proceedings from the Textile Institute World Conference, vol. 3(2) (2010)

    Google Scholar 

  13. Mattmann, C., Amft, O., Harms, H., Tröster, G., Clemens, F.: Recognizing upper body postures using textile strain sensors. In: Proc. of the 11th IEEE International Symposium on Wearable Computers, ISWC (2007)

    Google Scholar 

  14. Pan, J., Tompkins, W.J.: A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng. 32, 230–236 (1985)

    Article  Google Scholar 

  15. Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurements. Lancet 1, 307–310 (1986)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Cleland, I., Nugent, C., Finlay, D., Burns, W., Bougourd, J., Armitage, R. (2012). Assessment of Custom Fitted Heart Rate Sensing Garments whilst undertaking Everyday Activities. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-30779-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30778-2

  • Online ISBN: 978-3-642-30779-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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