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Dysphagia, or difficulty swallowing, is a common symptom of many neurological diseases but its treatment is not well established or easily accessible. To start addressing this gap, the researchers developed and validated a cost-effective wearable surface electromyography (sEMG) biofeedback sensor technology (i-Phagia), optimized to record muscle activity from the head/neck and provide biofeedback to patients and adherence data to clinicians during swallow therapy. This system has been developed with commercially available and widely used materials and the Purdue University IRB has determined that the device is non-significant risk device. The goal of this clinical trial is to learn if this biofeedback (using this new technology/i-Phagia) when used as an adjunct to a standard swallow therapy protocol works to improve swallowing function in patients post chronic stroke or diagnosed with Parkinson's disease. It will also help the investigators learn whether this therapy protocol is equally effective when provided in-person versus via telehealth. Finally, it will determine which patient factors may influence how well the treatment works. The main questions it aims to answer are: * Does biofeedback (using this new technology/i-Phagia) when used as an adjunct to a standard swallow therapy protocol works better than a standard of care treatment to improve swallowing function in patients post chronic stroke or diagnosed with Parkinson's disease? * Is completing the swallow therapy protocol at home (via telehealth) as effective as completing it in-person (in the clinic)? * What factors related to the patients (e.g., age, diagnosis, etc.) may influence how well the treatment works? Participants will: * Complete a 12-week swallow treatment protocol (12 treatment visits) either in-person or at home (via telehealth) * Complete 3 in-person evaluations (pre-treatment; post-treatment; and at a 12-week post treatment follow-up time point) * Exercise at home several days per week and keep a diary/log of their home exercise The hypothesis is that upon study completion, the efficacy of sEMG biofeedback-facilitated swallow therapy for both in-person and telehealth service delivery in two neurogenic dysphagia populations will have been established, and variables determining response to treatment will begin to be identified.
The purpose of this study is to collect clinical data, biological specimens (e.g., blood, tumor, cerebrospinal fluid, urine sample, etc.), and digital health data from patients with tumors, cancer and/or neurological disorders in order to perform research studies that could advance patient care. By collecting these specimens, the investigators plan to create and maintain a biorepository to make data and specimens available to collaborating investigators performing research to discover predictive biomarkers, patterns of care, and personalized treatments that could directly improve the care of our patients through focused proof-of-concept clinical trials.
This study evaluates a wearable system (NEUSleeP) that combines overnight EEG recording with transcranial focused ultrasound (tFUS) targeted to deep brain structures involved in REM sleep regulation (e.g., subthalamic nucleus). The primary objective is to assess safety and estimate effects on REM sleep quantity and architecture; secondary objectives include changes in stress-related measures. Healthy adults aged 18-50, with or without subclinical sleep or stress complaints, will complete two consecutive overnight recordings: Night 1 (baseline, no stimulation) and Night 2 (tFUS, EEG-guided and timed to REM). Participants will complete stress questionnaires. fMRI is conducted using two paradigms: in an imaging-validation subset, pre- and post-stimulation scans are acquired in the same MRI-FUS session; in the two-night cohorts, scans are acquired the morning before and the morning after the FUS night to assess BOLD responses. Outcomes include REM time, REM percentage, number of REM periods, REM latency, safety/tolerability, and exploratory neuroimaging and self-reported stress measures. Findings will inform the feasibility of a wearable EEG-tFUS approach to modulate REM sleep and stress adaptation.
This study is to develop, test, and optimize a soft hip wearable robot for individuals who have experience a stroke.
The goal of this study is to determine the effectiveness of behavioral support and feedback from a wearable device that senses arm movement in improving upper extremity function in a pilot, randomized controlled trial with chronic stroke patients
The goal of this clinical trial is to determine the efficacy of a new, improved neuromodulation device that can be worn on the head and neck to relieve migraine pain. To measure efficacy, investigators will compare how measured outcomes resulting from active stimulation with this device compare to those of sham treatment.
The purpose of this study is to evaluate the safety and feasibility of using seizure forecasts based on subscalp EEG.
The purpose of this study is to see if wearable sensor technology can be used to evaluate muscle activity and/or identify atypical muscle tone in infants up to 48 weeks postmenstrual age (8 weeks corrected age). These sensors are placed on the surface of the skin and record data about a child's body movements and muscle activity.
To learn about occupational stress among surgeons and musicians by integrating psychological assessments, neurophysiological measures, and biomarkers.
Congenital heart disease (CHD) includes a wide variety of types of disease, including congenital abnormalities of the heart valves. This can range from bicuspid aortic valve and other aortic valve deformities to more complex disease such as tetralogy of Fallot. For many kinds of CHD, the optimal timing of interventions remains unclear. For instance, in tetralogy of Fallot, there is still equipoise about when to offer pulmonary valve replacement (PVR), while in aortic regurgitation, some patients can remain stable for many years. The primary focus of this study is to use continuous physiologic data (CPD), obtained using wearable biosensors (a type of biometric monitoring technology), to develop improved biomarkers of disease progression and prognosis from patients with congenital heart disease (CHD) who are pregnant while they are at home as well as looking at patients' experience and interaction with wearable biosensor technology at home.