Home 9 Physiology 9 EQUIMETRE VET, a second scientific validation

A few years after its first scientific validation for heart rate and heart rate variability (2020), we are proud to announce a second scientific validation for our product EQUIMETRE. 

A validation study for ECG quality and arrhythmia detection with EQUIMETRE is now published. This study was carried out in comparison with Televet. At the end of the study, it is possible to affirm that the EQUIMETRE VET system provides a reliable ECG for the detection of arrhythmias during exercise.

Abstract of the study carried out by F. ter Woort, G. Dubois, G. Tansley, M. Didier, L. Verdegall, S. Franklin et E. Van Erck-Westergren. Read the study.


Cardiac arrhythmias in exercising horses are the focus of much interest, both in terms of what is considered normal and potential associations with poor performance and sudden cardiac death. One barrier to performing large-scale studies is the lack of an easily applicable device, to allow recording of large numbers of high-quality exercising electrocardiograms (ECGs). The EquimetreTM is a new wearable device which records a single lead ECG, amongst other parameters. Validation of such wearable devices is essential before further studies are undertaken.


To evaluate the quality of ECG using the EquimetreTM and compare arrhythmia detection during exercise with the reference TelevetTM system.


Nine TelevetTM ECGs and 3 EquimetreTM ECGs were excluded due to artefact >10%. TelevetTM ECGs included significantly more artefact during exercise than EquimetreTM ECGs (5% vs. 0.25% p<0.001). Arrhythmia analysis was performed on 38 horses’ paired ECGs. The Kappa coefficient was excellent for arrhythmia detection (K=0.97) and arrhythmia classification (K=0.93).


The Equimetre device provides a reliable ECG for arrhythmia detection during exercise. This system may be useful clinically and for future large-scale investigations into the occurrence and significance of exercising arrhythmias.

equimetre vet

Keywords: scientific validation, EQUIMETRE scientific study, ECG, exercising ECG arrhythmia detection, data