The development of an automatic assisted devices for neuro-developmental treatment

Kai Lin Wu, Yu You Lin, Hsiao Kuan Wu, Po Yin Chen, Chung Huang Yu, Fu Cheng Wang

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

Abstract

This paper proposes an automatic assisted device for Neuro-Developmental Treatment (NDT). NDT rehabilitation is effective for stroke patients, but it is also labor-intensive for therapists. Consequently, patients cannot receive sufficient training because of the lack of therapists' assistance. Therefore, we develop an automated NDT trainer that can help reduce the therapists' workload and increase patients' practice time. We first apply a motion detection system to obtain the testing objects' motions and the therapists' actions during traditional NDT training. Then we develop an automatic NDT trainer that can repeat the therapists' actions and force patterns on the testing objects. Last, we conduct experiments and show that the proposed device is effective in reducing therapists' working loads and increasing the patients' training.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1262-1265
Number of pages4
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - Nov 10 2017
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: Sep 19 2017Sep 22 2017

Publication series

Name2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Volume2017-November

Conference

Conference56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
Country/TerritoryJapan
CityKanazawa
Period9/19/179/22/17

Keywords

  • gait training
  • motion analysis
  • motor control
  • NDT
  • VZ4000

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

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