Maestro Handheld Cardiac Monitor Validation

The purpose of this study is to demonstrate that the Maestro hand held heart monitor can accurately diagnose Atrial Fibrillation, atrial flutter or normal sinus rhythm in patients.

Completed

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Key information

Conditions

Cardiac Arrhythmia Arrhythmias, Cardiac Cardiovascular Diseases Heart Diseases Pathologic Processes Pathological Conditions, Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

University of Michigan Cardiovascular Center

Ann Arbor, Michigan, 48109, United States

About this study

The purpose of this study is to determine if Maestro can be used to detect heart arrhythmias, specifically atrial fibrillation in humans. Maestro will be used to measure heart rate and rhythm at the same time that patients are being monitored with a standard 3, 5, or 12 lead electrocardiogram (ECG) in a clinical setting. The recorded Maestro results will be compared to the ECG results to assess Maestro's accuracy.

Data will be analyzed by a pass/fail criterial. The data will be downloaded and printed for the investigators' interpretation who will first review and code the data from Meastro, blinded to the ECG findings. Then the investigators will interpret the ECG findings and the 2 sets of data will be compared. The ECG result is the true value with which to compare the Maestro result.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

ability to provide informed consent

Exclusion criteria

implanted pacemakers
open wounds or abrasions on their hands
prior damage to hands or thumbs precluding obtaining an ECG tracing

Treatment and study plan

Maestro ECG

Other

Telemetry is obtained through the Maestro handheld ECG device.

Primary outcomes

Sensitivity and Specificity of atrial fibrillation detection

Time frame: 6 seconds

Each sample acquired by the Maestro system will be automatically analyzed and rhythm categorized by the automated algorithm. This will then be assessed for accuracy and sensitivity and specificity for detection of atrial fibrillation will be calculated.

Sponsors and collaborators

Lead sponsor

University of Michigan

Other

Registry information

Important dates

Study start: 2013
Primary completion: 2017
Study completion: 2017
First posted: Nov 30, 2016
Registry last updated: Dec 8, 2017

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed