The iBeat Study is a single-center, prospective, unblinded validation of the photoplethysmography (PPG) and tissue oximetry (TO) signal waveforms recorded from a wrist-based sensor devices.
The goal of the proposed research is to validate PPG and TO signal waveforms recorded from a wist-based sensor device, which is worn on one or both arms, during catheter ablation, device interrogation, and defibrillation threshold testing (DFT). It is a non-invasive procedure that will include placing a wrist-based sensor on subjects who consent participate. Data collected from routine clinical care devices used during these procedures (catheter ablations, device interrogations, and DFTs) will confirm data collected from the iBeat wristwatch.
Study Type
OBSERVATIONAL
Enrollment
55
The participant will be asked to wear one iBeat wristwatch device on each arm during the planned procedure.
University of California, San Francisco
San Francisco, California, United States
Detect hemodynamic significant (e.g. Ventricular tachycardia, ventircular fibrillatio, supra ventricular tachycardia with fast ventricular rate, etc) arrhythmias using photoplethysmography
Detect hemodynamic significant arrhythmia using changes in photoplethysmography \[PPG\] as measured using a wrist-watch.
Time frame: Immediate
Detect hemodynamic significant (e.g. Ventricular tachycardia, ventircular fibrillatio, supra ventricular tachycardia with fast ventricular rate, etc) arrhythmias using tissue oxygenation
Detect hemodynamic significant arrhythmia using changes in tissue oxygenation as measured using a wrist-watch.
Time frame: Immediate
Detect benign arrhythmia (e.g. sinus tachycardia, atrial flutter, atrial fibrillation supra-ventricular tachycardia) using changes in photoplethysmography
Detect hemodynamic significant arrhythmia by using changes in photoplethysmography signal, as measured using a wrist-watch.
Time frame: Immediate
Detect benign arrhythmia (e.g. sinus tachycardia, atrial flutter, atrial fibrillation supra-ventricular tachycardia) using changes in tissue oxygenation
Detect hemodynamic significant arrhythmia by using changes in tissue oxygenation signal, as measured using a wrist-watch.
Time frame: Immediate
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