🔗 Linked Evidence
Project CozZie Glow 08
📄 HOLAND_CLAIM_FILE_p195 to 220 | p.203
📄 HOLAND_CLAIM_FILE_p195 to 220 | p.203
📝 Extracted Text (OCR)
mod_health — Health Tracker v2.2 Daily health logging. Vitals — blood pressure and heart rate, multiple readings per day, with automatic flagging of combined low BP and low HR. Mood, energy, and stress scales. Symptom library including ear pain, hyperacusis, tinnitus, and migraine triggers. Pain location logging — including left ear and right ear specifically. Medication log. Meal log. Treatment and intervention log. Sleep phases with notes. All data exportable via mod_dump. mod_dump — Data Export Exports all logged data as CSV or JSON. Full dump includes sensor logs, health records, audio event logs, and motion detection logs with timestamps. Download ZIP packages everything into a single file. mod_sysdata — System Health & Data Pi system monitoring — CPU usage, temperature, uptime. CozZie Glow configuration settings. Data log download and wipe. The administrative backbone of the system. Garmin Connect Integration Built into the base system. Pulls daily data from Garmin Connect API automatically — steps, stress score, calories, sleep breakdown by phase (deep, light, REM, awake), heart rate graph, and 7 day trend. Sync on demand or scheduled auto-sync. The Garmin device is a 10 year old Vivofit HR. The original strap had disintegrated from age. A replacement was sewn from old IKEA mattress straps — the wide soft bands far more comfortable for overnight wear than the original, and far more durable. This integration connected CozZie Glow's environmental data to physiological data — completing the picture of how the sleep environment affects the body. The Sleep Study — Origin The sleep study did not start as a sleep study. It started with moving CozZie Glow to the Pi 4 and optimising the sleep environment properly for the first time. Waking up after ten hours of sleep, tired, with a small headache every day. Something was wrong. Inconsistent sleep patterns. Disrupted nights. No data to explain why.