348 Clinical Trials for Various Conditions
The CZI Rare As One study is a Chan Zuckerberg Initiative funded study that aims to co-design and pilot test unique symptom tracking and transmitting apps across 5 different sub-arms that includes individuals with Long COVID, Pancreatitis, Sarcoidosis, Vasolin-Containing Protein (VCP) disease and Primary Ciliary disease (PCD). This study aims to use multimodal digital health tools to enable patients to self-monitor their symptoms in passive and active ways.
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 goal of this decentralized, observational study is to enroll and observe adults in the contingent United States during the 2023-2024 flu season. The main study objectives are to create a dataset of paired wearable data, self-reported symptoms, and respiratory viral infection (RVI) from PCR testing during the 2023-2024 flu season and to develop algorithm that is able to accurately classify asymptomatic and symptomatic RVI and understand the algorithm's performance metrics.
The goal of this clinical trial in adults with obstructive sleep apnea prescribed positive airway pressure therapy is to test the effects of a new patient-facing consumer wearable-based program (that involves provision of a consumer wearable that measures oxygen levels during sleep plus customized weekly reports to participants). The main question is to learn whether participants' use of positive airway pressure therapy will differ between the participants who receive the new program immediately versus delayed. Participants assigned to the delayed program will receive usual care while waiting for the program to begin.
The goal is to investigate the feasibility and effects of adding "wearables for the bladder" devices to conventional pelvic floor physical therapy (PFPT) to bladder function, in people with multiple sclerosis (MS).
The Survivor mobile health (mHealth) study is testing the use of wearable devices (Fitbits) and a smartphone application in cancer survivors. The goal of the program is to increase survivor's physical activity levels. The Fitbit will be synced to the app and participants will receive messages and notifications about their activity levels. Participants will also complete surveys through the app asking how useful it is and ways to improve it. The study team will conduct qualitative interviews at the completion of the 3 months to see how participants liked the program, and ways it can be improved and make it more specific to cancer survivors. The study team will also conduct interviews with providers and clinic staff to assess their perceptions of patient digital health programs and preferences for receiving patient-generated health data.
This is a prospective, multi-center, sham-controlled study comparing the safety and effectiveness of the self-adjusting, surgery-free, wearable Active System to a Sham System on adult Subjects diagnosed with OAB.
This study aims to develop, evaluate, and commercialize an in-home supportive technology that is designed to alleviate anxiety, burden, and loneliness in spousal and familial caregivers of individuals with Alzheimer's disease, other dementias, or mild cognitive impairment by integrating wearable devices (e.g., Apple Watches).
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 will perform an early Phase I feasibility study with single-arm, double-baseline repeated measured design. The investigators will test the feasibility of using focal vibration to improve symptoms of persistent CIPN.
The purpose of this study is to conduct a comprehensive clinical and biomechanical screening of high school, collegiate-level, recreational, and Olympic/professional-level athletes with the goal of identifying individual functional and performance deficits that lead to future injury.
The investigators will perform a pilot 4-week at home study with 48 individuals with stroke and 10 therapists working with stroke patients to examine the feasibility and effect of a wearable focal muscle vibration device on upper limb strength and function.
The purpose of this project is to devise instrumented insoles capable of accurately measuring gait at each footfall, over multiple hours in any environment. To achieve high accuracy, the investigators will develop a new learning-based calibration framework. Features will be tested in controlled lab settings 39 during a single visit in people with SMA (13), DMD (13) and healthy controls (13) and in 15 participants in real-life environments.
Pilot study of flexible and wearable sensor to monitor nocturnal scratching behavior
The purpose of this study is to evaluate the feasibility of detecting atrial fibrillation (AF) in patients with AF using a wearable wrist device/smart watch.
