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Development of A Textile Capacitive Proximity Sensor and Gait Monitoring System for Smart Healthcare

  • Mobile & Wireless Health
  • Published:
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Abstract

Gait is not only one of the most important functions and activities in daily life but is also a parameter to monitor one‘s health status. We propose a single channel capacitive proximity pressure sensor (TCPS) and gait monitoring system for smart healthcare. Insole-type TCPS (270 mm in length) was designed consisting of three layers including two shield layers and a sensor layer. Analyzing the step count and stride time are the basic indicators in gait analysis, thus they were selected as evaluation indicators. A total of 12 subjects participated in the experiment to evaluate the resolution of our TCPS. To evaluate the accuracy of TCPS, step count and its error rates were simultaneously detected by naked eye, ZIKTO Walk (ZIKTO Co., Korea), and HJ-203-K pedometer (Omron Co., Japan) as reference. Results showed that the error rate of 1.77% in TCPS was lower than those of other devices and correlation coefficient was 0.958 (p-value = 0.000). ZIKTO Walk and pedometer do not provide information on stride time, therefore it was detected by F-scan (Tekscan, USA) to evaluate the performance of TCPS. As a result, error rate of stride time measured by TCPS was found to be 1% and the correlation coefficient was 0.685 (p-value = 0.000). According to these results, our proposed system may be helpful in development of gait monitoring and measurement system as smart healthcare.

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Abbreviations

TCPS :

Textile Capacitive Proximity Sensor

MCU :

Microcontroller Unit

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Acknowledgements

This research was supported by the Soonchunhyang University Research Fund.

Author information

Authors and Affiliations

  1. 1521, Department of Medical IT Engineering, Soonchunhyang University, 22,Soonchunhyang-ro, Asan, 31538, South Korea

    Se Dong Min & Changwon Wang

  2. M516, Department of Computer software Engineering, Soonchunhyang University, 22,Soonchunhyang-ro, Asan, 31538, South Korea

    Doo-Soon Park

  3. Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Seoul, 01811, South Korea

    Jong Hyuk Park

Authors
  1. Se Dong Min
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  2. Changwon Wang
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  3. Doo-Soon Park
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  4. Jong Hyuk Park
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Contributions

Se Dong designed the framework of research and performed to anlyze gait data. And, Changwon assisted experiment for measuring gait data. Doo-Soon developed the gait monitoring application and Jong Hyuk contributed to verifying of proposed research method.

Corresponding author

Correspondence to Jong Hyuk Park.

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The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in this studyinvolving human participants were in accordance with the ethical standards of the Soonchunhyang University of Korea, and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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This article is part of the Topical Collection on Mobile & Wireless Health

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Min, S.D., Wang, C., Park, DS. et al. Development of A Textile Capacitive Proximity Sensor and Gait Monitoring System for Smart Healthcare. J Med Syst 42, 76 (2018). https://doi.org/10.1007/s10916-018-0928-3

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