Literature DB >> 19163862

Inherent bimanual postural synergies in hands.

Ramana Vinjamuri1, Mingui Sun, Donald Crammond, Robert Sclabassi, Zhi-Hong Mao.   

Abstract

This paper presents a numerical approach to prove the existence of inherent bimanual postural synergies while performing actions with two hands. Five subjects were tested in two different tasks. The first task was a well coordinated task where each subject screwed nut and bolt using one or both hands. In the second task, subjects were asked to perform several random postures with both hands. Joint angles were measured during the experiment by a pair of data gloves. Principal component analysis (PCA) was performed over the postures obtained during the tasks. In the first task, the number of postural synergies obtained for both hands together was less than the sum of the number of postural synergies for two hands. This is expected intuitively as first task was well coordinated. In the second task where there is no voluntary coordination involved, the number of postural synergies obtained for both hands together was still less than the sum of the number of postural synergies for two hands. This implies that there are innate bimanual synergies wired biomechanically to help brain in bimanual movements.

Mesh:

Year:  2008        PMID: 19163862     DOI: 10.1109/IEMBS.2008.4650359

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  On identifying kinematic and muscle synergies: a comparison of matrix factorization methods using experimental data from the healthy population.

Authors:  Navid Lambert-Shirzad; H F Machiel Van der Loos
Journal:  J Neurophysiol       Date:  2016-11-16       Impact factor: 2.714

2.  Inherent Kinematic Features of Dynamic Bimanual Path Following Tasks.

Authors:  Jacob R Boehm; Nicholas P Fey; Ann Majewicz
Journal:  IEEE Trans Hum Mach Syst       Date:  2020-09-15       Impact factor: 4.124

3.  Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements.

Authors:  W Wang; A D Degenhart; J L Collinger; R Vinjamuri; G P Sudre; P D Adelson; D L Holder; E C Leuthardt; D W Moran; M L Boninger; A B Schwartz; D J Crammond; E C Tyler-Kabara; D J Weber
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

4.  Data Fusion-Based Musculoskeletal Synergies in the Grasping Hand.

Authors:  Parthan Olikkal; Dingyi Pei; Tülay Adali; Nilanjan Banerjee; Ramana Vinjamuri
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

5.  Neural bases of hand synergies.

Authors:  Marco Santello; Gabriel Baud-Bovy; Henrik Jörntell
Journal:  Front Comput Neurosci       Date:  2013-04-08       Impact factor: 2.380

6.  Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects.

Authors:  Nathanaël Jarrassé; Adriano Tacilo Ribeiro; Anis Sahbani; Wael Bachta; Agnes Roby-Brami
Journal:  J Neuroeng Rehabil       Date:  2014-07-30       Impact factor: 4.262

  6 in total

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