CVD prediction on micro-controller: ECG morphology learning approach

BB Borah, SMB Baruah, D Kakati, S Roy - Innovations in Systems and …, 2022 - Springer
Over the last decade, cardiovascular diseases are the leading contributors to premature
deaths all over the world. With current lifestyle and working conditions, individuals suffering …

Deep Learning-Based Algorithm for Prediction of Heart Disease using Electrocardiogram

R Ramya, A Anandh, PK Premkamal… - INFOCOMP Journal of …, 2024 - 177.105.60.18
Disease diagnosis in the hospitals is usually carried out by experts and experienced
medical practitioners. For an expert cardiologist, any anomaly over the heart rate can easily …

[PDF][PDF] Prediction and analysis of ECG signal behaviour using soft computing

NKS Sathawane, P Kshirsagar - International Journal of …, 2014 - impactjournals.us
The main cause of human death is cardiovascular disease (CVD) in today's world. In order
to combat and diagnose this disease, many professionals are using mobile …

ECG Signal Classification Based on Neural Network

B Al-Saffar, YH Ali, AM Muslim, HA Ali - International Conference on …, 2022 - Springer
Cardiovascular diseases (CVDs) are the world's leading cause of mortality. The current
method of diagnosing the disease is the analysis of an electrocardiogram (ECG). The …

Design and Implementation of Cardiac Arrhythmia Detection using Machine Learning Algorithm for Healthcare Application

C Tabhane, A Kature, M Dewalkar… - 2023 2nd …, 2023 - ieeexplore.ieee.org
This research paper presents a system for cardiac arrhythmia detection using the AD8232
integrated ECG sensor and machine learning algorithms. The AD8232 sensor offers high …

A Novel and Self Adapting Machine Learning Approach of ECG Signal Classification in Association with Cardiac Arrhythmia

P Rama Santosh Naidu, G Lavanaya Devi… - Proceedings of the …, 2022 - Springer
An irregular heartbeat is referred to as cardiac arrhythmia. It'sa condition in which the pulse
is either too slow or too quick. When electrical impulses in the heart do not operate properly …

ECG VisionSense: A Cloud-Deployed, Flask-Based Intelligent Cardiovascular Disease Diagnosis System

V Pendke, E Gawate, S Wasule… - … on Advancement in …, 2024 - ieeexplore.ieee.org
The Echocardiogram (ECG) classification has great importance due to prevailing nature of
ailments related to heart. The remote monitoring devices which record the heart activity are …

Computational Framework for Prediction of Cardiac Disorders by analyzing ECG signals Using Machine Learning Technique

K Ramesh, AN Duraivel, S Lekashri… - International Journal …, 2024 - dl.begellhouse.com
The clinical diagnosis of heart disorders relies heavily on electrocardiograms (ECGs).
Numerous abnormalities in heart are being identified with a record of heart signal …

Design and Development of Intelligent System For Detecting ECG Signal Abnormalities

A Wadhekar, DV Malode - 2nd International Conference on …, 2020 - papers.ssrn.com
The significance intention of this research work is to design a structure for predicting ECG
signal abnormalities. This proposed model incorporates three-section pre-processing …

Low-cost ecg monitoring system with classification using deep learning

H Saadi, M Ferroukhi, YL Elghandja… - … on Advances in …, 2023 - ieeexplore.ieee.org
Electrocardiogram (ECG) signals are widely used as one of the most important tests in
medical practice to assess the condition of a patient's heart by placing electrodes on the …