Continuous monitoring is a concept we know from clinical and pharmaceutical trials. Our technology takes the next step by enabling patients to be remotely monitored whenever and wherever it is needed.
Sleepiz captures meaningful real-world data in an early state, providing insightful information for agile decision-making and accelerated product development. We facilitate research work while reducing the burden patients and investigators are facing during clinical studies.
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 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 long-term trends, which are then displayed in a web application.