Carearly adopts the P-BCG (Pneumatic Ballistocardiography) sensor, independently developed by DolbomDream, to detect subtle body vibrations caused by heartbeats as air pressure variations without touching the user.
A specialized air channel design filters out interference from ambient noise and pressure changes, achieving a bio-signal accuracy of up to 98%. This allows for continuous and accurate measurements even when the user moves, speaks, or changes posture.
The system records heart rate, respiration rate, and movements such as tossing and turning during sleep in real-time, and also detects falls from the bed without skin contact.
With the application of AI algorithms, the system filters out noise signals and, upon identifying signs of sleep apnea, prolonged inactivity (reduced activity), or irregular heartbeats from the detected bio-patterns, immediately sends alert notifications to caregivers/medical staff.
Additionally, it calculates emotional state indicators such as stress and anxiety levels through subtle changes in the measured pulse, which can be used to monitor the mental health of those being cared for.
This year's demonstration revealed plans to add functions for monitoring signs of chronic disease exacerbation and predicting dementia risk in the future, which implies the incorporation of a predictive model based on accumulated long-term bio-data.
In short, Carearly can accurately monitor a patient's health status 24 hours a day in their daily environment without requiring any attachments, and its robust sensing technology, which does not malfunction even with movement or ambient noise, is a key differentiator.
This is establishing it as an innovative tool for early detection and response to fall accidents and cardiac arrest in elderly living alone or those with dementia, while also reducing the burden of constant monitoring for caregivers.