DocumentCode :
2380763
Title :
Cancelling biodynamic feedthrough requires a subject and task dependent approach
Author :
Venrooij, Joost ; Mulder, Mark ; Van Paassen, Marinus M. ; Abbink, David A. ; Bülthoff, Heinrich H. ; Mulder, Max
Author_Institution :
Fac. of Mech. Eng., Delft Univ. of Technol., Delft, Netherlands
fYear :
2011
fDate :
9-12 Oct. 2011
Firstpage :
1670
Lastpage :
1675
Abstract :
Vehicle accelerations may feed through the human body, causing involuntary limb motions which may lead to involuntary control inputs. This phenomenon is called biodynamic feedthrough (BDFT). Signal cancellation is a possible way of mitigating biodynamic feedthrough. It makes use of a BDFT model to estimate the involuntary control inputs. The BDFT effects are removed by subtracting the modeled estimate of the involuntary control input from the total control signal, containing both voluntary and involuntary components. The success of signal cancellation hinges on the accuracy of the BDFT model used. In this study the potential of signal cancellation is studied by making use of a method called optimal signal cancellation. Here, an identified BDFT model is used off-line to generate an estimate of the involuntary control inputs based on the accelerations present. Results show that reliable signal cancellation requires BDFT models that are both subject and task dependent. The task dependency is of particular importance: failing to adapt the model to changes in the operator´s neuromuscular dynamics dramatically decreases the quality of cancellation and can even lead to an increase in unwanted effects. As a reliable and fast on-line identification method of the neuromuscular dynamics of the human operator currently does not exist, real-time signal cancellation is currently not feasible.
Keywords :
biomechanics; medical signal processing; biodynamic feedthrough cancellation; human body; involuntary components; involuntary control inputs; involuntary limb motions; neuromuscular dynamics; online identification method; optimal signal cancellation; subject dependent approach; task dependent approach; vehicle accelerations; voluntary components; Acceleration; Biological system modeling; Data models; Force; Humans; Neuromuscular; Vehicle dynamics; Biodynamic feedthrough; model-based cancellation; signal cancellation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1062-922X
Print_ISBN :
978-1-4577-0652-3
Type :
conf
DOI :
10.1109/ICSMC.2011.6083911
Filename :
6083911
Link To Document :
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