Developing of a System for Measuring and Evaluating the Hand Stress in Relation to the Strain Index

Author(s):  
Peter Gust ◽  
Aydin Ünlü ◽  
Max Hoppe
Keyword(s):  
2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Fabio Massimo Ulivieri ◽  
Luca Petruccio Piodi ◽  
Luca Rinaudo ◽  
Paolo Scanagatta ◽  
Bruno Mario Cesana
Keyword(s):  

2020 ◽  
Vol 2020 (0) ◽  
pp. J02203
Author(s):  
Yudai ISHIZU ◽  
Yusuke MIYAZAKI ◽  
Farmer JON ◽  
Mitchell SEAN ◽  
Sheratt PAUL
Keyword(s):  

Author(s):  
Aidé Aracely Maldonado-Macías ◽  
Margarita Ortiz Solís ◽  
Oziely Daniela Armenta Hernández ◽  
Karla Janeth Hernández Luna ◽  
Jorge Luis García Alcaraz

2008 ◽  
Author(s):  
Dario Sosa-Cabrera ◽  
R. de Luis-García ◽  
A. Tristán-Vega ◽  
Carlos Alberola-López ◽  
Juan Ruiz-Alzola
Keyword(s):  

2012 ◽  
pp. 150-150
Keyword(s):  

2021 ◽  
Vol 7 ◽  
Author(s):  
Fabio Massimo Ulivieri ◽  
Luca Rinaudo

For a proper assessment of osteoporotic fragility fracture prediction, all aspects regarding bone mineral density, bone texture, geometry and information about strength are necessary, particularly in endocrinological and rheumatological diseases, where bone quality impairment is relevant. Data regarding bone quantity (density) and, partially, bone quality (structure and geometry) are obtained by the gold standard method of dual X-ray absorptiometry (DXA). Data about bone strength are not yet readily available. To evaluate bone resistance to strain, a new DXA-derived index based on the Finite Element Analysis (FEA) of a greyscale of density distribution measured on spine and femoral scan, namely Bone Strain Index (BSI), has recently been developed. Bone Strain Index includes local information on density distribution, bone geometry and loadings and it differs from bone mineral density (BMD) and other variables of bone quality like trabecular bone score (TBS), which are all based on the quantification of bone mass and distribution averaged over the scanned region. This state of the art review illustrates the methodology of BSI calculation, the findings of its in reproducibility and the preliminary data about its capability to predict fragility fracture and to monitor the follow up of the pharmacological treatment for osteoporosis.


Author(s):  
Alysha R. Meyers ◽  
Fredric Gerr ◽  
Nathan B. Fethke
Keyword(s):  

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