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2016

University of Nebraska - Lincoln

Special Education and Teaching

Binary decision trees (BDT)

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Full-Text Articles in Education

Real-Time Classification Of Patients With Balance Disorders Vs. Normal Subjects Using A Low-Cost Small Wireless Wearable Gait Sensor, Bhargava Teja Nukala, Taro Nakano, Amanda Rodriguez, Jerry Tsay, Jerry Lopez, Tam Q. Nguyen, Steven Zupancic, Donald Y. C. Lie Jan 2016

Real-Time Classification Of Patients With Balance Disorders Vs. Normal Subjects Using A Low-Cost Small Wireless Wearable Gait Sensor, Bhargava Teja Nukala, Taro Nakano, Amanda Rodriguez, Jerry Tsay, Jerry Lopez, Tam Q. Nguyen, Steven Zupancic, Donald Y. C. Lie

Department of Special Education and Communication Disorders: Faculty Publications

Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis sensor that contains a basic inertial measurement unit (IMU) was used to collect the gait data for four patients diagnosed with balance disorders and additionally three normal subjects, each performing the Dynamic Gait Index (DGI) tests while wearing the custom wireless gait analysis sensor (WGAS). The small WGAS includes a tri-axial accelerometer integrated circuit (IC), two gyroscopes ICs and a Texas Instruments (TI) MSP430 microcontroller and …