This study investigates the potential of customized robotic and visual feedback interaction to improve recovery of movements in stroke survivors. While therapists widely recognize that customization is critical to recovery, little is understood about how take advantage of statistical analysis tools to aid in the process of designing individualized training. Our approach first creates a model of a person's own unique movement deficits, and then creates a practice environment to correct these problems. Experiments will determine how the deficit-field approach can improve (1) reaching accuracy, (2) range of motion, and (3) activities of daily living. The findings will not only shed light on how to improve therapy for stroke survivors, it will test hypotheses about fundamental processes of practice and learning. This study will help us move closer to our long-term goal of clinically effective treatments using interactive devices.
This study investigates how robotic interaction and visual feedback can improve recovery of movements in stroke survivors, customized using statistical models of individual movement errors. We determine how our approach can be used to restore reaching accuracy, range of motion, and functional ability in activities of daily living.
|Abdollahi, Farnaz; Case Lazarro, Emily D; Listenberger, Molly et al. (2014) Error augmentation enhancing arm recovery in individuals with chronic stroke: a randomized crossover design. Neurorehabil Neural Repair 28:120-8|
|Dvorkin, Assaf Y; Bogey, Ross A; Harvey, Richard L et al. (2012) Mapping the neglected space: gradients of detection revealed by virtual reality. Neurorehabil Neural Repair 26:120-31|
|Sharp, Ian; Huang, Felix; Patton, James (2011) Visual error augmentation enhances learning in three dimensions. J Neuroeng Rehabil 8:52|
|Sharp, Ian; Patton, James; Listenberger, Molly et al. (2011) Haptic/graphic rehabilitation: integrating a robot into a virtual environment library and applying it to stroke therapy. J Vis Exp :|
|Reinkensmeyer, David J; Patton, James L (2009) Can robots help the learning of skilled actions? Exerc Sport Sci Rev 37:43-51|
|Wright, Zachary A; Rogers, Mark W; MacKinnon, Colum D et al. (2009) Startle stimuli reduce the internal model control in discrete movements. Conf Proc IEEE Eng Med Biol Soc 2009:4590-4|
|Rozario, Sylvester Vijay; Housman, Sarah; Kovic, Mark et al. (2009) Therapist-mediated post-stroke rehabilitation using haptic/graphic error augmentation. Conf Proc IEEE Eng Med Biol Soc 2009:1151-6|
|Patton, James; Small, Steven L; Zev Rymer, William (2008) Functional restoration for the stroke survivor: informing the efforts of engineers. Top Stroke Rehabil 15:521-41|