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Knee Joint Vibroarthrographic Signal Processing and Analysis / by Yunfeng Wu.

By: Wu, Yunfeng, autor.
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Bioengineering, 2193-097X); (Engineering (Springer-11647)).Publisher: Berlin, Heidelberg : Springer International Publishing, 2015Description: 1 recurso en línea (XIV, 81 páginas 32 ilustraciones, 17 ilustraciones a color.).ISBN: 9783662442845.Subject: Ingeniería biomédicaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Signal Acquisition and Preprocessing -- Signal Analysis -- Feature Computing and Signal Classifications -- Summary and Research Directions.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RC78.7 .D35 W898 2015 EB (Browse shelf(Opens below)) Acceso electrónico eBook.12112070
Total holds: 0

Introduction -- Signal Acquisition and Preprocessing -- Signal Analysis -- Feature Computing and Signal Classifications -- Summary and Research Directions.

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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