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This study will critically examine the feasibility, safety and efficacy of HBOT during inpatient rehabilitation (IPR) after acute ischemic stroke measured by non-disruption of 3 hours of daily therapy, frequency of neurological deterioration or complications (seizure, hemorrhage, brain edema), and functional communication, activities of daily living (ADLs) and mobility.
The goal of this clinical trial is to evaluate whether our transitional care program helps stroke survivors better manage their risk factors for stroke to lower the risk of a repeat stroke. The main question it aims to answer is: - Does the program help participants meet the targets set by the American Heart Association clinical guidelines for control of risk factors associated with stroke? Researchers will compare participants enrolled right after being discharged from the hospital to participants enrolled around 3-5 months after being discharged to examine whether timing differences in enrollment affect the efficacy of the program. Participants will: * Keep track of their medications, their exercise, and their health information using smart devices provided by the study * Answer questions about their health and lifestyle * Meet with our team of healthcare providers
Using the CorTec Brain Interchange (BIC) System, we will examine the effect of a plasticity-inducing therapy regime on the rehabilitation of upper limb impairment post-stroke. This study's main objective is to implement and evaluate neuroplasticity-inducing stimulation. The stimulation methods for inducing neuroplasticity have been selected based on prior preclinical and intraoperative work that has shown promise in providing rehabilitative benefits for stroke patients. We will be structuring this study as an open prospective feasibility study.
People living with the cognitive effects of stroke are at risk for recurrent stroke and further cognitive decline. Also problematic is that stroke risk clusters in families and biological family members of people who have ischemic stroke may also be at increased risk of stroke and/or cognitive decline. The primary goal of this study is to test the feasibility of a virtually delivered cognitive strategy training and health coaching program to reduce vascular risk and promote brain health in persons with stroke and their biological family members.
This is a single-center, pilot study of up to 25 subjects with residual upper extremity deficits at least six months after an ischemic stroke. The purpose of the study is to evaluate the initial clinical safety, device functionality, and treatment effect of non-invasive electrical stimulation of the trigeminal and/or vagus nerves (nTVNS) using the NeuraStasis Stimulator System adjunctive to rehabilitation. Subjects will either receive the intervention or control-sham stimulation. The study will inform the design and implementation of a pivotal study.
The aim of this study is to compare the effectiveness of 6-weeks of reactive balance training (REACT) with and without neuromuscular electrical stimulation (NMES) to paretic lower limb muscles on biomechanical, clinical, neuromuscular and neuroplastic outcomes of reactive balance control. This project is a Phase-I study and incorporates a double-blinded, randomized controlled trial design. Methods: Forty-six individuals with chronic stroke will be recruited and screened for determining their eligibility for the study. Once enrolled, they will be randomized into either of the two groups: intervention group (23 participants) and control group (23 participants). Both groups will undergo series of pre-training assessments which includes a postural disturbance in the form of a slip- or trip-like perturbations and walking tests in laboratory environment. After the pre-training assessment, individuals will undergo 6-weeks of training (2 hour per session, 2 sessions per week). The intervention group will receive NMES with the REACT training and the control group will receive ShamNMES. NMES will be applied to the different muscle groups of the paretic lower limb using an advanced software which is able to synchronize muscle activation with the time of perturbation onset and according to the phases of gait. After training, both groups will again be tested on all the assessments performed pre training. This study will help us understand the immediate therapeutic and mechanistic effects of REACT+NMES and inform stroke rehabilitation research and clinical practice. Our study will provide foundational evidence for future use of NMES to implement clinically applicable neuromodulation adjuvants to reactive balance training, which could be leveraged for designing more effective future interventions for fall-risk reduction.
The purpose of this research is to better understand the impact of cortically-induced blindness (CB) and the compensatory strategies subjects with this condition may develop on naturalistic behaviors, specifically, driving. Using a novel Virtual Reality (VR) program, the researchers will gather data on steering behavior in a variety of simulated naturalistic environments. Through the combined use of computer vision, deep learning, and gaze-contingent manipulations of the visual field, this work will test the central hypothesis that changes to visually guided steering behaviors in CB are a consequence of changes to the visual sampling and processing of task-related motion information (i.e., optic flow).
The objective of this study is to evaluate the efficacy of the COOLSTAT® Transnasal Thermal Regulating Device in reducing temperature in a population of febrile subjects who meet the inclusion/exclusion criteria.
The purpose of this study is to evaluate the limb functional improvement after contralateral C7 root transfer in stroke patients.
Atrial Fibrillation (AF) is an abnormal heart rhythm. Because AF is often asymptomatic, it often remains undiagnosed in the early stages. Anticoagulant therapy greatly reduces the risks of stroke in patients diagnosed with AF. However, diagnosis of AF requires long-term ambulatory monitoring procedures that are burdensome and/or expensive. Smart devices (such as Apple or Fitbit) use light sensors (called "photoplethysmography" or PPG) and motion sensors (called "accelerometers") to continuously record biometric data, including heart rhythm. Smart devices are already widely adopted. This study seeks to validate an investigational machine-learning software (also called "algorithms") for the long-term monitoring and detection of abnormal cardiac rhythms using biometric data collected from consumer smart devices. The research team aims to enroll 500 subjects who are being followed after a stroke event of uncertain cause at the Emory Stroke Center. Subjects will undergo standard long-term cardiac monitoring (ECG), using FDA-approved wearable devices fitted with skin electrodes or implantable continuous recorders, and backed by FDA-approved software for abnormal rhythm detection. Patients will wear a study-provided consumer wrist device at home, for the 30 days of ECG monitoring, 23 hours a day. At the end of the 30 days, the device data will be uploaded to a secure cloud server and will be analyzed offline using proprietary software (called "algorithms") and artificial intelligence strategies. Detection of AF events using the investigational algorithms will be compared to the results from the standard monitoring to assess their reliability. Attention will be paid to recorded motion artifacts that can affect the quality and reliability of recorded signals. The ultimate aim is to establish that smart devices can potentially be used for monitoring purposes when used with specialized algorithms. Smart devices could offer an affordable alternative to standard-of-care cardiac monitoring.