Breathing Meets AI
We have developed a suite of signal processing and machine learning algorithms, designed to help clinicians identify high risk patients.
Radar Technology
Our device's low power radar locks onto a patient's position and monitors their body motion to derive respiratory rate. Even when the patient has a bed partner, the device possesses the capability to track two people, Currently identifies and tracks the nearest person.
![](http://circadia.health/cdn/shop/files/circadia-3q-with-radar-v3-cropped-nnn_d3f473b6-2cd4-45e1-9830-26166fda11a6_1020x700.gif?v=1614308210)
Sleep Analysis Algorithm
Our proprietary algorithms predict sleep stages with an accuracy approaching that of gold-standard PSG and exceeding that of published performance data for existing wrist-worn, consumer sleep tracking devices. See our white paper for details.
![](http://circadia.health/cdn/shop/files/IMG_0135_1_1020x700.png?v=1614307218)
Respiratory Analysis Algorithm
Our proprietary algorithms can accurately extract respiratory rate from our devices' raw radar data. Our C100 System is currently being validated against gold-standard PSG respiratory rate data in a clinical study forming part of an FDA 510(k) submission.
![](http://circadia.health/cdn/shop/files/doc_1020x700.png?v=1614307215)