EVENT

Talk on "A Telerehabilitation Framework for Post-Stroke Patients: Human Factor Engineering Based Approach" by Dr. Chutiporn Anutariya (AIT)

We are pleased to inform you about the upcoming seminar by Dr. Chutiporn Anutariya (AIT) titled:"A Telerehabilitation Framework for Post-Stroke Patients: Human Factor Engineering Based Approach" Everyone interested is cordially invited to attend!

Title:

A Telerehabilitation Framework for Post-Stroke Patients: Human Factor Engineering Based Approach

Abstract:

This research presents a telerehabilitation framework for post-stroke patients, founded on human factors engineering approach. It addresses limitations in current rehabilitation practices for upper limb impairments, particularly in enhancing bimanual coordination and delivering precise, quantifiable treatments outside clinical environments.

The proposed solution employs a bimanual rehabilitation robotic arm system based on the master-follower paradigm, wherein synchronized movement is facilitated between the impaired (master) and unaffected (follower) limbs. This system integrates robotics, data analytics, and user-centered design principles. The framework is structured into a three-layer architecture: Hardware Layer - encompassing sensors and robotic equipment, Data Layer - enabling synchronization between clinical and home settings, and Interface Layer - featuring a visualization platform embedded with human factors engineering principles.

This presentation highlights the human-centered design and development of a comprehensive rehabilitation data analytics dashboard. The dashboard empowers healthcare providers and physiotherapists to remotely monitor patient conditions and progress across the initial, middle, and final phases of therapy. It provides real-time movement data for enhanced remote monitoring and incorporates lightweight gamification elements to promote patient engagement.

Expected outcomes include the development of quantifiable metrics for assessing bimanual coordination and improved patient motivation through visual progress tracking and gamified rehabilitation activities. The study contributes to the field of rehabilitation science by offering objective tools for remote monitoring and a scalable framework for telerehabilitation.

Keywords:

telerehabilitation, post-stroke recovery, bimanual coordination, human factors engineering, visualization dashboard, data analytics,master-follower paradigm

Speaker Bio:

Dr. Chutiporn Anutariya is an Associate Professor and the Department Head in the Department of Information and Communications Technologies at the Asian Institute of Technology (AIT), Thailand. Dr. Anutariya graduated from AIT for both her Doctoral and Master's studies, and conducted her post-doctoral fellowship at the Norwegian University of Science and Technology, Norway. Her research interests include data modeling and management, data analytics, digital learning and educational technology, intelligent information systems, knowledge representation and knowledge management, open data and open government data, and Semantic Web, Ontology and Linked Data Technologies.

Time/Date:

13:00 - 14:00 April 18 (Friday), 2025

Place:

Room 1509 , NII

Contact:

If you would like to join, please contact by email.
Email :bono[at]nii.ac.jp