Science Overview

A History of Innovative Research

Discover the science behind Medibio

Where Human Physiology Meets
Data Science

Our approach exploits features of cardiovascular physiology influenced directly by the autonomic nervous system and susceptible to perturbation during sleep, as a source of biomarkers that correlate with onset and existence of mental dysfunction.

Our data science approach focuses on using artificial intelligence to identify mental illness phenotypes and potential physiological markers, so we can predict dysregulation of the autonomic nervous system and future recurrent episodes.

HRV Time and Spectral Components:

Analysis of circadian heart rhythm provides objective indications of physiological differences between different forms of mental illness.


Mental state-linked autonomic nervous system disturbance (biological shifts) are observed during sleep when external influences are absent.


Distinctly different patterns are evident during sleep when confounding influences on heart rate are minimal.


Digital biomarkers are relevant to circadian processes.

The Link Between Physiological Measures and Mental Health

Heart rate follows a circadian rhythm with observable patterns over the course of a 24 - hour period. Medibio uncovers insights from sleeping heart rate patterns to aid in early detection and screening of mental wellness. The patterns that distinguish mental illness are most obvious during sleep. Medibio's approach relies on identifying these heart rate patterns generated by the Autonomic Nervous Symptom (ANS) while sleeping.


"We will no longer endorse DSM5, as it has fundamental flaws and we are actively seeking a diagnostic system that is evidence based. We need a quantitative method for diagnosing depression. It is critical to realize that we cannot succeed if we use DSM categories as the gold standard."

U.S. National Institute of Mental Health May 2013