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Bluetooth Inertial Sensors for Gait and Reflex Response Quantification with Perspectives Regarding Cloud Computing and the Internet of Things

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Book cover Wearable and Wireless Systems for Healthcare I

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 27))

Abstract

Bluetooth wireless enables localized connectivity to a smartphone, portable media device, and tablet. Rather than using these devices as wearable and wireless systems alone, the nature of Bluetooth wireless enables locally situated inertial sensors to be mounted to a subject for quantified evaluation of gait. The smartphone, portable media device, and tablet can then wirelessly transmit the data to a Cloud Computing resource for post-processing. Preliminary demonstration is presented regarding the machine learning classification of gait for Friedreich’s ataxia. A perspective of the application of Bluetooth wireless for reflex quantification is presented. Themes, such as sensor fusion and the Internet of Things, are further discussed. The prevalence of Bluetooth wireless further establishes the realization of Network Centric Therapy.

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Authors and Affiliations

  1. Department of Biological Sciences, Center for Bioengineering Innovation, Northern Arizona University, Flagstaff, AZ, USA

    Robert LeMoyne

  2. Independent, Pittsburgh, PA, USA

    Timothy Mastroianni

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  1. Robert LeMoyne
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  2. Timothy Mastroianni
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Correspondence to Robert LeMoyne .

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LeMoyne, R., Mastroianni, T. (2018). Bluetooth Inertial Sensors for Gait and Reflex Response Quantification with Perspectives Regarding Cloud Computing and the Internet of Things. In: Wearable and Wireless Systems for Healthcare I. Smart Sensors, Measurement and Instrumentation, vol 27. Springer, Singapore. https://doi.org/10.1007/978-981-10-5684-0_7

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  • DOI: https://doi.org/10.1007/978-981-10-5684-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5683-3

  • Online ISBN: 978-981-10-5684-0

  • eBook Packages: EngineeringEngineering (R0)

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