A Novel Task-Specific Upper-Extremity Rehabilitation System with Interactive Game-Based Interface for Stroke Patients

被引:3
作者
Jayasree-Krishnan, Veena [1 ]
Gamdha, Dhruv [2 ]
Goldberg, Brian S. [3 ]
Ghosh, Shramana [1 ]
Raghavan, Preeti [4 ]
Kapila, Vikram [1 ]
机构
[1] NYU, Tandon Sch Engn, Dept Mech & Aerosp Engn, Brooklyn, NY 11201 USA
[2] Indian Inst Technol, Dept Mech Engn, Roorkee, Uttarakhand, India
[3] Binghamton Univ, Watson Sch Engn, Dept Mech Engn, Binghamton, NY USA
[4] NYU, Sch Med, Rusk Rehabil Ctr, New York, NY USA
来源
2019 INTERNATIONAL SYMPOSIUM ON MEDICAL ROBOTICS (ISMR) | 2019年
基金
美国国家科学基金会;
关键词
Stroke; rehabilitation; virtual environment; machine vision; pose estimation; MOTOR;
D O I
10.1109/ismr.2019.8710184
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
We present a novel task-specific upper-extremity rehabilitation system that uses an instrumented cup and an interactive gaming environment to promote patient engagement during repetitive rehabilitative exercise. The designed system tracks the movement of the cup as a stroke patient uses her forearm to perform a complex goal-oriented and task-specific activity, namely, grasping, lifting, and tilting the cup to drink from it. A force sensitive resistive sensor is mounted on the cup to constantly monitor the grasp force and the cup is endowed with rich features allowing a webcam to track and estimate its location and pose with the aid of state-of-the-art machine learning algorithms. This bi-manual forearm rehabilitation system is designed to enable stroke patients to perform an activity of daily living, namely, grasping, lifting, and tilting, repetitively, at their home as an exercise, so that they can relearn the motions of arm, wrist, and hand related to drinking.
引用
收藏
页数:7
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