BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data

by   Sarkar Snigdha Sarathi Das, et al.

The increasing popularity of smartwatches as affordable and longitudinal monitoring devices enables us to capture photoplethysmography (PPG) sensor data for detecting Atrial Fibrillation (AF) in real-time. A significant challenge in AF detection from PPG signals comes from the inherent noise in the smartwatch PPG signals. In this paper, we propose a novel deep learning based approach, BayesBeat that leverages the power of Bayesian deep learning to accurately infer AF risks from noisy PPG signals, and at the same time provide the uncertainty estimate of the prediction. Bayesbeat is efficient, robust, flexible, and highly scalable which makes it particularly suitable for deployment in commercially available wearable devices. Extensive experiments on a recently published large dataset reveal that our proposed method BayesBeat substantially outperforms the existing state-of-the-art methods.



There are no comments yet.


page 1


Nonlinearity Compensation in a Multi-DoF Shoulder Sensing Exosuit for Real-Time Teleoperation

The compliant nature of soft wearable robots makes them ideal for comple...

Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals

Nowadays, multi-sensor technologies are applied in many fields, e.g., He...

DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices

Wearable devices enable theoretically continuous, longitudinal monitorin...

Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems

The prompt and accurate detection of faults and abnormalities in electri...

Deep learning approach to control of prosthetic hands with electromyography signals

Natural muscles provide mobility in response to nerve impulses. Electrom...

Improving Regression Uncertainty Estimation Under Statistical Change

While deep neural networks are highly performant and successful in a wid...

Predicting Respiratory Anomalies and Diseases Using Deep Learning Models

In this paper, robust deep learning frameworks are introduced, aims to d...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.