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Quantifying Timed-Up-and-Go Test: A Smartphone Implementation Mladen Milosevic, Emil Jovanov, Aleksandar Milenković Electrical and Computer Engineering Department The University of Alabama in Huntsville Huntsville, AL,
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Document Date: 2014-10-02 03:36:57


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File Size: 690,04 KB

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City

Huntsville / /

Company

Neural Networks / Stimulation Using Wireless Sensor Networks / Body Sensor Networks / Motorola / Raw Signal / /

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Facility

Computer Engineering Department The University of Alabama / /

IndustryTerm

mHealth server / then search / healthcare professionals / quantification systems / Online motion recognition / computing / mobile operating systems / signal processing / mobile sensing applications / wireless body area network / /

OperatingSystem

Android / Microsoft Windows / /

Organization

vol. / American Geriatrics Society / University of Alabama / U.S. National Science Foundation / British Geriatrics Society / American Academy of Orthopaedic Surgeons Panel / /

Person

Aleksandar Milenković / Emil Jovanov / H. Ghasemzadeh / V / T. Troosters / V / Mladen Milosevic / /

Position

leaning forward / lean forward / chair / chair / and sit down / /

Product

Motorola Razr Cellular Phone / /

Technology

Geriatrics / Information Technology / smartphones / Smartphone / GPS / mobile computing / Neurosurgery / Android / mobile device / operating systems / /

SocialTag