Wearable device data in people with or at risk of heart failure
Studies heart rate and activity data from wearable devices in adults with heart failure.
Plain-language title generated from the registry record
Registry title: Wearable Technology in Heart Failure Patients
Key facts
- Where
- Cleveland, United StatesSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 85 years old?
Source: NCT07650669, who can take part
Where in United States
- Cleveland ClinicCleveland, United StatesNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- The Cleveland Clinic
- Trial code
- NCT07650669
- Record updated
- 28 September 2026
- Original description
The primary objective is to establish a Cleveland Clinic-led registry designed to integrate continuous physiological data from consumer wearables, captured by the HeartBit app and a Case Western Reserve University (CWRU)-based platform, with clinical data from patients' individual Electronic Health Record (EHR). This proposal is for understanding the use of personal wearable devices (such as: Fitbit, and Apple Watch) to gather physiological data (such as: heart-rate, steps taken, sleep cycles, and calories expended) and correlate those data with self-reported health status. The research team intends to collect all of the data generated by the participant's personal wearable devices and to perform an integrated analysis of the physiological data generated by the wearable devices. The investigators specifically aim to uncover patterns from the data that they can evolve models from. The investigators' goal is to better predict and diagnose the adverse effects associated with daily lifestyle, including cardiovascular risk, musculoskeletal, metabolic risks, stress, and sleep disturbances. These data may be used to better understand the daily habits and lifestyle choices to possibly predict a person's health and disease risk to provide a more comprehensive diagnosis with early recognition and prevention. As wearable devices become more accurate and cheaper to purchase for the general public, integrative analysis of wearable data from multiple devices may lead to models that can be used by clinicians and basic scientists to make inferences about the daily lifestyle and its effects on health and disease.Read full original descriptionShow less
Integration of Wearable Technology Data in Patients With or at Risk of Heart Failure
The primary objective is to establish a Cleveland Clinic-led registry designed to integrate continuous physiological data from consumer wearables, captured by the HeartBit app and a Case Western Reserve University (CWRU)-based platform, with clinical data from patients' individual Electronic Health Record (EHR). This proposal is for understanding the use of personal wearable devices (such as: Fitbit, and Apple Watch) to gather physiological data (such as: heart-rate, steps taken, sleep cycles, and calories expended) and correlate those data with self-reported health status. The research team intends to collect all of the data generated by the participant's personal wearable devices and to perform an integrated analysis of the physiological data generated by the wearable devices. The investigators specifically aim to uncover patterns from the data that they can evolve models from. The investigators' goal is to better predict and diagnose the adverse effects associated with daily lifestyle, including cardiovascular risk, musculoskeletal, metabolic risks, stress, and sleep disturbances. These data may be used to better understand the daily habits and lifestyle choices to possibly predict a person's health and disease risk to provide a more comprehensive diagnosis with early recognition and prevention. As wearable devices become more accurate and cheaper to purchase for the general public, integrative analysis of wearable data from multiple devices may lead to models that can be used by clinicians and basic scientists to make inferences about the daily lifestyle and its effects on health and disease.
Inclusion: Participants must be between 18 and 85 years of age; Participants must have a diagnosis of heart failure or be identified as at risk of developing heart failure; Participants must either own or be willing to acquire a compatible personal consumer-grade wearable device (such as Fitbit and Apple Watch) and must enroll via the HeartBit app.
Exclusion: Individuals presenting with cognitive impairments or mental incapacity that would impede their understanding of, or cooperation with, the study protocol.