DOI QR코드

DOI QR Code

Development of a Modular Clothing System for User-Centered Heart Rate Monitoring based on NFC

NFC 기반 사용자 중심의 모듈형 심박측정 의류 시스템 개발

  • 조하경 ((주)비와이엔 블랙야크 기획본부 R&D팀) ;
  • 조상우 (호서대학교 골프산업학과) ;
  • 조광연 ((주)비와이엔 블랙야크 기획본부 R&D팀)
  • Received : 2020.01.28
  • Accepted : 2020.03.05
  • Published : 2020.06.30

Abstract

This study aimed to develop a modular smart clothing system for heart rate monitoring that reduces the inconvenience caused by battery charging and the large size of measurement devices. The heart rate monitoring system was modularized into a temporary device and a continuous device to enable heart rate monitoring depending on the requirement. The temporary device with near-field communication (NFC) and heart rate sensors was developed as a clothing attachment type that enables heart rate monitoring via smart phone tagging when required. The continuous device is based on Bluetooth Low Energy (BLE) communication and batteries and was developed to enable continuous heart rate measurement via a direct connection to the temporary device. Furthermore, the temporary device was configured to connect with a textile electrode made of a silver-based knitted fabric designed to be located below the pectoralis major muscle for heart rate measurement. Considering the user-experience factors, key functions, and the ease of use, we developed an application to automatically log through smart phone tagging to improve usability. To evaluate the accuracy of the heart rate measurement, we recorded the heart rate of 10 healthy male subjects with a modular smart clothing system and compared the results with the heart rate values measured by the Polar RS800. Consequently, the average heart rate value measured by the temporary system was 85.37, while that measured by the reference device was 87.03, corresponding to an accuracy of 96.73%. No significant difference was found in comparison with the reference device (T value = -1.892, p = .091). Similarly, the average heart rate measured by the continuous system was 86.00, while that measured by the reference device was 86.97, corresponding to an accuracy of 97.16%. No significant difference was found in terms of the heart rate value between the two signals (T value = 1.089, p = .304). The significance of this study is to develop and validate a modular clothing system that can measure heart rates according to the purpose of the user. The developed modular smart clothing system for heart rate monitoring enables dual product planning by reducing the price increase due to unnecessary functions.

