Document Detail

A Framework for Biodynamic Feedthrough Analysis-Part II: Validation and Application.
MedLine Citation:
PMID:  25137695     Owner:  NLM     Status:  In-Data-Review    
Biodynamic feedthrough (BDFT) is a complex phenomenon, that has been studied for several decades. However, there is little consensus on how to approach the BDFT problem in terms of definitions, nomenclature, and mathematical descriptions. In this paper, the framework for BDFT analysis, as presented in Part I of this dual publication, is validated and applied. The goal of this framework is twofold. First of all, it provides some common ground between the seemingly large range of different approaches existing in BDFT literature. Secondly, the framework itself allows for gaining new insights into BDFT phenomena. Using recently obtained measurement data, parts of the framework that were not already addressed elsewhere, are validated. As an example of a practical application of the framework, it will be demonstrated how the effects of control device dynamics on BDFT can be understood and accurately predicted. Other ways of employing the framework are illustrated by interpreting the results of three selected studies from the literature using the BDFT framework. The presentation of the BDFT framework is divided into two parts. This paper, Part II, addresses the validation and application of the framework. Part I, which is also published in this journal issue, addresses the theoretical foundations of the framework. The work is presented in two separate papers to allow for a detailed discussion of both the framework's theoretical background and its validation.
Joost Venrooij; Marinus M van Paassen; Mark Mulder; David A Abbink; Max Mulder; Frans C T van der Helm; Heinrich H Bulthoff
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on cybernetics     Volume:  44     ISSN:  2168-2275     ISO Abbreviation:  IEEE Trans Cybern     Publication Date:  2014 Sep 
Date Detail:
Created Date:  2014-08-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101609393     Medline TA:  IEEE Trans Cybern     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1699-710     Citation Subset:  IM    
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