PROBLEM

Worldwide over 46 million people suffer from atrial arrhythmia. Atrial Fibrillation is the most common atrial arrhythmia. 

Atrial Flutter, another atrial arrhythmia, is dramatically undetected.

 

Patients affected show the same symptoms. Their ECGs are very similar. Therefore misdiagnosis rates are extremely high. Clinical studies show that they reach up to 83%.

 

Getting the correct diagnosis is essential as therapies are very different:

Patients with atrial fibrillation receive medication for the rest of their lives often suffering from severe side effects.

Atrial flutter in contrast is cured most of the time by a minimally invasive procedure, the so called ablation catheter.

IMPACT

An enormous number of patients are currently not receiving efficient therapy and keep suffering from the symptoms of their Aufgrund der hohen Fehldiagnoseraten erhalten eine erhebliche Anzahl von Patienten keine effektive Therapie und leiden weiterhin unter den Symptomen ihrer cardiac arrhythmia: Respiratory distress, rapid heartbeats, dizziness, fatigue.

 

Health insurance companies suffer annual losses running into millions due to inefficient therapy.

 

Hospitals are sued for malpractice. Their operations suffer from no optimal cost-effective, full-capacity utilisation of existing medical equipment. 

 

Highly lucrative procedures are not carried out due to misdiagnosis. The lost annual revenues are in the millions.

SOLUTION: HEAT

mathe.medical HEAT with its state-of-the-art algorithm differentiates highly reliable between atrial fibrillation and atrial flutter.

 

ECG data is captured quickly and easily with our app. Just take a picture of the ECG print-out or record the acoustic signal of the heart monitor.

 

Due to our real time analysis users get the result within 30 seconds.

 

Alternatively our algorithm can be easily implemented into medical devices such as ECG or ablation devices,