@article {1864, title = {Upper Extremity Exoskeletons for Robot Aided Rehabilitation}, journal = {Mechanical Engineering}, volume = {136}, number = {9}, year = {2014}, month = {09}, pages = {S6-S11}, abstract = {

Neurological injuries, including stroke and spinal cord injury, typically result in significant motor impairments. These impairments negatively impact an individual{\textquoteright}s movement coordination, in turn affecting their ability to function independently. Intensively repetitous motion training has proven to restore some motor function after neurological injuries. This training is often labor-intensive and costly. By enabling therapists to train their patients intensively through consistent, repeatable movements, robotic rehabilitation systems offer a cost-effective solution requiring less labor and effort. The design of upper limb robotic therapy devices has been a topic of research for over two decades. Early devices were end-effector based, and guided the motion of a patient{\textquoteright}s hand to desired positions. Hardware and software designs emphasized the safety of the robotic devices, using control methods specifically designed to ensure safe interaction forces between the user and the device.

}, keywords = {5400:Research \& development, 9190:United States, Cost reduction, Engineering{\textendash}Mechanical Engineering, Medical research, Neurological disorders, Robotics, United States{\textendash}US}, isbn = {00256501}, url = {https://search.proquest.com/docview/1559578916?accountid=7064}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/sergi2014asmesmall.pdf}, author = {Sergi,Fabrizio and Blank,Amy and O{\textquoteright}Malley,Marcia} } @proceedings {1685, title = {Understanding the Role of Haptic Feedback in a Teleoperated Grasp and Lift Task}, year = {2013}, month = {04/2013}, pages = {271-276}, abstract = {

Achieving dexterous volitional control of an upper-limb prosthetic device will require multimodal sensory feedback that goes beyond vision. Haptic display is well-positioned to provide this additional sensory information. Haptic display, however, includes a diverse set of modalities that encode information differently. We have begun to make a comparison between two of these modalities, force feedback spanning the elbow, and amplitude-modulated vibrotactile feedback, based on performance in a functional grasp and lift task. In randomly ordered trials, we assessed the performance of N=11 participants (8 able-bodied, 3 amputee) attempting to grasp and lift an object using an EMG controlled gripper under three feedback conditions (no feedback, vibrotactile feedback, and force feed-back), and two object weights that were undetectable by vision. Preliminary results indicate differences between able-bodied and amputee participants in coordination of grasp and lift forces. In addition, both force feedback and vibrotactile feedback contribute to significantly better task performance (fewer slips) and better adaptation following an unpredicted weight change. This suggests that the development and utilization of internal models for predictive control is more intuitive in the presence of haptic feedback.

}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/WH2013_FINAL_PRESS_Brown_et_al.pdf}, author = {Jeremy D. Brown and Andrew Paek and Mashaal Syed and Marcia K. O{\textquoteright}Malley and Patricia Shewokis and Jose L. Contreras-Vidal and R. B. Gillespie} }