The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study of Medication Adherence Using Textile Proximity Sensor

섬유 근접센서를 이용한 복약 여부 평가에 관한 연구

  • Ho, Jong Gab (Dept. of Medical IT Engineering, Soonchunhyang University) ;
  • Wang, Changwon (Dept. of Medical IT Engineering, Soonchunhyang University) ;
  • Min, Se Dong (Dept. of Medical IT Engineering, Soonchunhyang University)
  • Received : 2016.06.08
  • Accepted : 2016.06.28
  • Published : 2016.07.01
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Abstract

The purpose of this study is to evaluate whether to take a medicine based on a measuring data using textile proximity sensor. We developed a proximity sensor of ring type using conductive textile, and acquired a data in accordance with the quantity of each pills. To evaluate our approach, we designed an experimental protocol that is counting pills subtracting the one which contains range of 0 T(Tablet, 4,100mg) from 20 T. And, The experiments were performed a nine times in the same way. In order to remove a noise and smoothen data, data preprocessing were performed using resampling method and moving average filter which has ten points. Then, we calculated a linear trend line equation, and analyzed a correlation between pill quantity and trend line equation. As a results, correlation coefficient was shown at 0.833 through using a Spearman's correlation method and we could be determined that data was continuos decreases when take a medicine.

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References

  1. Statistics Korea, http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=2927
  2. Kyung Hyun Suh. Health and quality of Life for Korean people in ageing society. THE KOREAN JOURNAL OF CULTURE AND SOCIAL ISSUES, 12(5), 133-147.
  3. Chang, Wen-Wei, et al. "A smart medication system using wireless sensor network technologies." Sensors and Actuators A: Physical 172.1 (2011): 315-321. https://doi.org/10.1016/j.sna.2011.03.022
  4. Kim, Beom-Joon. "Developing a smart pillbox to improve the medication adherence of the patients requiring a long-term administration." The Journal of the Korea institute of electronic communication sciences 8.4 (2013): 611-617. https://doi.org/10.13067/JKIECS.2013.8.4.611
  5. Abbey, Brianna, et al. "A remotely programmable smart pillbox for enhancing medication adherence." Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on. IEEE, 2012.
  6. Salgia, Aakash Sunil, K. Ganesan, and Ashwin Raghunath. "Smart Pill Box." Indian Journal of Science and Technology 8.S2 (2015): 189-194.
  7. Morales, Suarez-Varela MT. "Study on the use of a smart pillbox to improve treatment compliance]." Atencion Primaria/Sociedad Espanola de Medicina de Familia y Comunitaria 41.4 (2009): 185-191. https://doi.org/10.1016/j.aprim.2008.07.003
  8. Lee, Matthew L., and Anind K. Dey. "Reflecting on pills and phone use: supporting awareness of functional abilities for older adults." Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2011.
  9. Meyer, Jan, Paul Lukowicz, and Gerhard Troster. "Textile pressure sensor for muscle activity and motion detection." Wearable Computers, 10th IEEE International Symposium on, 2006.
  10. Holleczek, Thomas, et al. "Textile pressure sensors for sports applications." Sensors IEEE, 2010.
  11. Enokibori, Yu, and Kenji Mase. "Human joint angle estimation with an e-textile sensor." Proceedings of the 2014 ACM International Symposium on Wearable Computers. ACM, 2014.
  12. Shu, Lin, et al. "In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array." IEEE Transactions on information technology in biomedicine 14.3 (2010): 767-775. https://doi.org/10.1109/TITB.2009.2038904
  13. Se-Dong Min, Young-Hyun Yun, Chung-Keun Lee, Hang-Sik Shin, Ha-Kyung Cho, Seon-Cheol Hwang, Myoung-Ho Lee. "Respiration Measurement System using Textile Capacitive Pressure Sensor." THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P, 59.1 (2010.3): 58-63.
  14. Jia, Ning. "ADI Capacitance-to-Digital Converter Technology in Healthcare Applications." Analog Dialogue 46.2 (2012).
  15. Eren, Halit, and Lucas D. Sandor. "Fringe-effect capacitive proximity sensors for tamper proof enclosures." Sensors for Industry Conference IEEE, 2005.