Cognitive Care Assistant

BrainNet

Distributed cognitive monitoring network — wearable sensors, edge signal processing, cloud machine learning, and clinical decision support at scale.

Main dashboardBiomedical monitoring
Sensor LayerSignal Processing LayerMachine Learning AnalysisClinical Decision InterfacePatient 1Patient 2Patient 3Patient 4Edge gatewayFilter · resample · QCSecure cloudML inferenceRisk models · temporal fusionClinician dashboardAlerts · trends · cohort viewEnd-to-end encrypted telemetry · audit logging · HIPAA-aligned architectureRedundant uplink for resilience & latency-aware routing

Sensor Layer

Multi-modal wearables: EMG, PPG-derived heart rate, thermal arrays, and motion — continuous streaming with device-level buffering.

Signal Processing Layer

Edge QC, artifact rejection, resampling, and calibration before encrypted uplink to the cloud aggregation tier.

Machine Learning Analysis

Temporal risk models, anomaly detection, and cohort analytics — outputs are probabilities and explanations, not diagnoses.

Clinical Decision Interface

Physician and care-team dashboards with alerts, longitudinal trends, and audit-ready evidence trails.