Immersive Authority is architecting the infrastructure required to move physiological data from isolated consumer silos into a unified, clinical-standard health record. Our development trajectory is defined by three technical milestones: Interoperability, Advanced Bio-Signal Analysis, and Clinical Connectivity.
Technical Interoperability (Current Active Phase)
We are currently finalizing the SWEL Fusion Engine, a middleware layer designed to normalize asynchronous data streams from multiple wearable providers into a single source of truth. This phase focuses heavily on the implementation of HMS Core 5.0 and COROS V2 API adapters, allowing for the high-resolution ingestion of workout and daily metrics. By leveraging the OpenWearables framework, we are mapping vendor-specific JSON payloads to a unified data model, ensuring that longitudinal health records remain consistent across hardware ecosystems.
Central to this phase is our FHIR R4/R5 Semantic Mapping. We transcode raw physiological observations into HL7 FHIR-compliant resources, specifically targeting Observations and Vital Signs. This process utilizes LOINC and SNOMED-CT terminology to ensure that data is not just aggregated, but clinically legible. Furthermore, we are integrating environmental stressors; such as altitude and thermal strain to calculate the Physiological Cost Index (PCI), providing a contextual weight to raw biometric output.
Advanced Bio-Signal Analysis (Target: Q3 2026)
The next milestone involves transitioning from data collection to predictive modeling. We are deploying Detrended Fluctuation Analysis (DFA Alpha-1) as a primary tool for fractal HRV triage, which allows for the detection of systemic stress and the identification of overtraining thresholds before they manifest as physical fatigue. Parallel to this, we are implementing Mechanical Durability Models to analyze “Aerobic Decoupling.” This compares internal strain against external work over multi-hour durations to measure an athlete’s resilience. To eliminate the friction of manual testing, we are also integrating the Morton 3-Parameter Critical Power model for continuous, automated fitness estimation.
Enterprise and Clinical Connectivity (2027 Horizon)
Our long-term objective is to bridge the gap between individual athletes and professional support networks. We are blueprinting a Secure Coach-Athlete Federation layer, which uses a tokenized API to grant human coaches access to real-time recovery and readiness data without compromising individual privacy. Additionally, we are developing Vital Drift Webhooks. These automated alerts are designed for enterprise and clinical partners, triggering notifications based on significant deviations in resting heart rate and skin temperature to facilitate early illness detection and systemic triage.