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Measurement of finger coordination during a motor learning task

Abstract

dc:description.abstract

The focus of this study is to observe the changes in whole hand grasp strategy, in healthy subjects, over time in a series of isometric force control learning tasks. During a series of trials with real-time visual feedback of the five finger forces, subjects adapted their grasp strategy in order to reach the target in a time efficient manner. In early trials, it is very evident that subjects focus on controlling the force output of one finger at a time until they reach the goal. As the block of trials progresses, subjects alter their strategy to a more coordinated movement to reach the target faster as they learn the coordination task. Throughout the study, forces are measured using a custom designed force measurement device. Many stroke patients do not fully recover hand function after a stroke. It has previously been shown that stroke subjects have an increase in finger enslavement or an increase in unintended force production between adjacent fingers. Ideally, using a force measurement device and a grasp shaping task, as described here, could translate to a therapy for stroke subjects enabling a faster recovery and greater finger independence.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Biomedical Engineering - (M.S.)
Discipline thesis:degree_discipline
Biomedical Engineering
Year
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ebel, Robert
Contributors dc:contributor
  • Sergei Adamovich
  • Richard A. Foulds
  • Mesut Sahin

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/18
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1017

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Ebel, Robert. Measurement of finger coordination during a motor learning task. 2017. https://digitalcommons.njit.edu/theses/18