References

  1. Baek, H. J., & Cho, J. (2018). Development of a ringtype wearable healthcare device. The Transactions of The Korean Institute of Electrical Engineers, 67(7), 892-897. DOI: 10.5370/KIEE.2018.67.7.892 https://doi.org/10.5370/KIEE.2018.67.7.892
  2. Chen, M., Yang, J., Hao, Y., Mao, S., & Hwang, K. (2017). A 5G cognitive system for healthcare. Big Data and Cognitive Computing, 1(1), 2. DOI: 10.3390/bdcc1010002
  3. Cho, G. S., Yang, Y. J., & Sung, M. S. (2008). Development and its present status of bio-monitoring smart clothing and e-textiles. Fashion & Textile Research Journal, 10(1), 1-10.
  4. Cho, H. K., & Lee, J. H. (2015). A study on the optimal positions of ECG electrodes in a garment for the design of ECG-monitoring clothing for male. Journal of Medical Systems, 39: 95, First Online: 08 August 2015. DOI: 10.1007/s10916-01 5-0279-2
  5. Cho, H. S., Kim, J. H., & Koo, H. R. (2014). An analysis of consumer emotion for product planning of smart clothing. Korean Journal of the Science of Emotion and Sensibility, 17(3), 49-56. DOI: 10.1 4695/KJSOS.2014.17.3.49
  6. Cho, H. S., Koo, H. R., Yang, J. H., Lee, K. H., Kim, S. M., Lee, J. H., & Kim, S. H. (2018). Effect of the configuration of contact type textile electrode on the performance of heart activity signal acquisition for smart healthcare. Korean Journal of the Science of Emotion and Sensibility, 21(4), 63-76. DOI: 10.14695/KJSOS.2018.21.4.63
  7. El-Amrawy. F., & Nounou, M. I. (2015). Are currently available wearable devices for activiry tracking and heart rate monitoring accurate, precise, and medically beneficial?. Healthcare Informatics Research, 21(4), 315-320. DOI: 10.4258/hir.2015.21.4.315
  8. Gi, S. O., Lee, Y. J., Koo, H. R., Khang, S. A., Kim, K. N., Kang, S. J., Lee, J. H., & Lee, J. W. (2015). Application of a textile-based inductive sensor for the vital sign monitoring. Journal of Electrical Engineering & Technology, 10(1), 364-371. DOI: 10.5370/JEET.2015.10.1.364
  9. Gi, S. O., Lee, Y. J., Koo, H. R., Khang, S. A., Park, H. J., Kim, K. S., & Lee, J. W. (2013). An analysis on the effect of the shape features of the textile electrode on the non-contact type of sensing of cardiac activity based on the magnetic-induced conductivity priciple. The Transactions of the Korean Institute of Electrical Engineers, 62(6), 803-810. DOI: 10.5370/KIEE.2013.62.6.803
  10. Hernando, D., Garatachea, N., Casajus, J. A., & Bailon, R. (2017, September). Comparison of heart rate variability assessment during exercise from polar RS800 and ECG. In 2017 Computing in Cardiology (CinC) (pp. 1-4). IEEE. DOI: 10.22489/CinC.2017.206-225
  11. Hernando, D., Garatachea, N., Almeida, R., Casajus, J. A., & Bailon, R. (2018). Validation of heart rate monitor Polar RS800 for heart rate variability analysis during exercise. The Journal of Strength & Conditioning Research, 32(3), 716-725. DOI: 10.1519/JSC.0000000000001662
  12. Im H. B., & Ko H. Z. (2017). The analysis if the characteristic types of motion recognition smart clothing products. The Research Journal of the Costume Culture, 25(4), 529-542. DOI: 10.7741/rjcc.2017.25.4.529
  13. Jang, E., Kim, I., Lee, E. G., & Cho, G. (2017). Exploring requirements of the smart textiles for bio-signal measurement based on smart watch user sensibility. Science of Emotion and Sensibility, 20(4), 89-100. DOI: 10.14695/KJSOS.2017.20.4.89
  14. Jung, C., Kwak, Y., Park, S., & Lee, J. (2017). Research on planning and design of smart fitness wear for personal training improvement. Science of Emotion and Sensibility, 20(3), 97-108. DOI: 10.14695/KJSOS.2017.20.3.97
  15. Kang, M. J. (2015). Design guideline for healthcare smart sensing clothing based on consumer acceptance and characteristics(Master's dissertation). Yonsei University, Seoul, Korea.
  16. Kaisti, M., Leppanen, J., Lahdenoja, O., Kostiainen, P., Pankaaia, M., Meriheina, U., & Koivisto, T. (2017, September). Wearable pressure sensor array for health monitoring. In 2017 Computing in Cardiology (CinC) (pp. 1-4). IEEE. DOI: 10.22489/CinC.2017.143-140
