Scientific Studies
We have been working with POLAR since the beginning of our startup Kardi Ai. We consider them to be a great partner that meets all requirements from a medical point of view. This fact is also supported by the two attached studies
Completed scientific studies
Polar H10 Heart Rate Sensor System
Polar Research and Technology
In tests, the H10 sensor, along with the Pro Strap, proved to be more accurate than any of the competing strap solutions, as well as more accurate than any of the Holter monitors tested.
Evaluation of the Polar H10 chest strap ECG in patients with a wide spectrum of cardiac diseases
University hospital Olomouc
ECG recording from the chest belt, obtained in hospitalized and ambulatory patients with various types of heart rhythm disorders, as well as in healthy controls, can be used in everyday practice to evaluate the basic heart rhythm.
Ongoing scientific studies
KARDI AI comparison with 24-hours HolterECG in evaluation of frequent atrial and ventricular premature beats (Comparison of chest belt ECG analysis with ECG analysis from 24-hour HolterEKG monitoring in patients with frequent atrial and ventricular premature beats
Result and publication Q4/2024
A prospective monocentric study in which patients after so-called cryptogenic ischemic stroke (iCMP) will be included. The cause of stroke is very often previously undiagnosed atrial fibrillation (AF). The aim of the study is to compare the standard approach – Holter ECG monitoring against intermittent long-term monitoring using the Polar H10 chest strap. Data from the chest belt will be evaluated automatically using artificial intelligence in the KARDI AI environment. ECGs marked as FS will be manually validated by an experienced cardiologist.
KARDI AI comparison with 7-day HolterECG in atrial fibrillation screening (Comparison of the ability to detect paroxysmal atrial fibrillation from long-term intermittent chest belt ECG recording with ECG analysis from repeated, long-term Holter ECG monitoring)
Result and publication Q4/2024
A prospective, cohort, multicenter study to compare detection of premature atrial and ventricular extrasystoles verified by the Polar H10 chest belt using artificial intelligence within the KARDI AI environment against standard Holter ECG monitoring in 24 hours.
KARDI AI in atrial fibrillation screening after ischæmic stroke (the DEPACIS trial - Detection of Paroxysmal Atrial Fibrillation in Cryptogenic Ischemic Stroke patients using chest belt).
Result and publication Q4/2024
A prospective, cohort, multicenter study in subjects undergoing catheter ablation for atrial fibrillation with the FaraPulse technology. The aim of the study is to compare intermittent ECG monitoring using a Polar H10 chest belt against standard ambulatory care in the form of two 7-day Holter monitoring within 12 months after the procedure. All ECG recordings will be evaluated using artificial intelligence within the KARDI AI environment. The planned number is 200 patients, their inclusion by the end of Q3/2024 and the end of complete follow-up (a total of 12 months) by the end of Q3/2025.
Plánované vědecké studie
” The methodology is a huge benefit in the detection of atrial fibrillation and in the diagnosis of paroxysmal arrhythmias and irregular palpitations with a minimal chance of detection during classic ECG monitoring. The automatic evaluation allows me to have a quick overview of the patients’ “arrhythmic” situation at any time, to which I can react immediately. Thanks to the easy collaboration, the confidential relationship with the patients is also significantly strengthened.”
doc. MUDr. Ivo Oral, CSc.
Olomouc, Czech Republic
” I liked Kardi Ai mainly because of its quick availability in case of problems and the possibility of detecting arrhythmias that we cannot detect with commonly available monitoring. Thanks to this, we are able to quickly offer optimal treatment after consultation with the patient, but also to rule out the arrhythmogenic cause of other problems.”
MUDr. Zdeňka Pospíšilová
Brno, Czech Republic
” I like to use the Kardi Ai on my patients with unclear palpitations. Paroxysmal atrial fibrillation was found in 30% of them, which lead to the performance of radiofrequency ablation. I look forward to cooperation in the future and especially the possibility of detecting other forms of cardiac arrhythmias.”