ruv
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a7d417837f
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feat: RuView Live v2 — RuVector signal processing integration
Ported 5 RuVector/RuvSense algorithms from Rust to Python:
- WelfordStats (field_model.rs): online mean/variance/z-score
- VitalAnomalyDetector (vitals/anomaly.rs): Welford z-score apnea/tachy/brady
- LongitudinalTracker (ruvsense/longitudinal.rs): drift detection over time
- CoherenceScorer (ruvsense/coherence.rs): signal quality with decay
- HRVAnalyzer (vitals/heartrate.rs): SDNN, RMSSD, pNN50, LF/HF spectral
Live verified: detected HR anomaly (2.5sd drop) and BR drift (2.2sd rise)
from real mmWave + CSI data. Full session baselines tracked for 3 metrics.
Co-Authored-By: claude-flow <ruv@ruv.net>
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2026-03-15 17:03:29 -04:00 |
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ruv
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4239dfa35a
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feat: RuView Live unified dashboard + improved examples README
ruview_live.py: single-file dashboard that auto-detects CSI and
mmWave sensors, displays fused vitals (HR, BR, BP, stress/HRV),
environment (light, RSSI, RF fingerprint), presence, and events.
Tested live: CSI 1000 frames/60s (17 Hz), light trending 7.4→6.0
lux, RSSI -57 to -72 dBm. Handles graceful degradation when
sensors are unavailable.
README: updated with unified dashboard as primary entry point,
hardware table with capabilities, expanded quick start.
Co-Authored-By: claude-flow <ruv@ruv.net>
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2026-03-15 16:56:11 -04:00 |