CEREBRI SENSUS
Advancing the scientific understanding and stabilization of the human brain–body regulatory system through ethical, non-invasive neuro-AI technologies. Continuous monitoring of physiological telemetry calculates the Brain Stability Index (BSI) to forecast neural instability before clinical manifestation.
Initialize ConsoleCentral Autonomic Network (CAN)
Human brain function is deeply linked with autonomic regulation. The Central Autonomic Network (CAN) links cortical and subcortical structures—including the prefrontal cortex, insula, amygdala, hypothalamus, and brainstem—to cardiovascular, metabolic, and behavioral responses.
Instability in the CAN manifests as measurable physiological signals. By capturing this bio-telemetry, our models construct a continuous digital twin of neuro-autonomic regulation.
- HRV (Heart Rate Variability)
- PAT (Pulse Arrival Time)
- Circadian actigraphy
- Electrodermal activity
- Kinematic telemetry
- Posture & gait anomalies
THE BRAIN STABILITY INDEX (BSI)
The Brain Stability Index (BSI) is a computational metric derived from multimodal physiological telemetry. It represents the dynamic stability of the neuro-autonomic regulatory system.
Rather than diagnosing a specific disease, the BSI detects patterns of instability that precede clinical events across different domains of brain regulation: cardiovascular, emotional, cognitive, and motor coordination.
Through non-invasive wearable sensors, edge computing, and anomaly detection algorithms, the platform detects deviations from a personalized physiological baseline, alerting clinicians and patients before symptoms manifest.
PHASED ROADMAP & PIPELINE
Our development follows a progressive scientific validation strategy, training machine learning models on clear physiological events and scaling to complex neurodevelopmental domains.
Vasovagal Syncope (VVS)
Objective autonomic warning. Detecting cardiovascular collapses using continuous ECG/PPG signals. Provides a clean ground-truth training dataset for core anomaly detection algorithms.
Bipolar Disorder (BD)
Mood and state regulation. Longitudinal monitoring of sleep cycles, actigraphy, and heart rate variability to identify transitions between manic and depressive states up to seven days in advance.
ADHD
Cognitive regulation and attention control. Utilizing behavioral telemetry and wearable kinematics to detect intra-individual response variability (IIRV) and motor overflow.
Cerebral Palsy (CP)
Motor-autonomic stability. Integrating biomechanical sensors and computer vision video analysis to assess gait symmetry, optimize physical rehabilitation, and enable early pediatric screening.
Ventriculoperitoneal (VP) Shunt Early Warning System
Children with hydrocephalus depend on ventriculoperitoneal shunts. Unfortunately, these systems fail frequently and unpredictably, creating severe anxiety for families and leading to low-yield emergency department visits.
We are developing a home-to-clinic shunt surveillance system integrating non-invasive thermal sensors and pressure-surrogate acoustic signals to triage shunt performance.
-
Direct Flow Analysis: Thermal flow sensors detect CSF velocity across the skin.
-
Pressure-Surrogates: Otoacoustic emissions phase-shift sensors track intracranial pressure.
-
Three-Tier Output Triage: Simplified dashboard alerts (🟢 Normal, 🟡 Review, 🔴 Urgent Revision).
SERVICES & APPLICATIONS
Early Pediatric Screening
A smartphone-based computer vision application designed for infant video analysis. Parents and pediatricians record natural infant movements, which our AI models analyze to detect early motor anomalies correlating with cerebral palsy. This facilitates critical intervention during early neuroplasticity windows.
Continuous Telemetry Platforms
End-to-end integration with consumer and clinical-grade wearables (sensorized glasses, smart insoles, bands). Real-time telemetry is combined with edge processing algorithms to stream continuous BSI values directly to medical providers via EHR integrations.
Neuromodulation Middleware (PaaS)
Intelligent middleware APIs linking BSI telemetry with neurostimulation hardware (DBS, TMS, VNS). By analyzing neural stability indices in real-time, the platform turns static stimulus systems into adaptive, closed-loop systems, optimizing therapeutic dosage dynamically.
Companion CNS Diagnostics
Digital endpoints for CNS-focused pharmaceutical clinical trials. Providing big pharma with continuous, high-fidelity objective measures of mood and motor stability, dramatically reducing patient cohort size requirements and accelerating clinical validation cycles.
CORE TERMINAL DATABASE
Query the Cerebri Sensus central database. Type commands in the terminal shell below.
INITIATE SECURE LINK
For inquiries, clinical collaborations, or investment research, connect directly with our network node.
info@cerebrisensus.comCOMMUNICATION LINK SECURED VIA RSA-4096 ENCRYPTION