Wavelet Wristband with Fibricheck Algorithm for Atrial Fibrillation Detection

Photoplethysmography (PPG) is frequently used as a method to detect heart rate in commercial wearable sensors based on detection of the pulse rate (being a surrogate for heart rate). The technology is based on small variations in light intensity either by transmission through tissue or reflection. Pulsed blood flow in an artery causes small wave variations that can be detected by the sensors and translated into an estimated heart rate. Photoplethysmography is currently being studied with regard to detection of rhythm disorders, like atrial fibrillation. Heart rate variability and advanced pulse wave form analysis can be used to make algorithms to detect atrial fibrillation.

In this study we will evaluate the accuracy of the Wavelet wristband with Fibricheck algorithm for detection of atrial fibrillation in patients in the setting of an electrical cardioversion.

Patients will wear the device for at least 5 minutes before and after the procedure. The wristband will record the pulse rate and the result be compared to a standard 12-lead ECG.

Wavelet wristband with Fribricheck algorithm is accurate to identify atrial fibrillation

Patients will have a pre-cardioversion PPG recording of 5 minutes done baseline and a 12 lead electrocardiogram will be performed during the recording. The cardioversion will take place and all patients will have a post-cardioversion PPG recording for 5 minuts and a 12 lead ECG. No follow up is required.