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Translating Research into Recovery
For those with aphasia — a disorder challenging language production and processing — the ability to communicate could be right at their fingertips.
Blog

About Henry B. Betts, MD, LIFE Center
A resource center that provides patient education for people living with cognitive and physical impairments, chronic conditions or diseases affecting function.
Page
Integrating Brain and Muscle Feedback for Hand Recovery
We will develop and evaluate a collaborative technology that combine biofeedback of two neural signals — EEG and EMG to promote movement therapy.
Research Project

Stretching for Dancers
As a dancer, it is important to maintain both strength and flexibility. Dancing demands a level of control and stability while performing dynamic movements, requiring a greater range of motion than most other sports.
Blog
Integrating Brain and Muscle Feedback for Hand Recovery
We will develop and evaluate a collaborative technology that combine biofeedback of two neural signals — EEG and EMG to promote movement therapy.
Page

Motor control development continues longer than previously believed
This research reveals the potential to use therapy to improve the motor control skills of children suffering from neurodevelopmental disorders such as CP.
In the News

DayRehabCenter®
Our DayRehabCenter® Program sets the standard for patients who no longer require hospitalization, but still need intensive, coordinated rehabilitation care.
Service

Contributions of Shortening/Lengthening Responses to Multi-Joint Stretch Reflex Response in Able-Bodied Individuals
Our research addresses the role of multijoint stretch reflexes in the control of posture and movement in unimpaired human subjects.
Research Project

Communication Support Strategies for Patients with Aphasia & Cognitive Communication Disorders: An Updated Conversation for Healthcare Providers
Online Learning

C-STAR Webinar: Cortical Activity Indexes Distinct Aspects of Balance Function in Health, Aging & Disease
Online Learning
Improving Control of Robotic Hand Prostheses
This project uses a computer algorithm that can learn patterns and determine what movement the user intends to make. The user can thus control the prosthesis.
Research Project