G
Ge Wu
Researcher at University of Vermont
Publications - 4
Citations - 6955
Ge Wu is an academic researcher from University of Vermont. The author has contributed to research in topics: Ankle & Knee Joint. The author has an hindex of 4, co-authored 4 publications receiving 6155 citations.
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Journal ArticleDOI
ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion-Part II: shoulder, elbow, wrist and hand
Ge Wu,Frans C. T. van der Helm,H.E.J. Veeger,Mohsen Makhsous,Peter Van Roy,Carolyn Anglin,Jochem Nagels,Andrew R. Karduna,Kevin J. McQuade,Xuguang Wang,Frederick W. Werner,Bryan Buchholz +11 more
TL;DR: A definition of a joint coordinate system (JCS) for the shoulder, elbow, wrist, and hand is proposed and a standard for the local axis system in each articulating segment or bone is generated.
Journal ArticleDOI
ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion—part I: ankle, hip, and spine
Ge Wu,Sorin Siegler,Paul Allard,Chris Kirtley,Alberto Leardini,Dieter Rosenbaum,Mike Whittle,Darryl D. D'Lima,Luca Cristofolini,Hartmut Witte,Oskar Schmid,Ian A. F. Stokes +11 more
TL;DR: The Standardization and Terminology Committee (STC) of the International Society of Biomechanics proposes definitions of JCS for the ankle, hip, and spine, and suggests that adopting these standards will lead to better communication among researchers and clinicians.
Journal Article
ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion, I: ankle, hip, and spine
Ge Wu,Sorin Siegler,Paul Allard,Chris Kirtley,Alberto Leardini,Dieter Rosenbaum,Mike Whittle,Darryl D. D'Lima,Luca Cristofolini,Hartmut Witte,Oskar Schmid,Ian A. F. Stokes +11 more
Journal ArticleDOI
Distinguishing fall activities from normal activities by velocity characteristics.
TL;DR: This study identified unique features of the velocity profile during normal and abnormal activities so as to make the automatic detection of falls during the descending phase of a fall possible and could lead to potentially preventing or degrading fall-related injuries in the elderly population when connected with other devices.