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)
- Exercise and metabolic studies
- 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:
- Guinea pig
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.