Multi-finger prehension synergy

Exploration with transcranial magnetic stimulation

Mark Latash, Xun Niu, Vladimir M. Zatsiorsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We used transcranial magnetic stimulation (TMS) to explore the stability of the three components of the multi-finger prehension synergy during holding a vertically oriented object vertically in the air. TMS led to close to proportional changes in the mechanical variables produced by the digits. These changes violated synergy components that took different times to restore. Patterns of co-variation of the mechanical variables produced by individual digits corresponding to the equation of statics restored first followed by a change in the magnitude of the performance variables such as grip force, total tangential force, and total moment of force. The results support the principle of superposition as applied to the prehension synergy.

Original languageEnglish (US)
Title of host publicationHaptics
Subtitle of host publicationPerception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings
Pages389-394
Number of pages6
DOIs
StatePublished - Oct 27 2008
Event6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008 - Madrid, Spain
Duration: Jun 10 2008Jun 13 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5024 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008
CountrySpain
CityMadrid
Period6/10/086/13/08

Fingerprint

Synergy
Digit
Mechanical properties
Superposition
Air
Directly proportional
Moment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Latash, M., Niu, X., & Zatsiorsky, V. M. (2008). Multi-finger prehension synergy: Exploration with transcranial magnetic stimulation. In Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings (pp. 389-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5024 LNCS). https://doi.org/10.1007/978-3-540-69057-3_51
Latash, Mark ; Niu, Xun ; Zatsiorsky, Vladimir M. / Multi-finger prehension synergy : Exploration with transcranial magnetic stimulation. Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. pp. 389-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Latash, M, Niu, X & Zatsiorsky, VM 2008, Multi-finger prehension synergy: Exploration with transcranial magnetic stimulation. in Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5024 LNCS, pp. 389-394, 6th International Conference on Haptics: Perception, Devices and Scenarios, EuroHaptics 2008, Madrid, Spain, 6/10/08. https://doi.org/10.1007/978-3-540-69057-3_51

Multi-finger prehension synergy : Exploration with transcranial magnetic stimulation. / Latash, Mark; Niu, Xun; Zatsiorsky, Vladimir M.

Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. p. 389-394 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5024 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Latash M, Niu X, Zatsiorsky VM. Multi-finger prehension synergy: Exploration with transcranial magnetic stimulation. In Haptics: Perception, Devices and Scenarios - 6th International Conference, EuroHaptics 2008, Proceedings. 2008. p. 389-394. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-69057-3_51