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Knee Joint Vibroarthrographic Signal Processing and Analysis

This book presents the cutting-edge technologies of knee joint vibroarthrographic signal analysis for the screening and detection of knee joint injuries. It describes a number of effective computer-aided methods for analysis of the nonlinear and nonstationary biomedical signals generated by complex...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wu, Yunfeng (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Bioengineering,
Temas:
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2015. 
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300 |a XIV, 81 p. 32 illus., 17 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Introduction -- Signal Acquisition and Preprocessing -- Signal Analysis -- Feature Computing and Signal Classifications -- Summary and Research Directions. 
520 |a This book presents the cutting-edge technologies of knee joint vibroarthrographic signal analysis for the screening and detection of knee joint injuries. It describes a number of effective computer-aided methods for analysis of the nonlinear and nonstationary biomedical signals generated by complex physiological mechanics. This book also introduces several popular machine learning and pattern recognition algorithms for biomedical signal classifications. The book is well-suited for all researchers looking to better understand knee joint biomechanics and the advanced technology for vibration arthrometry. Dr. Yunfeng Wu is an Associate Professor at the School of Information Science and Technology, Xiamen University, Xiamen, Fujian, China. 
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650 0 |a Medical care. 
650 0 |a Signal processing. 
650 0 |a Pattern recognition systems. 
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650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Automated Pattern Recognition. 
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