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A Custom Base Station for Collecting and Processing Data of Research-Grade Motion Sensor Units

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Wireless Mobile Communication and Healthcare (MobiHealth 2016)

Abstract

In studies of human biomechanics utilizing inertial sensors, motion sensor units of type Xsens are recognized as the state-of-the-art. However, the requirement to use them with a personal computer for collecting and processing data could be a limiting factor. In the present work, we demonstrate a simple solution to using up to four Xsens MTx units with a custom portable base station. The base station is capable of obtaining data from Xsens MTx units, processing the data and saving them to an SD card. Thus, it allows the use of the units outside laboratory settings without the need of a personal computer, the capability to directly use onboard custom algorithms to process the data of several units in real time, and interconnectivity with external systems for synchronized collection of multimodal data. We demonstrate these benefits by two examples: synchronized collection of data from an Xsens MTx unit and a Footscan® plantar pressure plate, and knee angle measurement using two Xsens MTx units that we validated by synchronized recording of goniometric data.

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References

  1. Seel, T., Raisch, J., Schauer, T.: IMU-based joint angle measurement for gait analysis. Sensors 14, 6891–6909 (2014)

    Article  Google Scholar 

  2. Zhao, G., Mei, Z., Liang, D., Ivanov, K., Guo, Y., Wang, Y., et al.: Exploration and implementation of a pre-impact fall recognition method based on an inertial body sensor network. Sensors 12, 15338–15355 (2012)

    Article  Google Scholar 

  3. © Xsens company website. http://www.xsens.com. Accessed 15 Sept 2016

  4. Zhang, J.T., Novak, A.C., Brouwer, B., Li, Q.: Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics. Physiol. Meas. 34, N63–N69 (2013)

    Article  Google Scholar 

  5. Mei, Z., Zhao, G., Ivanov, K., Guo, Y., Zhu, Q., Zhou, Y., et al.: Sample entropy characteristics of movement for four foot types based on plantar centre of pressure during stance phase. Biomed. Eng. Online 12, 1–18 (2013)

    Article  Google Scholar 

  6. Guo, Y., Zhao, G., Liu, Q., Mei, Z., Ivanov, K., Wang, L.: Balance and knee extensibility evaluation of hemiplegic gait using an inertial body sensor network. Biomed. Eng. Online 12, 83 (2013)

    Article  Google Scholar 

  7. Mei, Z., Ivanov, K., Zhao, G., Li, H., Wang, L.: An explorative investigation of functional differences in plantar center of pressure of four foot types using sample entropy method. Med. Biol. Eng. Comput. 55, 537–548 (2016)

    Article  Google Scholar 

  8. Howcroft, J.D., Lemaire, E.D., Kofman, J., McIlroy, W.E.: Analysis of dual-task elderly gait using wearable plantar-pressure insoles and accelerometer. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5003–5006 (2014)

    Google Scholar 

  9. Jarchi, D., Lo, B., Ieong, E., Nathwani, D., Yang, G.Z.: Validation of the e-AR sensor for gait event detection using the parotec foot insole with application to post-operative recovery monitoring. In: 11th International Conference on Wearable and Implantable Body Sensor Networks, pp. 127–131 (2014)

    Google Scholar 

  10. Xsens Technologies B.V.: MT Low-Level Communication Protocol Documentation (2010)

    Google Scholar 

  11. Xsens Technologies B.V.: MTi and MTx User Manual and Technical Documentation (2010)

    Google Scholar 

  12. RScan International: Footscan® advanced & hi-end system, user guide, v.7, gait software, footwear adviser software (2009)

    Google Scholar 

  13. Perry, J.: Gait Analysis: Normal and Pathological Function, 1st edn. SLACK, Vancouver (1992)

    Google Scholar 

  14. Lisa, J.A.D.: Gait Analysis in the Science of Rehabilitation. DIANE Publishing, Collingdale (2000)

    Google Scholar 

  15. Kirtley, C.: Clinical Gait Analysis: Theory and Practice. Elsevier, Amsterdam (2006)

    Google Scholar 

  16. Rose, N.E., Feiwell, L.A., Cracchiolo 3rd, A.: A method for measuring foot pressures using a high resolution, computerized insole sensor: the effect of heel wedges on plantar pressure distribution and center of force. Foot Ankle 13, 263–270 (1992)

    Article  Google Scholar 

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Acknowledgments

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61401454, 71532014 and U1505251), the Key Research Program of the Chinese Academy of Sciences (KFZO-SW-202), Technology Development Program of Shenzhen (CXZZ20150401152602734), Project of Nanshan (KC2015JSJS0014A) and Major project of Guangdong Province (2014B010111008).

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Correspondence to Lei Wang .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ivanov, K., Mei, Z., Li, H., Du, W., Wang, L. (2017). A Custom Base Station for Collecting and Processing Data of Research-Grade Motion Sensor Units. In: Perego, P., Andreoni, G., Rizzo, G. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-58877-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-58877-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58876-6

  • Online ISBN: 978-3-319-58877-3

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