Development of meal assistance device for patients with spinal cord injury

The objective of this research is to develop a meal assistance device for patients, who lost the ability to move their own body except for the head and the neck due to disease, accidents, congenital factors, and aging. Main problems of existing conventional devices are “cost”, “size”, “complexity”, “appearance”, and “feeling of alive”. This paper tackles the above problems and explains structure of the developed device for meal assistance. The newly developed meal assistance device was made by 3D printers for cheap price and customizable. The developed assistance device has two degrees of freedom; translational motion for stab and rotational motion for bringing. In addition, the developed meal assistance device adopted a strategy of polar coordinate-based manual operation, which allows users to operate intuitively. The appearance of the developed device is not heavy compared with the conventional devices shaped like industrial robotic manipulators. Above mentioned features are important and gives competitive power especially in the medical care field requiring adaptation to individual demand. The developed meal assistance device succeeded to serve a meal toward the user's mouth in an experimental verification of a practical use.

[1]  R. Riener,et al.  Patient-cooperative strategies for robot-aided treadmill training: first experimental results , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[2]  Manfred Morari,et al.  Automatic gait-pattern adaptation algorithms for rehabilitation with a 4-DOF robotic orthosis , 2004, IEEE Transactions on Robotics and Automation.

[3]  M. Nakamura,et al.  Neural network-based hybrid human-in-the-loop control for meal assistance orthosis , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  S.J. Harkema,et al.  A Robot and Control Algorithm That Can Synchronously Assist in Naturalistic Motion During Body-Weight-Supported Gait Training Following Neurologic Injury , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[5]  Yoshiyuki Sankai,et al.  Meal-assistance by Robot Suit HAL using detection of food position with camera , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[6]  M J Mulcahey,et al.  Development of an upper extremity FES system for individuals with C4 tetraplegia. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[7]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[8]  R. Kirsch,et al.  EMG-based prediction of shoulder and elbow kinematics in able-bodied and spinal cord injured individuals. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.