Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches
نویسندگان
چکیده
منابع مشابه
Respiration signals from photoplethysmography.
Pulse oximetry is based on the technique of photoplethysmography (PPG) wherein light transmitted through tissues is modulated by the pulse. In addition to variations in light modulation by the cardiac cycle, the PPG signal contains a respiratory modulation and variations associated with changing tissue blood volume of other origins. Cardiovascular, respiratory, and neural fluctuations in the PP...
متن کاملRemoving artifacts from atrial epicardial signals during atrial fibrillation
Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice. Adaptive noise canceller (ANC) and independent component analysis (ICA) are powerful tools for separating signals from their mixtures. For better understanding of the mechanism and characteristics of AF, the artifacts were eliminated in the measured signals from atrial. We use ANC to subtract the influences...
متن کامل[Differentiating between atrial flutter and atrial fibrillation using right atrial bipolar endocardial signals].
INTRODUCTION AND OBJECTIVES Contemporary atrial pacemakers incorporate pacing modes for treating atrial arrhythmias. Because atrial fibrillation in the right atrium can exhibit an organized pattern, it can be difficult to differentiate from atrial flutter. We assessed criteria for discriminating between atrial flutter and organized atrial fibrillation when using a bipolar electrode in the right...
متن کاملRobot control system using SMR signals detection
One of the important issues in designing a brain-computer interface system is to select the type of mental activity to be imagined. In some of these systems, mental activity varies with user intent and action that must be controlled by the brain-computer system, and in a number of other signals, the received signals contain the same activity-related mental activity that should be performed by t...
متن کاملSmart detection of atrial fibrillation†
Aims Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice, and its paroxysmal nature makes its detection challenging. In this trial, we evaluated a novel App for its accuracy to differentiate between patients in AF and patients in sinus rhythm (SR) using the plethysmographic sensor of an iPhone 4S and the integrated LED only. Methods and results For signal a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2019
ISSN: 2045-2322
DOI: 10.1038/s41598-019-49092-2