Clebre is powered by artificial intelligence. As new data is collected, the system learns, increasing its accuracy.
Clebre is a new approach to diagnosing sleep quality and treating breathing problems during sleep. Multi-night observation combined with the analysis of the trend of changes over time significantly increases the accuracy of the diagnosis.
The ergonomic sensor does not reduce the comfort of sleep. Examination at home means that the diagnosis does not affect the standard sleep. Thanks to this, the Clebre study better reflects the patient’s actual condition.
Studying in your bed with a small, comfortable sensor does not disturb your natural sleep.
The easy-to-wear sensor and intuitive app will provide you with understandable test results.
The test can be performed at home, in comfortable conditions, without spending the night in the hospital and exposing the child to stress.
The long-term observation increases the reliability of the results and allows for individual therapy adjustment.
Comparative studies with polysomnography confirm the high accuracy of the results of diagnostic algorithms.
Test your patient at home and get proper parameters for each breath, heart rate, body position, and movement activity. Log in to the app and check the details of all your patients from anywhere.
The system gives unlimited possibilities for using the sensor for screening in risk groups.
Thanks to Clebre, you can regularly monitor how you and your whole family breathe. Intuitive operation and automatic algorithms help to collect material to support the correct diagnosis by the doctor. You will perform the test in your home without having to sleep in the hospital and without additional stress.
Recording and analyzing every inhalation and exhalation.
Detection and counting of snoring episodes.
Detection and counting of hypopnea episodes.
I counted the number of breaths through the mouth and the nose.
We are determining whether an episode is an inhalation or an exhalation.
Accurate assessment of sleep time throughout the analysis.
Built-in accelerometer for detecting body position and assessing physical activity during sleep.
A sensor that connects to a smartphone via Bluetooth with the possibility of wireless charging.
The analysis of many patient examinations over time allows the observation of trends.
We are improving algorithms with the possibility of extending diagnostic functions.
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A personal system for the diagnosis and treatment of sleep and breathing disorders