A System for Real-Time Feedback to Improve Gait and Posture in Parkinson's Disease.

For people with Parkinson's disease (PD), gait and postural impairments can significantly affect their ability to perform activities of daily living. Presentation of appropriate cues has been shown to improve gait in PD. Based on this, a treadmill-based system and experimental paradigm were developed to determine if people with PD can utilize real-time feedback (RTFB) of step length or back angle (uprightness) to improve gait and posture.

Interdisciplinary concepts for design and implementation of mixed reality interactive neurorehabilitation systems for stroke.

Interactive neurorehabilitation (INR) systems provide therapy that can evaluate and deliver feedback on a patient's movement computationally. There are currently many approaches to INR design and implementation, without a clear indication of which methods to utilize best. This article presents key interactive computing, motor learning, and media arts concepts utilized by an interdisciplinary group to develop adaptive, mixed reality INR systems for upper extremity therapy of patients with stroke.

Design of a home-based adaptive mixed reality rehabilitation system for stroke survivors.

This paper presents the design of a home-based adaptive mixed reality system (HAMRR) for upper extremity stroke rehabilitation. The goal of HAMRR is to help restore motor function to chronic stroke survivors by providing an engaging long-term reaching task therapy at home. The system uses an intelligent adaptation scheme to create a continuously challenging and unique multi-year therapy experience.

Novel design of interactive multimodal biofeedback system for neurorehabilitation.

A previous design of a biofeedback system for Neurorehabilitation in an interactive multimodal environment has demonstrated the potential of engaging stroke patients in task-oriented neuromotor rehabilitation. This report explores the new concept and alternative designs of multimedia based biofeedback systems. In this system, the new interactive multimodal environment was constructed with abstract presentation of movement parameters.

Interactive multimodal biofeedback for task-oriented neural rehabilitation.

Previous studies have suggested that task-oriented biofeedback training may be effective for functional motor improvement. The purpose of this project was to design an interactive, multimodal biofeedback system for the task-oriented training of goal-directed reaching. The central controller, based on a user context model, identifies the state of task performance using multisensing data and provides augmented feedback, through interactive 3D graphics and music, to encourage the patients' self-regulation and performance of the task.