Atrial Fibrillation: A Medical and Technological Review

09/18/2021
by   Samayan Bhattacharya, et al.
0

Atrial Fibrillation (AF) is the most common type of arrhythmia (Greek a-, loss + rhythmos, rhythm = loss of rhythm) leading to hospitalization in the United States. Though sometimes AF is asymptomatic, it increases the risk of stroke and heart failure in patients, in addition to lowering the health-related quality of life (HRQOL). AF-related care costs the healthcare system between 6.0 to26 billion each year. Early detection of AF and clinical attention can help improve symptoms and HRQOL of the patient, as well as bring down the cost of care. However, the prevalent paradigm of AF detection depends on electrocardiogram (ECG) recorded at a single point in time and does not shed light on the relation of the symptoms with heart rhythm or AF. In the recent decade, due to the democratization of health monitors and the advent of high-performing computers, Machine Learning algorithms have been proven effective in identifying AF, from the ECG of patients. This paper provides an overview of the symptoms of AF, its diagnosis, and future prospects for research in the field.

READ FULL TEXT
02/12/2016

Identifying Diabetic Patients with High Risk of Readmission

Hospital readmissions are expensive and reflect the inadequacies in heal...
07/25/2022

LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification

Cardiovascular diseases (CVDs) are a group of heart and blood vessel dis...
07/27/2022

Internet of Things (IoT) based ECG System for Rural Health Care

Nearly 30 poverty level. Moreover, due to the unavailability of moderniz...
09/13/2021

Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy

Heart failure (HF) is a leading cause of morbidity, mortality, and healt...
01/20/2020

A point-wise linear model reveals reasons for 30-day readmission of heart failure patients

Heart failures in the United States cost an estimated 30.7 billion dolla...
11/23/2021

End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldw...
04/09/2021

Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling

Supervised machine learning applications in health care are often limite...