  17. Koo, H. R., Lee, Y. J., Gi, S., Lee, S. P., Kim, K. N., Kang, S. J., & Lee, J. H. (2015). Effect of module design for a garment-type heart activity monitoring wearable system based on non-contact type sensing. Journal of the Korean Society of Clothing and Textiles, 39(3), 369-378. DOI: 10.5850/JKSCT.2015.39.3.369
  18. Koo, H. R., Jeon, D. J., & Lee, J. H. (2017). Research on heart rate sensing clothing design for seniors based on universal fashion. Fashion & Textile Research Journal, 19(6), 692-700. DOI: 10.5805/SFTI.2017.19.6.692
  19. Lee, H. M., & Pan, Y. H. (2017). Design elements derivation to provide user value on the heart rate sensor wearable device: Based on health information application, Journal to the Korean Society of Basic Design & Art, 18(2), 515-526. DOI: 10.5850/JKSCT.2017.18.2.515
  20. Lee, J., Heo, J., Lee, W., Lim, Y., Kim, Y., & Park, K. (2014). Flexible capacitive electrodes for minimizing motion artifacts in ambulatory electrocardiograms. Sensors, 14(8), 14732-14743. DOI: 10.3390/s140814732
  21. Lu, K., Yang, L., Seoane, F., Abtahi, F., Forsman, M., & Lindecrantz, K. (2018). Fusion of heart rate, respiration and motion measurements from a wearable sensor systems to enhance energy expenditure estimation. Sensors, 18(9), 3092. DOI:/10.3390/s18093092
  22. Meziane, N., Webster, J. G., Attari, M., & Nimunkar, A. J. (2013). Dry electrodes for electrocardiography. Physiological Measurement, 34(9), R47. DOI: 10.1088/0967-3334/34/9/R47
  23. Nemati, E., Deen, M. J., & Mondal, T. (2012). A wireless wearable ECG sensor for long-term applications. IEEE Communications Magazine, 50(1), 36-43. DOI: 10.1109/MCOM.2012.6122530 https://doi.org/10.1109/MCOM.2012.6122530
  24. Park, H. J., & Kim, H. S. (2016). A study on user leaning experience model development for wearable digital healthcare product and service design: Focused on activity tracker. Journal of the Korean Society Design Culture. 22(2), 223-235. DOI: 10.18208/ksdc.2016.22.3.223
  25. Park, J. H., & Kim, J. Y. (2019). A study on the development of sleep monitoring smart wear based on fiber sensor for the management of sleep apnea. Science of Emotion and Sensibility, 22(1), 89-100. DOI: 10.14695/KJSOS.2018.22.1.89
  26. Park, S. Y., & Lee, J. H. (2018). An explorative study on development direction of a mobile fitness App game associated with smart fitness wear. Journal of Digital Contents Society, 19(7), 1225-1235. DOI: 10.9728/dcs.2018.19.7.1225
  27. Park, S. Y., & Lee, J. H. (2019). An exploratory study on smart wearable and game service design for u-silver generation: U-hospital solution for the induction of interest to carry out personalized exercise prescription. Science of Emotion & Sensibility, 22(1), 23-34. DOI: 10.14695/KJSOS.2018.22.1.23
  28. Perego, P., Moltani, A., & Andreoni, G. (2012, June). Sport monitoring with smart wearable system. In pHealth (pp. 224-228). DOI: 10.3233/978-1-61499-069-7-224
  29. Quintana, D. S., Heathers, J. A., & Kemp, A. H. (2012). On the validity of using the Polar RS800 heart rate monitor for heart rate variability research. European Journal of Applied Physiology, 112(12), 4179-4180. DOI: 10.1007/s00421-012-2453-2
  30. Seo, E. S. (2015). Study on smart mobile healthcare UX design for persistent motivation(Master's dissertation). The Graduate School of Seoul University. Seoul, Korea.
  31. Taji, B., Shirmohammadi, S., Groza, V., & Bolic, M. (2013, May). An ECG monitoring system using conductive fabric. In 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 309-314). IEEE. DOI: 10.1109/MeMeA.2013.6549758
  32. Takano, M., Yamagishi, S., Ohmuta, T., Fukuoka, Y., & Ueno, A. (2017). Non-contact simultaneous measurements of electrocardiogram and respiratory movements using capacitive sheet electrodes. Advanced Biomedical Engineering, 6, 28-36. DOI: 10.14326/abe.6.28
  33. Yoo, H., Maeng, W., & Lee, J. (2016). Desigining a feedback for exercises using a wearable device. Journal of the HCI Society of Korea, 11(3), 23-30. DOI: 10.1633/kisti.kjcr.2016
  34. http://www.heddoko.com
  35. http://www.liveathos.com
  36. http://www.wearablex.com