ECG toolbox II

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Off-line ECG signal analysis under MATLAB

Part II: Single-beat classification and analysis

g.ECGtoolbox is a software package for ECG data processing and analysis. — The investigation of patterns and signal features of ECGs allows to observe noninvasively brain and heart functions and disfunctions.

The graphical user interface for g.ECGtoolbox enables you to investigate all important time and frequency domain features of your electrocardiogram (ECG) data such as RR intervals or HRV maps. You can load and save your preferred processing steps as a script program and automatically process your data in batch mode.

The g.ECGtoolbox can be ordered in two parts:

g.ECGtoolbox part I: HR and HRV analysis in time and frequency domain
g.ECGtoolbox part II: Single beat classification and analysis

NEW g.ECGtoolbox part II Highlights

Single beat editor
Automatic beat-by-beat detection of characteristic points: Pon, P, Poff, QRSon, Q, R, S, QRSoff, Ton, T, Toff
Time evolution plots for parameters
QT-interval and ST-segment analysis for identification of pathological changes
Classification of single beats

Single Beat Editor

The single beat editor is an intelligent and very convenient tool displaying single ECG beats and measuring characteristic points in the ECG signals. QT-, ST-intervals as well as time instants of Pon, P, Poff, QRSon, Q, R, S, QRSoff, Ton, T, Toff are determined. The detector was developed using thousands of ECG recordings and is able to deal with irregular heart rhythms, an arbitrary number of channels and arbitrary sampling frequencies (winner of the Computers in Cardiology Challange 2001 and 2004).

In addition different classes of beats can be displayed: Normal beats or non-normal beats (extrasystols with classification of the type)

Example 1: QT-, ST- intervals and QRS amplitudes

Characteristic intervals and ECG signal features can be displayed as function of time. The example to the right resembles the amplitude changes in QRS (color black), QT-interval (color red) and ST-interval (color blue) changes for a tilt table experiment. The subject was laying in horizontal position on a tilt table till second 1000. Then the table was tilted by 90 degrees.

The QT-interval is an important parameter concerning the repolarization process. Prolonged QT, for example, increases the risk of ventricular arrhythmias. The QRS amplitude and duration is offering information about the depolarization of the heart and is used for detection of abnormal interventricular conduction, coronary heart disease, pericardial effusion etc. ST-segment changes provide information for detection of ischemia and infarct.

Example 2: QRS complex classification

Each QRS complex can be classified according to the underlying ventricular rhythm and the morphology of the averaged heart beat.

Each heart beat is classified into one of the following QRS types:

Normal - Normal heart beat (i.e. no pathology detected)
Complete BBB - Complete bundle branch block
Incomplete BBB - Incomplete bundle branch block
Ventricular ectopic - Ventricular ectopic beat. Premature beat with origin somewhere in the ventricular myocardium
Supraventricular ectopic - Supraventricular ectopic beat. Premature beat with origin in the Sinus node, atrium or in the fast conducting system of the ventricles (e.g. AV node, bundle of HIS, bundle branches etc.)

The results of the classification are summarized in the Signal Summery report. The report contains information about the processed data set, the number of QRS complexes per identified QRS type and timing information of the QRS waves.

User Story - Find the beats of interest

WINNER of the CinC Challenge 2006

Brochure: ECG-Toolbox (PDF 1.5 MByte)

Complete brochure: g.BSanalyze (PDF 5.7 MByte)

Package includes

Software modules
help manual
hardlock

Technical Requirements

MATLAB
g.BSanalyze base version

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