ecgAUTO, post-processing software
ecgAUTO post-processing software allows fast analysis of cardiovascular, pulmonary (lung volume) and neurological data, with full user control. With ecgAUTO software, it only takes a few minutes to analyze 24hr of dog ECG recording!
It reads files produced by iox2 software (data and synchronized video files) and non emka data file formats, including DSI™ telemetry data files.
GLP modules can be added to provide full GLP compliance;
In-depth ECG analysis
In-depth ECG analysis is at the heart of ecgAUTO software. Using the pioneering shape recognition techniques, ecgAUTO is able to analyze normal or abnormal ECG morphology, from any species and any lead.
The shape recognition technique requires a library of reference waveforms, built and edited by the user. Specific libraries can be built for different species or leads, which make the strength of this technique.
- Beat-by-beat calculation of intervals (RR, QRS, QT…), amplitude, signal elevation etc.
- Single or multiple-lead analysis from any type of cutaneous, subcutaneous or intra-cardiac leads
- Inter- and multi-lead processing
- Automated multi-file analysis
- Predefined/customizable QTc formulas
A range of purpose-built modules can be added for specific analysis of:
- Heart rate variability (HRV): automatically produces multi-epoch analysis and full Fourier analysis.
- Ventricular arrhythmias and conduction abnormalities detection: perform a concurrent interval and arrhythmia analysis, eliminating the need for multiple analyses of a single data file.
- Isolated P waves detection: helps to identify atrioventricular block. These features dramatically decrease the amount of time spent overreading data. Statistics on occurrences per data zone are automatically produced.
Lung volume acquired in iox2 software from large animals with emkaPACK4G telemetry is analyzed with ecgAUTO RIP module (Respiratory Inductive Plethysmography).
After a straightforward and rapid calibration, the following parameters are produced by the RIP analyzer:
- Duration of breath
- Duration of inspiration/expiration
- Breathing rate
- Inspired/expired volume
- Minute volume
- Max flow during inspiration/expiration
- When 2 belts used: thorax-abdomen shift – time or angle
ecgAUTO software manages cardiovascular data analysis: blood pressure/flow, LVP, NIBP, MAP.
Non-invasive blood pressure, acquired in iox2 software with emkaPACK4G telemetry is analyzed with ecgAUTO NIBP module.
NIBP module not only provides parameters values (systolic, diastolic and mean blood pressure, amplitude, heart rate) but also shows how data where analyzed, through a detailed panel. This panel allows you to understand your results and, if necessary, to manually invalidate some irrelevant data points.
EEG signal acquired in iox2 software can be analyzed with the EEG module, within ecgAUTO software. It allows scientist to easily:
- Generate FFT power spectrums with user defined frequency bands
- Detect epilepsy seizures
- Differentiate between four sleep stages and calculate global sleep score
Integrated video capabilities facilitate behavioral observations without the confounding effects of investigator interaction. Our secured video data is embedded in our data files and can be linked with other physiological signals, allowing the scientist to click on a change in a physiological parameter and observe the associated behavior. The system features adjustable image resolution, and infrared recording for nighttime observations.
Comprehensive multilevel in vivo and in vitro analysis of heart rate fluctuations in mice by ECG telemetry and electrophysiology
Stefanie Fenske et al, Nature protocols, 2015
Involvement of peroxisome proliferator-activated receptors in cardiac and vascular remodeling in a novel minipig model of insulin resistance and atherosclerosis induced by consumption of a high-fat/cholesterol diet
Pan Yongming et al, Cardiovascular Diabetology 2015
Heart rate variability in mice: a theoretical and practical guide
Thireau et al, Experimental Physiology, 2008
Inhaled ambient-level traffic-derived particulates decrease cardiac vagal influence and baroreflexes and increase arrhythmia in a rat model of metabolic syndrome
Carll et al, Particle and Fibre Toxicology, 2017
Cardiomyopathy confers susceptibility to particulate matter-induced oxidative stress, vagal dominance, arrhythmia and pulmonary inflammation in heart failure-prone rats
Carll et al, Inhalation Toxicology, 2015
An Autonomic Link Between Inhaled Diesel Exhaust and Impaired Cardiac Performance: Insight From Treadmill and Dobutamine Challenges in Heart Failure–Prone Rats
Carll et al, Toxicological sciences, 2013