Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor

Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor

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...

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Bibliographic Details
Main Authors: Bhargava Teja Nukala, Taro Nakano, Amanda Rodriguez, Jerry Tsay, Jerry Lopez, Tam Q. Nguyen, Steven Zupancic, Donald Y. C. Lie
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Biosensors
Subjects:
artificial neural network (ANN)
back propagation (BP)
binary decision trees (BDT)
fall detection
fall prevention
k-nearest neighbors (KNN)
support vector machine (SVM)
wireless gait analysis sensor (WGAS)
Online Access:http://www.mdpi.com/2079-6374/6/4/58

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http://www.mdpi.com/2079-6374/6/4/58

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