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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Egile Nagusiak:	Masaru Yokoe, Akihiko Kandori, Keisuke Shima, Toshio Tsuji, Saburo Sakoda
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2009-03-01
Saila:	Sensors
Gaiak:	Finger tapping movements magnetic sensors neural networks pattern discrimination diagnosis support
Sarrera elektronikoa:	http://www.mdpi.com/1424-8220/9/3/2187/
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