The Sleepiz Hardware
Our hardware is based on millimeter-wave doppler radar and measures upper body movement without contact, detecting body movements as small as 0.2 mm.
Our hardware is based on millimeter-wave doppler radar and measures upper body movement without contact, detecting body movements as small as 0.2 mm.
The collected raw data is transferred to our servers wirelessly using LTE.
The collected raw data is transferred to our servers wirelessly using LTE.
The device is battery powered, can be charged, and mounted on a stand for long-term use.
The device is battery powered, can be charged, and mounted on a stand for long-term use.
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With a press of a button, patients can record multiple nights of sleep at home, while physicians simultaneously receive their results in their clinic or remote on their mobile.
The Sleepiz Software

Our software uses digital signal processing to transform raw radar signals into meaningful parameters such as breathing, pulse rate, and movement.

With the application of machine learning algorithms, we identify apnea events and long-term trends from vital signs.

By analyzing the recorded multi-modal data, our technology detects patterns and dependencies between the measured vital signs and other metrics. These can identify apnea events and long-term trends, where the results are then displayed in a web application.

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