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Lempel–Ziv complexity and Shannon entropy-based support vector clustering of ECG signals
(Universidad de Carabobo, 2015-04)
This work presents a Support Vector Machine (SVM)-based clustering method to cluster normal and pathological ECG signals on a Lempel-Ziv (LZ) complexity and Shannon entropy (SE) space. One normal ECG and three ECG signals ...
A Conversion Algorithm for ECG signals on a 2D array based on Digital Signal Processing
(Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
This work proposes a computational algorithm to convert digital files containing electrocardiogram (ECG) information into 1D signals. Many medical databases have in storage files containing ECG information that is not easy ...
ECG Monitoring Using Android Mobile Phone and Bluetooth
(Ieee, 2015-01-01)
This paperwork describes the development and test of circuitry and software to enable the use of Android mobile phones equipped with Bluetooth to receive the incoming electrocardiogram (ECG) signal from a user and show it ...
ECG simulator for testing and servicing cardiac monitors and electrocardiographs
(2011-01-01)
This paperwork presents the design and test of a microcontroller-based ECG (electrocardiogram) simulator. The ECG simulator is capable of generating nine ECG signals and a calibrated square wave (1 Hz, 1 mV at Lead II). ...
A wavelet-based method for power-line interference removal in ECG signals
(Sociedade Brasileira de Engenharia Biomédica, 2018-03)
ECG monitoring using Android mobile phone and Bluetooth
(2015-01-01)
This paperwork describes the development and test of circuitry and software to enable the use of Android mobile phones equipped with Bluetooth to receive the incoming electrocardiogram (ECG) signal from a user and show it ...
Robust automated cardiac arrhythmia detection in ECG beat signals
(Springer, 2018-02-01)
Nowadays, millions of people are affected by heart diseases worldwide, whereas a considerable amount of them could be aided through an electrocardiogram (ECG) trace analysis, which involves the study of arrhythmia impacts ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network
Cardio-vascular diseases are one of the foremost causes of mortality in today’s world. The prognosis for cardiovascular diseases is usually done by ECG signal, which is a simple 12-lead Electrocardiogram (ECG) that gives ...