The physiological patterns of ADHD treatment are well known. Iluria offers the first solution for detecting and analyzing these patterns to analyze overall physiological impact
Illuminating the patterns
A successful ADHD management process requires continuous monitoring, as the patterns changes overtime. Multiple physiological vitals, such as heart rate and movement patterns, have already been clinically associated with ADHD. Illuminating these hidden patterns is our mission.
How does our solution work
We utilize such changes in physiology to provide insights on the focus and activity levels. This is done by retrieving physiological vitals using commercial level wearable devices. Then, by using machine learning engine algorithms, we identify physiological patterns to apply in-depth analysis which captures the personal patterns.
Better monitoring and calibrations
In addition to the current standard of care for ADHD monitoring, the manual questionnaires, Iluria's solution provides a layer of objective analysis with respect to the overall physiological patterns.
This analysis does not intend to replace the consoltation with phycisions, but to provide a monitoring tool, at home, during the day to better manage ADHD.
Redefining how ADHD is monitored
We concluded a clinical trial with Clalit Health Services in Israel. The goal of such trial was to see whether our proprietary machine learning algorithms can analyse changes in physiological vitals to provide objective monitoring outputs. We validated our mathematical concept with great results, high accuracy level and low p-value.
Scientific papers & publications
The results of our clinical trial with Clalit Health Services were presented in the 2021 Israeli Clinical Pediatric Society Annual convention earlier this year.