Subjectivity, cost-effectiveness, and inconsistent reporting limit monitoring after total knee arthroplasty (TKA). This prospective study leverages machine learning wearable technology to remotely monitor patients before and after TKA with fidelity and reliability, without sacrificing safe triage needing increased perioperative attention. Patients will download a mobile app that pairs with a "smart" knee sleeve to (1) monitor activity via daily step count, (2) solicit patient-reported outcomes, (3) calculate max flexion, and (4) provide physical therapy compliance data. The primary objective of this study is to determine validity and acceptability of the technology; secondary objectives include perioperative benchmarking with characterization of post-operative recovery trajectories.
This is a prospective, interventional study designed to provide preliminary data on the human use of the WAK. Up to 10 subjects currently receiving intermittent hemodialysis (HD) treatment three times per week for end-stage renal disease (ESRD) via an indwelling tunneled catheter will be studied.
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.
The goal of this observational study is to confirm the accuracy of the sleep algorithm (software) used in the Rhythm Express Wearable System to detect sleep apnea severity. The study involves participants wearing the RX-1 mini cardiac monitor on their chest and a pulse oximeter during a traditional sleep test, known as polysomnography (PSG), conducted in a sleep center. The performance of the device will be evaluated by comparing the results from the Rhythm Express Wearable System with those from the traditional Polysomnography(PSG). Participants will: 1. Complete a Screening Visit to confirm they are eligible to participate in the study. 2. Be trained on the use of the Rhythm Express Wearable System. 3. Wear the RX-1 mini cardiac monitor on their chest for 3-5 days/nights. 4. Wear a pulse oximeter for 2 nights before a scheduled sleep study. 5. Complete a sleep study while wearing the Rhythm Express Wearable System. 6. Complete a telephone follow-up visit 5-10 days after the sleep study.
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.
The proposed study is a two-arm randomized clinical trial designed to assess the effects of the StrokeWear system on clinical outcomes over a period of 6-months in subacute stroke survivors. The Intervention group will use StrokeWear system in combination to a motor and behavioral home intervention whereas the Control group will follow usual care which consists of a home-exercise plan (HEP).
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.
The COR-INSIGHT trial aims to evaluate the effectiveness of Peerbridge COR advanced ambulatory ECG wearables (COR 1.0 and COR 2.0) in accurately and non-invasively detecting cardiovascular and cardiopulmonary conditions using AI-based software (CardioMIND and CardioQSync). The study devices offer non-invasive, multiplexed, AI-enabled direct-from-ECG detection as a novel alternative to traditional diagnostic methods, including imaging, hemodynamic monitoring systems, catheter-based devices, and biochemical assays. Continuous COR ECG data collected in hospital, outpatient clinic, or home settings will be analyzed to evaluate the predictive accuracy, sensitivity, specificity, and performance of these devices in differentiating between screen-positive and screen-negative subjects. The panel of screened indications encompasses a broad spectrum of clinically relevant cardiovascular, cardiopulmonary, and sleep-related diagnostic parameters, which are critical for advanced patient assessment and management. In the cardiovascular domain, the protocol emphasizes the detection and classification of heart failure, assessment of ejection fraction severity, and identification of myocardial infarction, including pathological Q-waves and STEMI. It further addresses diagnostic markers for arrhythmogenic conditions such as QT interval prolongation, T-wave alternans, and ventricular tachycardia, as well as insights into ischemia, atrial enlargement, ventricular activation time, and heart rate turbulence. Additional parameters, such as heart rate variability, pacing efficacy, electrolyte imbalances, and structural abnormalities, including left ventricular hypertrophy, contribute to comprehensive cardiovascular risk stratification. In the non-invasive cardiopulmonary context, the protocol incorporates metrics like respiratory sinus arrhythmia, cardiac output, stroke volume, and stroke volume variability, providing critical insights into hemodynamic and autonomic function. The inclusion of direct-from-ECG metrics for sleep-related disorders, such as the apnea-hypopnea index, respiratory disturbance index, and oxygen saturation variability, underscores the