Knee Joint Vibroarthrographic Signal Processing and Analysis [electronic resource] / by Yunfeng Wu.

By:

Wu, Yunfeng [author.]

Contributor(s):

SpringerLink (Online service)

Series: SpringerBriefs in BioengineeringPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Description: XIV, 81 p. 32 illus., 17 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783662442845

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

610.28 23

LOC classification:

R856-857

Online resources:

Click here to access online

Contents:

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

In: Springer eBooksSummary: 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.

Item type:

eBooks

Average rating: 0.0 (0 votes)

Holdings ( 0 )
Title notes ( 2 )

No physical items for this record

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.