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Advanced Mechatronics and MEMS Devices II pp 659–686Cite as

Biofeedback Technologies for Wireless Body Area Networks

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Part of the book series: Microsystems and Nanosystems ((MICRONANO))

Abstract

A growing trend of minimised electronic components and wireless communication technologies has brought great potential for wireless body area networks (WBAN). In WBAN, invasive or non-invasive sensors placed in on or around the human body are widely utilised to collect vital data of the human body. These signals are further analysed and processed in order to provide information on the state of the human body. Additionally, along with the development of micro-electro-mechanical-systems (MEMS), portable and wearable measurement units have become available for making this information delivery system more easily applicable in practice. Nowadays, such systems have been widely applied in medical (e.g. blood pressure measurement) and sports (e.g. movement measurement) areas. Recently, work has begun on exploring a more proactive use of WBANs, switching them from an active monitoring technology to a proactive one, namely a technology that not only monitors but also reacts autonomously to the situation. In this chapter, we focus on an emerging WBAN paradigm, namely real time biofeedback to the WBAN user. We will first review the concept of biofeedback control systems and its structure will be illustrated. Biofeedback in WBAN systems requires a multidisciplinary approach combining actuators, sensors, communications and signal processing. Existing work in this exciting new area will be highlighted before further challenges and open research issues are mentioned.

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Notes

  1. 1.

    TiMex: http://www.timex.com/sport.

  2. 2.

    Garmin: http://www.garmin.com/.

  3. 3.

    TomTom: http://www.tomtom.com.

  4. 4.

    TICKR: http://eu.wahoofitness.com/devices/hr.html.

  5. 5.

    Megallan: http://eu.wahoofitness.com/devices/hr.html.

  6. 6.

    Fitbit: http://www.fitbit.com/.

  7. 7.

    SUUNTO: http://www.suunto.com/.

  8. 8.

    Polar: http://www.polar.com/.

  9. 9.

    Mio Alpha: http://www.mioglobal.com/Default.aspx.

  10. 10.

    Adidas: http://micoach.adidas.com/smartrun/.

  11. 11.

    Sensoria: http://www.sensoriafitness.com/.

  12. 12.

    RunScribe: http://www.runscribe.com/.

  13. 13.

    Stryd: https://www.stryd.com/.

  14. 14.

    Running Injury Clinic: http://runninginjuryclinic.com/clinic-services/.

  15. 15.

    Parvo: http://www.parvo.com/.

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Authors and Affiliations

  1. College of Engineering and Science, Victoria University, Footscray, VIC 3011, Australia

    Rui Li, Daniel T. H. Lai & Wee Sit Lee

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  1. Rui Li
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  1. York University, Toronto, Ontario, Canada

    Dan Zhang

  2. University of Ontario Institute of Technology, Oshawa, Ontario, Canada

    Bin Wei

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Li, R., Lai, D.T.H., Lee, W.S. (2017). Biofeedback Technologies for Wireless Body Area Networks. In: Zhang, D., Wei, B. (eds) Advanced Mechatronics and MEMS Devices II. Microsystems and Nanosystems. Springer, Cham. https://doi.org/10.1007/978-3-319-32180-6_29

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