Note: this solution is not yet CE certified and the information presented below should be read in this context.
A camera and software can count breaths in a similar way to humans, and unlike humans,
spot changes in the face colourings undetectable to the human eye. By observing changes
like vibrations of the chest and hue fluctuations of the face, computer vision algorithms
can accurately measure such vital signs as respiratory rate and pulse.
A pulse signal can be extracted from a digital camera in a similar way as reflective
pulse oximeters do, but with the advantage of not requiring specialized equipment
or physical contact with a patient. Chest movements to measure respiratory rate can
be detected even when a patient is clothed or under bed linen.
With some innovative software design, a regular digital camera can be turned
into a versatile vital signs monitor that is portable, contactless and can
operate without interruptions.
Effortless measurements to aid patient assessment
With our remote monitoring solution, a camera can be used anywhere from an assessment
room to a waiting area or any other selected space, even a patient’s own home. On top of
a fixed location, the camera can also be mounted on a trolley to support gathering
observations in a ward round.
Since the software works automatically and requires little action from the side of the
clinician, it can be run on the side while performing other tasks. During emergency
triage, the camera can work in the background while a patient and nurse describe and
discuss symptoms, without interrupting or affecting the evaluation and thus saving
time and resources.
Contactless methods suit screening for viruses
On top of in-person evaluations, our solution makes it possible to avoid cross-contamination
from viruses by separating the nurse and the patient to different rooms or parts of a
In a situation where hospitals are reaching their capacity, a remote monitoring solution
can be used to provide at-home care to patients recovering at home. By sending a short
video clip from a smartphone using a designated mobile application, the video can be
directed to a dedicated server where it'll be evaluated automatically for signs of
deterioration. The patient is guided through the simple process of taking a video and
does not need to own any specialized equipment to measure themselves.
Based on the algorithmic evaluation of the patient’s condition, designated
clinical professional will be alerted about the results for further evaluation.