Welcome to Binah.ai

Introduction?

Use your smartphone camera to measure body vital signs like heart rate, mental stress, oxygen saturation, respiration.
No skin contact, no wearable devices are needed.
Binah.ai’s developed advanced set of algorithms, which provides measuring a person’s vital signs by using a camera, which are based on rPPG.
rPPG - Remote Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance.

What is rPPG ?

Binah.ai’s developed advanced set of algorithms, which provides measuring a person’s vital signs by using a camera, which are based on rPPG. 

rPPG - Remote Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance. This technology enables monitoring in situations where contact-based devices may be challenging or infeasible, such as ambulatory, sleep, and multi-individual monitoring. 

More information about rPPG can be found at: https://en.wikipedia.org/wiki/Photoplethysmogram#Remote_ photoplethysmography 

Binah.ai measures the person’s heart-rate, oxygen saturation, respiration and heart rate variabilities (HRV) by reconstructing the rPPG signal from the Smartphone camera using a signal processing, and not by a statistical estimations, and without the need to use any additional sensors. 

Binah.ai’s technology was validated by our customers in official clinical trials of more than 800 people and found that our rPPG based HRV is statistically equal to the PPG based HRV using the CoreSense oximeter by Elite HRV. 

By having an accurate HRV, we can calculate a person’s mental stress level by using Baevsky’s research which can be found here: https://www.researchgate.net/publication/317227023_Heart_rate_variability_analysis_physiological_ foundations_and_main_methods/fulltext/59334b1da6fdcc89e7cf2097/Heart-rate-variability-analysis-physiological- foundations-and-main-methods.pdf 

We are using Baevsky’s mental stress index to calculate the person’s mental stress into 5 levels (Low, Normal, Mild, High, Extremely high). 

Was this article helpful?
0 out of 0 found this helpful

Comments

0 comments

Please sign in to leave a comment.