Measurement and Evaluation of Finger Tapping Movements Using Log-linearized Gaussian Mixture Networks

Measurement and Evaluation of Finger Tapping Movements Using Log-linearized Gaussian Mixture Networks

This paper proposes a method to quantitatively measure and evaluate finger tapping movements for the assessment of motor function using log-linearized Gaussian mixture networks (LLGMNs). First, finger tapping movements are measured using magnetic sensors, and eleven indices are computed for evaluati...

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Bibliographic Details
Main Authors: Masaru Yokoe, Akihiko Kandori, Keisuke Shima, Toshio Tsuji, Saburo Sakoda
Format: Article
Language:English
Published: MDPI AG 2009-03-01
Series:Sensors
Subjects:
Finger tapping movements
magnetic sensors
neural networks
pattern discrimination
diagnosis support
Online Access:http://www.mdpi.com/1424-8220/9/3/2187/

Internet

http://www.mdpi.com/1424-8220/9/3/2187/

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