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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
Autor principal: Wu, Yunfeng
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-44284-5
http://cds.cern.ch/record/1987412
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author Wu, Yunfeng
author_facet Wu, Yunfeng
author_sort Wu, Yunfeng
collection CERN
description 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.
id cern-1987412
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
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spelling cern-19874122021-04-21T20:34:44Zdoi:10.1007/978-3-662-44284-5http://cds.cern.ch/record/1987412engWu, YunfengKnee joint vibroarthrographic signal processing and analysisEngineeringThis 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.Springeroai:cds.cern.ch:19874122015
spellingShingle Engineering
Wu, Yunfeng
Knee joint vibroarthrographic signal processing and analysis
title Knee joint vibroarthrographic signal processing and analysis
title_full Knee joint vibroarthrographic signal processing and analysis
title_fullStr Knee joint vibroarthrographic signal processing and analysis
title_full_unstemmed Knee joint vibroarthrographic signal processing and analysis
title_short Knee joint vibroarthrographic signal processing and analysis
title_sort knee joint vibroarthrographic signal processing and analysis
topic Engineering
url https://dx.doi.org/10.1007/978-3-662-44284-5
http://cds.cern.ch/record/1987412
work_keys_str_mv AT wuyunfeng kneejointvibroarthrographicsignalprocessingandanalysis