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논문검색

Convergence of Internet, Broadcasting and Communication

Design of a Brain Motor Control Ability Assessment System Using a Portable Tablet PC

초록

영어

We developed and validated a portable tablet-based system to assess brain motor control abilities by engaging participants in a manual tracking task with both visible and invisible targets, thereby eliciting feedback and feedforward control mechanisms. We measured the accuracy of these mechanisms using error terms, comparing 1) the performance of the dominant and non-dominant hands and 2) the intervals of feedback and feedforward control. We showed that the dominant hand demonstrated greater accuracy than the nondominant hand, particularly when tracking a faster-moving visible target. Furthermore, the non-dominant hand transitioned from feedback to feedforward control at a slower target speed compared to the dominant hand. This suggests differential motor control processing between hands. We present this tablet-based system as an accessible and versatile tool for assessing feedback and feedforward control during target tracking tasks, based on feedback-error learning theory. It enables efficient analysis of motor development in children, motor decline in older adults, and stroke rehabilitation outcomes from a brain motor control perspective.

목차

Abstract
1. Introduction
2. Methods
2.1 Apparatus and Environment for Quantitative Motor Function Assessment
2.2 Participants
2.3 Task Description
2.4 Performance Evaluation
3. Results
3.1 Comparison between the Dominant and Non-dominant Hand
3.2 Comparison between the Dominant and Non-dominant Hand
4. Discussion
4.1 The Development of the Quantitative System and Its Clinical Applicability
4.2 Differences in Motor Function Performance between the Dominant and Non-dominant Side
5. Conclusion
References

저자정보

  • Jongho Lee Professor, Department of Clinical Engineering, Komatsu University, Komatsu 923-0961, Japan
  • Ayami Kondo Student, Department of Clinical Engineering, Komatsu University, Komatsu 923-0961, Japan
  • Shigeyuki Igarashi Student, Division of Health Sciences, Komatsu University, Komatsu 923-0961, Japan
  • Mayumi Tokuda Professor, Division of Health Sciences, Komatsu University, Komatsu 923-0961, Japan
  • Hyeonseok Kim Researcher, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, United States

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