protocol's utility in addressing the intersection of cardiopulmonary and sleep medicine. This multifaceted approach establishes a robust framework for precision diagnostics and holistic patient management. The COR 1.0 and COR 2.0 wearables provide multi-lead ECG recordings, with COR 2.0 offering extended capabilities for cardiopulmonary metrics and longer battery life (up to 14 days). COR 2.0 supports tri-modal operations: (i) Extended Holter Mode: Outputs Leads II and III, mirroring the functionality of COR 1.0 for broader ECG monitoring applications. (ii) Cardiopulmonary Mode: Adds real-time recording of Lead I, V2, respiratory impedance, and triaxial accelerometer outputs, providing advanced cardiopulmonary insights. (iii) Real-Time Streaming Mode: Streams data directly to mobile devices or computers via Bluetooth Low Energy (BLE), enabling real-time waveform rendering and analysis. The COR 2.0 units are experimental and not yet FDA-cleared. Primary endpoints include sensitivity (true positive rate) \> 80%, specificity (true negative rate) \> 90%, and statistical agreement with reference devices for cardiovascular, cardiopulmonary, and sleep metrics. Secondary endpoints focus on predictive values (PPV and NPV) and overall diagnostic performance. The study employs eight distinct sub-protocols (A through H) to address a variety of cardiovascular, cardiopulmonary, and sleep-related diagnostic goals. These sub-protocols are tailored to specific clinical endpoints, varying in duration (30 minutes to 14 days) and type of data collection. Up to 15,000 participants will be enrolled across multiple sub-protocols. Screening ensures eligibility, and subjects must provide informed consent before participation. Dropouts and non-compliant subjects will be excluded from final analyses.
This study will assess the ability of a wearable stethoscope to monitor wheezing in high-risk asthma patients admitted at Children's Healthcare of Atlanta. This study is important to assist in the health management of patients with chronic lung diseases that can experience exacerbations leading to their health worsening and requiring hospitalization. The population that will be approached for this study will include 10 pediatric subjects hospitalized at Children's Healthcare of Atlanta for an asthma-related exacerbation. Participants will wear the patches for up to 8 hours on their chest and back wall from their date of consent until their hospital discharge. This may range from the participant taking part in 1 to 14 visits that could last up to 8 hours.
This is a single-site study using wearable sensor technology (CGM and smartwatch) to better explain low blood sugars in patients living with type 1 diabetes. Up to 20 participants with T1D will wear a continuous glucose monitor (CGM) and a smartwatch to collect information about hypoglycemia (low blood sugar), heart rate variability (HRV), and sleep for 4 weeks. The main goal is to create a hypoglycemia risk score using wearable sensor metrics that can be easily applied to all patients with T1D to identify those at greater risk of hypoglycemia.
A randomized controlled trial of impact of wearable, wireless breast pumps on how often and how much milk mothers of premature infants can pump.
This prospective, multicenter, cluster-randomized controlled study aims to evaluate the accuracy of an investigational artificial intelligence (AI) Software as a Medical Device (SaMD) designed to compute ejection fraction (EF) severity categories based on the American Society of Echocardiography's (ASE) 4-category scale. The software analyzes continuous ECG waveform data acquired by the FDA-cleared Peerbridge COR® ECG Wearable Monitor, an ambulatory patch device designed for use during daily activities. The AI software assists clinicians in cardiac evaluations by estimating EF severity, which reflects how well the heart pumps blood. In this study, EF severity determination will be made using 5-minute ECG recordings collected during a 15-minute resting period with participants seated upright. The results will be compared to EF severity obtained from an FDA-cleared, non-contrast transthoracic echocardiogram (TTE) predicate device. This comparison aims to validate the accuracy of the AI software.
The purpose of this study is to pilot test the feasibility of providing patients diagnosed with a hematologic malignancy, undergoing an allogeneic bone marrow transplant, a wearable device and smartphone app (similar to a Fitbit), that would send personalized reminders to move during their post-transplant inpatient hospital stay to promote physical recovery and well-being.
This research study is testing body-worn sensors to measure movement during simple tests of coordination, in order to evaluate the progression and severity of Spinocerebellar ataxia.