Wearable non-invasive continuous psychological stress sensing and evaluation technology is composed of novel wearable non-disruptive multi-channel Human stress sensor pads, Human stress index levels and criteria evaluators using advanced mathematical tools including Artificial Intelligence, and AI/cloud-based diagnosis, feedback and management protocols.
The technology forms a category that we call “analytical wearables”. This is a category aimed at “professional controlled environments”. It is characterized by a synergy between high-tech sensing and high-level mathematical analysis providing compound interpretations of various sensor-based observables.
From Large Data to Acitionable Extracts
Our overall approach is based on the assumption that indexing of physiological, behavioural and topological (PBT) “meso-patterns” provides objective and quantitative measurements of individual and disease-related features as well as response to treatments. The concept itself stems from and relies on mathematical frameworks yielding macroscopic characterizations of physical systems based on their microscopic properties. Such an approach has been used many times in various scientific disciplines. In our approach, the molecular level is represented by tiny changes in PBT readings that we map onto a Hurst index or Hausdorff-Besicovitch dimension that can be thought of as a macroscopic system parameter.
Artificial Inteligence and Predictability
At least some of the indices considered such as, e.g., heart and breathing rate are unique for each individual. We assume that this observation would also apply to the other proposed indices given their stochastic nature. This means that a collection of complexity indices can provide aggregated characterization of factorized groups of patients. This leads to “fingerprinting”, i.e. characterization of an individual. Consequently, the correlation be-tween factorized groups and indexing of their responses to treatment provide the basis for personalized medicine. Ultimately, we are able to index individual behaviour in humans, using a behavioural vector to brain connectivity.