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High-Level Development Roadmap

Engineering the Digital Mirror from Prototype to Clinical Trials

To transition the Digital Mirror from an initial baseline prototype into a clinician-governed multimodal research suite, the engineering architecture follows a structured eight-phase deployment roadmap.

This phased progression ensures that sub-second hardware performance, multimodal signal fidelity, empirical statistical validation, and rigorous participant safety mechanisms are fully established prior to human validation trials.

8-PHASE DEPLOYMENT ROADMAP: PROTOTYPE TO IRB & RCT READINESS Phase 0: Foundation Client-Side AES-GCM & PGP Vaults; Unified LSL Telemetry Schema Phase 0.5: DSP Hardening Compiled Microsecond DSP; EMG & Impedance Gating; 8-Ch Spatial Readiness Phase 1: Cold Path & Intake Clinician Protocol Sign-Off; "Session Zero" Psychometric Scoring & Routing Matrix Phase 2: Media & Shaders Zero-Latency Neural Voice, Biomechanical Visemes & OpenGL Raymarched Shaders Phase 3: Hot Path Engine Therapist-in-Control Triage; Eye EAR Adherence & HRV Autonomic Overrides Phase 4: Somatic & Vocal 3D Landmark FACS Z-Scores; Prosodic Onset Latency & Barge-In Grounding Phase 5: RCT Data Science Aperiodic (1/f) & Entropy; FDR Artifact Stats; Clinical Compiler & Holodeck Replay Phases 6 & 7: Trial Ready Cross-Stream Timing Audits; Local NER Redaction; 100% Clinical Safety Red-Teaming
Figure 4: Structured eight-phase engineering progression from cryptographic baseline stabilization to empirical trial readiness.

Phase 0: Baseline Stabilization and Client-Side Cryptographic Security

  • Objective: Establish a low-latency data ingestion backbone and a client-side local security architecture.
  • Key Capabilities: Unified multimodal telemetry schema; high-throughput binary and tabular session archiving; authenticated AES-GCM and asymmetric PGP encryption for participant registries and research vaults (zero-access local architecture); automated session idle-lockout protections.

Phase 0.5: Signal Processing Hardening and Spatial Array Readiness

  • Objective: Implement hardware-accelerated digital signal processing and prepare the ingestion pipeline for multi-channel clinical EEG scaling.
  • Key Capabilities: Compiled microsecond DSP kernels for real-time bandpass/notch filtering and spectral integration; real-time impedance, sensor-railing, and EMG stability gating; baseline-calibrated alpha phase synchrony and Individual Alpha Frequency (IAF) tracking; architectural readiness for 8-channel clinical spatial EEG arrays.

Phase 1: Safety Scaffolding, "Session Zero," and Deterministic Routing

  • Objective: Establish the "Cold Path" governance architecture and multidimensional pre-session psychometric profiling.
  • Key Capabilities: Dedicated clinician workbench for protocol authoring and mandatory human-in-the-loop prompt approval; "Session Zero" psychometric scoring engine and dimensional visualization (evaluating trait profiles, concealment burden, and disclosure readiness); deterministic pacing heuristics.

Phase 2: Zero-Latency Media and Procedural Biofeedback Pipeline

  • Objective: Construct an asynchronous, localized media and visual biofeedback factory that never blocks real-time biological telemetry.
  • Key Capabilities: Pre-compiled and localized neural voice synthesis; spectral-biomechanical viseme synchronization for responsive avatar articulation; GPU-accelerated OpenGL raymarched biofeedback environments dynamically coupled to live autonomic and cortical coherence metrics.

Phase 3: Live Execution Engine and Multimodal Sentinel Monitoring

  • Objective: Deploy the core state machine governing live interactions under "Therapist-in-Control" supervision.
  • Key Capabilities: Real-time state detectors (tracking rumination, acute stress, hyper/hypoarousal, dissociation, cognitive rigidity, eureka bursts, and flow states); non-invasive computer vision for eyes-open/eyes-closed protocol adherence (Eye Aspect Ratio) and continuous Heart Rate Variability (HRV) autonomic overrides.

Phase 4: Somatic Affect and Vocal Biomarker Extraction

  • Objective: Expand beyond cortical telemetry by integrating synchronized facial micro-expression kinematics and acoustic prosody analytics.
  • Key Capabilities: Subject-relative Facial Action Coding System (FACS) action unit Z-score tracking via high-density 3D facial landmarking; parallel vocal telemetry capturing response onset latency, silence cadences, conversational turn-taking dynamics, and automated behavioral grounding boundaries.

Phase 5: Advanced Data Engineering and Statistical Validation for RCT Readiness

  • Objective: Build publication-grade statistical validation, spectral parameterization, and post-session compilation pipelines for Randomized Controlled Trials (RCTs).
  • Key Capabilities: Real-time and offline aperiodic (1/f) spectral parameterization and Shannon spectral entropy estimation; statistical modeling of craniofacial EEG artifacts across 12 controlled movement conditions using linear mixed-effects models and False Discovery Rate (FDR) correction; automated post-session multimodal compilation (combining GPU-accelerated transcription, speaker diarization, and biometric epoch slicing) alongside interactive "Holodeck" telemetry replay.

Phase 6: Ethics, Compliance, and Cross-Stream Synchronization Auditing

  • Objective: Verify deterministic temporal alignment across all multimodal streams and enforce automated privacy sanitization for institutional review.
  • Key Capabilities: Empirical cross-stream timing and jitter auditing quantifying inter-sample interval (ISI) stability and clock alignment across 256 Hz EEG, 30 Hz somatic computer vision, and event marker streams; automated local Named Entity Recognition (NER) transcript de-identification and client-side encrypted research export routines.

Phase 7: Localized Persona Alignment and Clinical Safety Red-Teaming

  • Objective: Align the air-gapped copilot architecture with ACT principles and empirically verify rigid safety boundaries.
  • Key Capabilities: Localized instruction-tuning dataset curation from clinician-approved protocols and multimodal session turns; automated clinical AI red-teaming benchmark suite verifying 100% adherence to diagnostic and pharmacological scope refusals, crisis escalation protocols, non-reinforcement of delusional content, prompt-injection resilience, and eyes-open/eyes-closed protocol integrity.