Wearable sensors
DeviceParticipants will wear smartwatches and smartrings and this data will be used to design algorithms which seek to find associations between device data and recovery.
NCT Number: NCT06065319
The goal of this study is to collect wearable sensor data that the investigators hypothesize will be useful in future algorithm development for monitoring recovering of participants enrolled in cardiac rehabilitation programs. Participants will be provided one or more smartwatches and/or smart rings to wear during a 14 week study which includes 2 weeks of baseline data collection and a 12-week, 36-session cardiac rehabilitation program. They will capture a pre-assessment 6 minute walk tests and a post-assessment 6 minute walk test. They will otherwise conduct standard cardiac rehabilitation program procedures and our sensors will capture data and sleep information throughout the study period.
This study is active but is not currently recruiting participants.
18 year and older
All sexes
Observational
Ascension Health, Austin, Texas, United States
The goal of this study is to collect wearable sensor data that the investigators hypothesize will be useful in future algorithm development for monitoring the recovery of participants enrolled in cardiac rehabilitation programs. Participants will be provided one or more smartwatches and/or smart rings to wear during a 14 week study which includes 2 weeks of baseline data collection and a 12-week, 36-session cardiac rehabilitation program. They will capture a pre-assessment 6 minute walk tests and a post-assessment 6 minute walk test. They will otherwise conduct standard cardiac rehabilitation program procedures and our sensors will capture data and sleep information throughout the study period.
This work will use data from cardiac rehabilitation, captured from smartwatches, and data from rest/sleep, captured from smartwatches and smartrings, to see if there are trends in recovery that can be modeled. Recovery is measured as an improvement in 6 minute walk test performance over the course of cardiac rehabilitation.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Participants will wear smartwatches and smartrings and this data will be used to design algorithms which seek to find associations between device data and recovery.
Time frame: 12 weeks, 36 session cardiac rehabilitation
Improvement in the 6 minute walk test performance from pre assessment to post assessment
Texas A&M University
Other
Estimating Recovery in Cardiac Rehabilitation Using Mobile Health Technology and Personalized Machine Learning
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