Sensing form - finger gaiting as key to tactile object exploration - a data glove analysis of a prototypical daily task.

J Neuroeng Rehabil

Support Center for Advanced Neuroimaging (SCAN), Department of Diagnostic and Interventional Neuroradiology, Inselspital, University Hospital Bern, Bern, Switzerland.

Published: October 2020

AI Article Synopsis

  • The study focused on the importance of motor hand skill and dexterity for daily activities, especially after a stroke, by examining finger movements during manipulation of a cuboid.
  • Researchers used a digital data glove to collect data on how the thumb and fingers interact in this task, specifically analyzing a technique called finger gaiting.
  • Principal component analysis revealed that three key motor patterns characterized finger movements, highlighting the different roles of various finger joints during manipulation and supporting the idea of coordinated joint action.

Article Abstract

Background: Motor hand skill and associated dexterity is important for meeting the challenges of daily activity and an important resource post-stroke. In this context, the present study investigated the finger movements of right-handed subjects during tactile manipulation of a cuboid, a prototypical task underlying tactile exploration. During one motor act, the thumb and fingers of one hand surround the cuboid in a continuous and regular manner. While the object is moved by the guiding thumb, the opposed supporting fingers are replaced once they reach their joint limits by free fingers, a mechanism termed finger gaiting.

Methods: For both hands of 22 subjects, we acquired the time series of consecutive manipulations of a cuboid at a frequency of 1 Hz, using a digital data glove consisting of 29 sensors. Using principle component analysis, we decomposed the short action into motor patterns related to successive manipulations of the cuboid. The components purport to represent changing grasp configurations involving the stabilizing fingers and guiding thumb. The temporal features of the components permits testing whether the distinct configurations occur at the frequency of 1 Hz, i.e. within the time window of 1 s, and, thus, taxonomic classification of the manipulation as finger gaiting.

Results: The fraction of variance described by the principal components indicated that three components described the salient features of the single motor acts for each hand. Striking in the finger patterns was the prominent and varying roles of the MCP and PIP joints of the fingers, and the CMC joint of the thumb. An important aspect of the three components was their representation of distinct finger configurations within the same motor act. Principal component and graph theory analysis confirmed modular, functionally synchronous action of the involved joints. The computation of finger trajectories in one subject illustrated the workspace of the task, which differed for the right and left hands.

Conclusion: In this task one complex motor act of 1 s duration could be described by three elementary and hierarchically ordered grasp configurations occurring at the prescribed frequency of 1 Hz. Therefore, these configurations represent finger gaiting, described until now only in artificial systems, as the principal mechanism underlying this prototypical task.

Trial Registration: clinicaltrials.gov, NCT02865642 , registered 12 August 2016.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542978PMC
http://dx.doi.org/10.1186/s12984-020-00755-6DOI Listing

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