The technology of KOLIBRI® is based on the processing of heart activity (HA) signals. KOLIBRI® system uses an autoregressive linear prediction model based on the properties determined from the HA signal for the determination of biochemical parameters (Patent US 10,531,836 B2 date: Jan.14, 2020). Big Data collected from clinical and pre-clinical trials over 10 years has built a base for neural network algorithms, which our industry-leading experts in non-invasive medical technologies are expected to develop further. Data collected and analyzed by specially designed algorithms of the KOLIBRI® system allows assessment of the presence or absence of certain criteria, which characterizes certain pathologies. Therefore, the system can inform a user about suspected health risks. If you use the medical device KOLIBRI® at home and co-work with your medical institution or family doctor, you receive full support from the medical institution or family doctor in the field of remote monitoring of your health.

The device is integrated into a cloud infrastructure designed to improve remote health monitoring. In the KOLIBRI project, we implemented a full-featured real-time remote patient monitoring system. As a result, we have achieved maximum rapprochement between the patient and the doctor for daily (or regular) monitoring of his condition's health and remote monitoring.

We are constantly conducting further research to increase quality health parameters and further identify the following pathological conditions: diabetes, iron deficiency anaemia, chronic heart failure, myocardial infarction, hypertension, chronic obstructive pulmonary disease, dental status and others.