Reseek-arrhythmia: Empirical evaluation of ResNet architecture for detection of arrhythmia

SU Haq, SU Bazai, A Fatima, S Marjan, J Yang, LY Por… - Diagnostics, 2023 - mdpi.com
Arrhythmia is a cardiac condition characterized by an irregular heart rhythm that hinders the
proper circulation of blood, posing a severe risk to individuals' lives. Globally, arrhythmias …

Arrhythmia classification using long short-term memory with adaptive learning rate

H Assodiky, I Syarif, T Badriyah - EMITTER International Journal …, 2018 - emitter2.pens.ac.id
Arrhythmia is a heartbeat abnormality that can be harmless or harmful. It depends on what
kind of arrhythmia that the patient suffers. People with arrhythmia usually feel the same …

Deep learning algorithm for arrhythmia detection

H Assodiky, I Syarif, T Badriyah - 2017 International Electronics …, 2017 - ieeexplore.ieee.org
Most of cardiovascular disorders or diseases can be prevented, but death continues to rise
due to improper treatment because of misdiagnose. One of cardiovascular diseases is …

A GPU-Accelerated Neural Network Approach for the Diagnosis of Heart Disease in Clinical Medicine

D Sasikala, B Gopi, V Sujatha, R Selvaraj - Artificial Intelligence and …, 2022 - Springer
In clinical medicine, medical practitioners use different methods to diagnose the patient.
Cardiac arrhythmia is the disease caused by the irregular condition of the human heartbeat …

Real-time detection and prediction of heart diseases from ecg data using neural networks

KV Sai Kiran, M Azman, E Nandu… - … Conference on Recent …, 2021 - Springer
Portable real-time continuous heart disease detection and/or prediction systems based on AI
could be exhaustive, as it addresses the various drawbacks of conventional ECG machines …

Support vector machine based sub-classification of arrhythmia using ECG signal

MS Dhaka, P Khetarpal, N Kumar - Proceedings of the International …, 2019 - papers.ssrn.com
A method, based on support vector machine (SVM) and discrete wavelet transform (DWT),
for automatic classification of arrhythmia using Electrocardiogram (ECG) is presented in this …

Application of Machine Learning in Cardiac Arrhythmia

GS Bhatia, S Athavale, Y Bhatia… - Design of Intelligent …, 2021 - taylorfrancis.com
This chapter focuses on the need for applying machine learning techniques toward the
detection of cardiac arrhythmia. It focuses on how machine learning can be used in the …

[PDF][PDF] Mobile Based System for Arrhythmia Disease Detection and Classification

SSAE Moneem, HH Said, AA Saad - academia.edu
Heart Rate Variability (HRV) is a measure of variation in the time interval between
consecutive heart beats. HRV analysis is highly sensitive for risks linked with cardiovascular …