11 Clinical Trials for Various Conditions
The purpose of this study is to determine whether neural block and neuromuscular electrical stimulation are effective in treating finger impairment due to stroke.
This study aims at comparing manual function outcomes between the standard of care and additional self-administered hand therapy after stroke. Strokes are common neurological injuries, and although rates of survival have increased in recent decades, survivors often continue to experience deficiencies in hand dexterity and bimanual function. Most motor recovery takes place within the first 3 months after a stroke. This initial period is necessary for stabilizing the patient but also provides different opportunities to foster motor recovery. Functional gains, including instances after the post-acute period, have been observed after regular and frequent (high dosage) therapy, suggesting that recovery is likely influenced by practice-driven sensorimotor learning. These findings motivate the implementation of daily therapeutic regimes beyond post-stroke hospitalization and basic motor function, aiming instead at addressing overlooked deficiencies in manipulation and bimanual coordination. While some hand therapy is often provided during outpatient therapy visits (the standard of care), self-administered sessions play a large role in implementing additional daily therapy. As a result, the investigators are interested in both the implementation of self-administered regimes and measuring clinical outcomes with and without self-administered therapy.
Rehabilitation of functional movements after spinal cord injury (SCI) requires commitment and engagement to the processes of physical therapy. Outcomes may be improved by techniques that strengthen cognitive connections between users and physical therapy exercises. The investigators will investigate combinations of virtual reality and innovative wearable technology to accelerate rehabilitation of hand grasp and reach. These devices use multi-sensory feedback to enhance the sense of agency, or feelings of control, and better train movements during physical rehabilitation exercises. The investigators will measure the effect of these devices on improving the speed, efficiency, and accuracy of performed movements in Veterans with SCI.
This study evaluates the effects of robot-assisted therapy for adults more than 6 months after stroke on upper limb functioning. Half of the participants will receive robot-assisted therapy for the arm affected by stroke, and the other half will receive robot-assisted therapy plus training in how to use the weaker arm during every day activities.
The study is about using a brain stimulation technique called rTMS (Repetitive Transcranial Magnetic Stimulation) to help improve hand muscles in people who had a stroke. Researchers want to understand how this device can help stroke patients use their hands better.
This study wants to know if using handheld dynamometry (HHD) to test leg strength in persons who have had a stroke, will reduce mistakes and give therapists better information to use for therapy. This study will collect normal values of leg muscle peak force production, cumulative peak force production, and sustained peak force production in patients with chronic stroke.
The Virtual Reality Glove for Hand and Arm Rehabilitation (vREHAB) trial is a randomized, controlled, phase 3 trial aiming to evaluate the safety, usability, and efficacy of a virtual reality biofeedback system (Neofect RAPAEL Smart Glove) to promote recovery of distal arm and hand function in the acute and subacute period after stroke, as compared to standard of care therapy. The aims of the study is to demonstrate: 1. the effect of Smart Glove use on functional recovery, in addition to standard of care rehabilitation therapy. 2. the feasibility of increasing the dose of rehabilitation in acute stroke patients with the Smart Glove. 3. the effect of Smart Glove use on quality of life.
Participants will receive intensive therapy through a video game in their own homes for 1 month. The game is operated by movements of the body (no controller needed) and acts like a virtual therapist. Participants will agree to play the game for 30 hours. They will also receive 4 home visits from a therapist designed to increase use of their arm for daily activities that are important to them. Participants will also receive a smart watch that will measure use of their weaker arm and alert them when their arm is not participating in activities. Arm strength and function will be measured before and after the therapy program.
Evaluation of a new EMG controlled game to improve hand function in chronic stroke survivors.
The goal of this clinical trial is to learn if wearable sensor data visualization on smartphones can improve the use of the stroke-affected limb during everyday activities. Chronic stroke survivors (\>12 months from onset) ages 18-80 years old with residual upper extremity motor impairments may be eligible to participate. The main question it aims to answer is: Does the mobile health (mHealth) intervention help to improve the use of the stroke-affected upper-limb during daily living? The study is designed so each participant serves as their own control. Researchers will compare information from the baseline, intervention, and retention time periods to see if visualizing the data on the smartphone impacts the participant's daily use of the arm. Participants will be asked to wear a set of wearable ring and wrist sensors and interact with a custom-designed smartphone app, aiming to increase the use of their stroke-affected limb during daily activities as much as possible. They will receive feedback from the app, communicate with study therapists, participate in goal setting, complete clinical assessments, and share about their experience using the system during a virtual interview.
A multi-center, prospective, randomized, controlled comparison of the prodisc C SK and prodisc C Vivo to the control, a similar, legally marketed total disc replacement device in subjects with symptomatic cervical disc disease (SCDD).