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Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor

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Mobile Health Technologies

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1256))

Abstract

Smartphones and portable media devices are both equipped with sensor components, such as accelerometers. A software application enables these devices to function as a robust wireless accelerometer platform. The recorded accelerometer waveform can be transmitted wireless as an e-mail attachment through connectivity to the Internet. The implication of such devices as a wireless accelerometer platform is the experimental and post-processing locations can be placed anywhere in the world. Gait was quantified by mounting a smartphone or portable media device proximal to the lateral malleolus of the ankle joint. Attributes of the gait cycle were quantified with a considerable accuracy and reliability. The patellar tendon reflex response was quantified by using the device in tandem with a potential energy impact pendulum to evoke the patellar tendon reflex. The acceleration waveform maximum acceleration feature of the reflex response displayed considerable accuracy and reliability. By mounting the smartphone or portable media device to the dorsum of the hand through a glove, Parkinson’s disease hand tremor was quantified and contrasted with significance to a non-Parkinson’s disease steady hand control. With the methods advocated in this chapter, any aspect of human movement may be quantified through smartphones or portable media devices and post-processed anywhere in the world. These wearable devices are anticipated to substantially impact the biomedical and healthcare industry.

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Acknowledgement

The author would like to thank IEEE for granting permission to reuse the content (Figs. 1, 2, 3, 4, 5, 6, 7, 8, and 9 and Tables 1 and 2) of refs. 1, 2, and 4. I would personally like to acknowledge the contributions of Dr. Grundfest of UCLA Department of Bioengineering, as his insight and expertise served an instrumental role for the advance of smartphones and portable media devices as a wireless accelerometer platform for the quantification of gait, tendon reflex response, and Parkinson’s disease hand tremor. I would like to extend my appreciation to Kevin Zanjani, Michael Minicozzi, and Anthony Hessel for their assistance with the final preparation of the manuscript.

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Authors and Affiliations

  1. Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA

    Robert LeMoyne Ph.D.

  2. Independent, Pittsburgh, PA, USA

    Timothy Mastroianni

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  1. Robert LeMoyne Ph.D.
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Correspondence to Robert LeMoyne Ph.D. .

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Editors and Affiliations

  1. National Cancer Institute, Rockville, Maryland, USA

    Avraham Rasooly

  2. Fischell Department of Bioengineering, University of Maryland, College Park, Maryland, USA

    Keith E. Herold

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LeMoyne, R., Mastroianni, T. (2015). Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor. In: Rasooly, A., Herold, K. (eds) Mobile Health Technologies. Methods in Molecular Biology, vol 1256. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2172-0_23

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  • DOI: https://doi.org/10.1007/978-1-4939-2172-0_23

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