ECG Analysis

Overview

Using the ECG Analysis, HRV and Cardiac Axis tools

LabChart’s ECG Analysis Module provides you with an accurate and powerful way to interpret ECG waveform morphology in order to support a wide range of cardiovascular research areas such as:

Arrhythmia studies
Cardiovascular disease and myocardial dysfunction
Pharmacological impact on heart health
Heart rate variability (HRV)
Cardiomyopathy
Hypertension
Exercise and metabolic studies
Obesity
Animal performance and stress
Isolated hearts

The analysis software automatically detects and reports on P, Q, R, S, and T wave onsets, amplitudes, and intervals in real-time, or post data recording - allowing you to easily interpret and identify abnormalities in your ECG recordings.

Our software supports measurements from implantable telemetry devices as well as surface and intracardiac electrodes - combined with our Bio Amplifiers to ensure a clean ECG signal. Recordings can be analyzed with our pre-existing detection settings covering a variety of different animal models including:

Human
Pig
Dog
Rabbit
Guinea pig
Rat
Mouse

Furthermore, the raw data is unaltered by calculations, ensuring that the electrocardiogram can be reanalyzed. The ECG Analysis Module is suitable for a PC running Windows and is included as part of LabChart Pro or can be purchased separately. The Chart, Beat Classification, Table and Averaging Views are linked for swift and uncomplicated navigation to data points of interest, with easily perceptible manual/user data edits marked in red.

Get the most out of your cardiovascular data by combining the ECG Analysis Module with some additional LabChart Modules such as:

Cardiac Axis - a heart axis calculator add-on for LabChart that automates calculation of frontal plane electrocardiograms and animates cardiac vector display.

HRV - the R-wave threshold detector identifies and calculates ECG beat-to-beat interval variation to automatically categorize beats as normal, ectopic, or artifact (can also be used with arterial pulse signal).

PV Loop - specifically designed for the analysis of in vivo ventricular pressure-volume data in small and large animals, or ex vivo, using working heart systems.

Peak Analysis - provides automatic detection and analysis of multiple, non-overlapping signal peaks.

Features

ECG Settings

Analysis of real-time or saved ECG traces
Analysis of ECG data from any species, including tailored algorithms for human, rat and mouse ECG analysis.
Customizable settings for optimal identification of ECG waveforms.
Automatic detection and averaging of ECG cycles with the option to average a specified number of beats, or all the beats across a specified time period or in a block.

ECG Beat Classification

ECG Beat Classifier identifies ectopic beats and other cardiac arrhythmias by identifying noise-contaminated waveforms and waveforms with abnormal QRS shapes or RR intervals.
The first beat marker is always displayed in gray. Beat markers included in analysis are green. Red marker color indicates exclusion from analysis based on signal noise. Blue color indicates exclusion due to form factor, and pink signifies exclusion due to noise as well as form.

ECG Beat Averaging View

ECG Beat Averaging View is useful in reducing the effects of noise or movement artifacts and to compare the effects on the ECG before and after experimental intervention.
Provides automatic logging and displaying of selected ECG parameters of start, end, amplitude and PQRST interval times in tabular and graphical format.

ECG Table View

ECG Table View calculates and records the parameters of each averaged ECG beat that can easily be added to the Data Pad or exported to other graphing or statistical programs. Available parameters include: