Arrhythmia classification of ECG signals using hybrid features

SM Anwar, M Gul, M Majid… - … mathematical methods in …, 2018 - Wiley Online Library
Automatic detection and classification of life‐threatening arrhythmia plays an important part
in dealing with various cardiac conditions. In this paper, a novel method for classification of …

Sudden Cardiac Death Detection by Using an Hybrid Method Based on TWA and Dictionary Learning: A Data Experimentation

NC Betancourt, M Flores-Calero, C Almeida - IEEE Access, 2023 - ieeexplore.ieee.org
Sudden Cardiac Death (SCD) is considered one of the main causes of mortality worldwide.
Understanding the origin of this heart disease continues to be a challenge for the scientific …

Supervised Learning by Correlating Electrocardiogram and Polysomnogram Features for Arrhythmia Prediction

S Aarathi, S Vasundra - NeuroQuantology, 2022 - search.proquest.com
Obstructive sleep apnea (OSA) and arrhythmia have correlated features. Although OSA
frequency raises arrhythmias independent of the patient's demographics or health risk …

Evaluation of Axial Spondyloarthritis

E Elshahawy, M Mortada, SA Elnaggar… - …, 2022 - search.proquest.com
Axial spondyloarthritis (AxSpA) is a chronic inflammatory disease that affects axial skeleton
(spine and sacroiliac joint) mainly causing severe pain and disability. Although that axial …

[PDF][PDF] Research Article Arrhythmia Classification of ECG Signals Using Hybrid Features

SM Anwar, M Gul, M Majid, M Alnowami - 2018 - academia.edu
Automatic detection and classification of life-threatening arrhythmia plays an important part
in dealing with various cardiac conditions. In this paper, a novel method for classification of …