Continuous Data Collection and Analysis for Stroke Prevention Using a Wearable Sensor
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| ClinicalTrials.gov Identifier: NCT03441022 |
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Recruitment Status :
Withdrawn
(Unable to obtain equipment from Sponsor to be able to proceed with the study.)
First Posted : February 22, 2018
Last Update Posted : September 14, 2021
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| Condition or disease | Intervention/treatment | Phase |
|---|---|---|
| Atrial Fibrillation | Device: Amiigo Watch Only Device: Amiigo Watch + BodyGuardian | Not Applicable |
| Study Type : | Interventional (Clinical Trial) |
| Actual Enrollment : | 0 participants |
| Allocation: | N/A |
| Intervention Model: | Single Group Assignment |
| Masking: | None (Open Label) |
| Primary Purpose: | Prevention |
| Official Title: | Continuous Data Collection and Analysis for Stroke Prevention Using a Wearable Sensor |
| Estimated Study Start Date : | July 15, 2021 |
| Estimated Primary Completion Date : | August 2021 |
| Estimated Study Completion Date : | August 2021 |
| Arm | Intervention/treatment |
|---|---|
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Experimental: Cardioversion
Amiigo watch during atrial fibrillation cardioversion. Optional sub-study: additional 30 days wearing Amiigo watch as well as BodyGuardian device.
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Device: Amiigo Watch Only
Subjects will be asked to wear a wrist band with capabilities to detect their heart rate or rhythm on the basis of PPG on either wrist around the time of their cardioversion procedure. Data will be acquired from the wrist band at the same time as the electrocardiogram (ECG) monitor to which subjects are hooked up for the purposes of the cardioversion.
Other Name: Cardioversion Device: Amiigo Watch + BodyGuardian Subjects will be sent home after the cardioversion with a 30 day heart monitor called the BodyGuardian. This device continuously monitors their heart rate and rhythm and they will wear this on the chest. Subjects will also wear the wrist monitor over the same 30 day period.
Other Name: Cardioversion plus 30 days |
- Watch Accuracy during Cardioversion [ Time Frame: Duration of cardioversion procedure ]Determine whether the R-R interval estimate from artifact-free non-invasive photoplethysmography sample waveform segments is a reasonable basis for a atrial fibrillation (AF) detection algorithm as compared to a gold standard measurement from ECG in the acute cardioversion setting
- Watch Accuracy compared to BodyGuardian [ Time Frame: 30 days ]Determine the accuracy of ambulatory photoplethysmography for detection of heart rhythm when compared with a wearable clinically available 30 day monitor (BodyGuardian) in terms of accuracy of AF detection.
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| Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
| Sexes Eligible for Study: | All |
| Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Male or female 18 years of age or older with a primary diagnosis of atrial fibrillation
- Willing and able to provide informed consent and follow the study protocol
- Clinically indicated planned restoration of normal rhythm
Exclusion Criteria:
- Unable to provide informed consent
- Unable to follow the study protocol
- Women who are pregnant
- Subjects with implantable devices (only if participating in phase 2-BodyGuardian processes/testing)
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03441022
| Principal Investigator: | Suraj Kapa, MD | Mayo Clinic |
| Responsible Party: | Suraj Kapa, Principal Investigator, Mayo Clinic |
| ClinicalTrials.gov Identifier: | NCT03441022 |
| Other Study ID Numbers: |
17-006346 1R43AG058516-01 ( U.S. NIH Grant/Contract ) |
| First Posted: | February 22, 2018 Key Record Dates |
| Last Update Posted: | September 14, 2021 |
| Last Verified: | September 2021 |
| Studies a U.S. FDA-regulated Drug Product: | No |
| Studies a U.S. FDA-regulated Device Product: | Yes |
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Cardioversion BodyGuardian Amiigo Wristband |
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Atrial Fibrillation Arrhythmias, Cardiac Heart Diseases Cardiovascular Diseases Pathologic Processes |

