Add to ORKGThis work describes a Matlab tool originally developed in the HeartCycle European project and updated during the cardioRisk project. It addresses the analysis of the electrocardiogram (ECG) signal in the context of the management of heart failure (HF) patients. The toolbox is composed of six modules, focusing on the major clinical aspects relevant to HF diagnosis: signal delineation, detection of auricular and ventricular arrhythmias, ST segment deviation, and heart rate variability analysis. The effectiveness of the algorithms was validated using private and public datasets
The mainpart of this thesis is about the developing of a new analysis tool to be used in Zenicor Med...
More than 60,000 people die suddenly each year in France due to cardiac arrhythmias. The current tec...
AbstractIntroductionMost patients with HF due to systolic dysfunction have a significant abnormality...
This work describes a Matlab1 tool originally developed in the HeartCycle2 European project and upd...
This work is devoted to methodology of long-term treatment (24 hour) ECG signal using Holter’s monit...
The proposed method is to study and analyze the Electrocardiograph (ECG) waveform to detect abnormal...
The proposed method is to study and analyze Electrocardiograph (ECG) waveform to detect abnormalitie...
Automated analysis of ECGs taken from patients with heart failure of different aetiologie
The electrocardiogram kit ('ecg-kit') for Matlab is an application-programming interface (API) devel...
Abstract: At Present, cardiovascular disease (CVD) is the leading cause of global death. The Electro...
Heart Defects are immensely threatful to human beings and can cause death. Improvements in diagnosis...
In this paper we describe a software package for the development of a Heart Rate Turbulence (HRT) ev...
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the int...
The project describes the methods useful for observe changes of heart rate in ECG signal. Heart rate...
Automated analysis of ECGs taken from patients with heart failure of different aetiologie
The mainpart of this thesis is about the developing of a new analysis tool to be used in Zenicor Med...
More than 60,000 people die suddenly each year in France due to cardiac arrhythmias. The current tec...
AbstractIntroductionMost patients with HF due to systolic dysfunction have a significant abnormality...
This work describes a Matlab1 tool originally developed in the HeartCycle2 European project and upd...
This work is devoted to methodology of long-term treatment (24 hour) ECG signal using Holter’s monit...
The proposed method is to study and analyze the Electrocardiograph (ECG) waveform to detect abnormal...
The proposed method is to study and analyze Electrocardiograph (ECG) waveform to detect abnormalitie...
Automated analysis of ECGs taken from patients with heart failure of different aetiologie
The electrocardiogram kit ('ecg-kit') for Matlab is an application-programming interface (API) devel...
Abstract: At Present, cardiovascular disease (CVD) is the leading cause of global death. The Electro...
Heart Defects are immensely threatful to human beings and can cause death. Improvements in diagnosis...
In this paper we describe a software package for the development of a Heart Rate Turbulence (HRT) ev...
The topic of this master's thesis is the analysis of ECG signals using wavelet transform. In the int...
The project describes the methods useful for observe changes of heart rate in ECG signal. Heart rate...
Automated analysis of ECGs taken from patients with heart failure of different aetiologie
The mainpart of this thesis is about the developing of a new analysis tool to be used in Zenicor Med...
More than 60,000 people die suddenly each year in France due to cardiac arrhythmias. The current tec...
AbstractIntroductionMost patients with HF due to systolic dysfunction have a significant abnormality...