A review of automated methods for detection of myocardial ischemia and infarction using electrocardiogram and electronic health records
There is a growing body of research focusing on automatic detection of ischemia and
myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI …
myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI …
[HTML][HTML] ECG-based heartbeat classification for arrhythmia detection: A survey
An electrocardiogram (ECG) measures the electric activity of the heart and has been widely
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
used for detecting heart diseases due to its simplicity and non-invasive nature. By analyzing …
[PDF][PDF] QRS detection and heart rate variability analysis: A survey
RJ Oweis, BO Al-Tabbaa - Biomed. Sci. Eng, 2014 - academia.edu
Cardiac-related diseases have been one major cause of death for an ever increasing
number of patients over the last few decades throughout the world. In response, automatic …
number of patients over the last few decades throughout the world. In response, automatic …
A novel ECG signal classification method using DEA-ELM
Electrocardiogram (ECG) signals represent the electrical mobility of the human heart. In
recent years, computer-aided systems have helped to cardiologists in the detection …
recent years, computer-aided systems have helped to cardiologists in the detection …
A pyramid-like model for heartbeat classification from ECG recordings
Heartbeat classification is an important step in the early-stage detection of cardiac
arrhythmia, which has been identified as a type of cardiovascular diseases (CVDs) affecting …
arrhythmia, which has been identified as a type of cardiovascular diseases (CVDs) affecting …
Feature extraction of ECG signal by using deep feature
The analysis and classification of Electrocardiogram (ECG) signals have become very
important tool to diagnose of heart disorders. Computer-aided techniques are generally …
important tool to diagnose of heart disorders. Computer-aided techniques are generally …
Automated detection of heart ailments from 12‐lead ECG using complex wavelet sub‐band bi‐spectrum features
RK Tripathy, S Dandapat - Healthcare technology letters, 2017 - Wiley Online Library
The complex wavelet sub‐band bi‐spectrum (CWSB) features are proposed for detection
and classification of myocardial infarction (MI), heart muscle disease (HMD) and bundle …
and classification of myocardial infarction (MI), heart muscle disease (HMD) and bundle …
A methodology for embedded classification of heartbeats using random projections
Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-
powered devices allowing the continuous monitoring and real-time interpretation of a …
powered devices allowing the continuous monitoring and real-time interpretation of a …
An extensible framework for ECG anomaly detection in wireless body sensor monitoring systems
Automatic anomaly detection from the sensor streams of the Electrocardiography requires
online techniques of data stream processing and analysis. The significant increase in the …
online techniques of data stream processing and analysis. The significant increase in the …
Early classification of pathological heartbeats on wireless body sensor nodes
Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-
powered devices allowing the continuous monitoring and real-time interpretation of a …
powered devices allowing the continuous monitoring and real-time interpretation of a …