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Content Provider | IEEE Xplore Digital Library |
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Author | Villasenor-Herrera, Alejandro De Serres, Sophie J. Wagner, Ross Kearney, Robert E. |
Copyright Year | 2008 |
Description | Author affiliation: School of Physical and Occupational Therapy, McGill University, Montreal, QC H3A 2B4, Canada (De Serres, Sophie J.) || Department of Biomedical Engineering, McGill University, Montreal, QC H3A 2B4, Canada (Villasenor-Herrera, Alejandro; Wagner, Ross; Kearney, Robert E.) |
Abstract | It has been postulated that cutaneo-receptors from the digits contribute to the control of manipulatory functions of the hand. However, few studies have examined the dynamics of the human grip force system (HGFS) in terms of the dynamic relationship between the vertical loads, taken as an input and the resulting grip force, taken as the output. This paper describes the experimental procedures we have developed to explore the HGFS and presents some initial experimental results. These demonstrate that the step response of the HGFS is biphasic. The first, short latency phase, likely involves only passive and intrinsic components. The second, longer latency phase is likely related to reflex mechanisms since it is preceded by a strong burst of EMG. Moreover, the HGFS response depended nonlinearly on the amplitude and direction of the load applied. These results indicate that further investigation of HGFS dynamics will require the use of nonlinear identification methods. |
Starting Page | 5362 |
Ending Page | 5365 |
File Size | 567817 |
Page Count | 4 |
File Format | |
ISBN | 9781424418145 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2008.4650426 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-08-20 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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