MedGemma-Micro iOS Core ML & Android LiteRT (Sub-512MB)
CHECKPOINT 395.16 MB
BUDGET < 512 MB (116.8 MB Headroom)
DEVICE RAM ≥ 8 GB
RAG ENGINE AHA/ESC Active

PPG Waveform Monitor

90s Continuous Pulse Stream @ 25 Hz (2250 Samples)
Normal Sinus Rhythm
T: 0.0s - 90.0s Gain: 1.0x (Calibrated) 60 FPS
Simulate Cardiac Condition:
HEART RATE BPM
72.0
Resting Rhythm
rMSSD (HRV) ms
38.4
Parasympathetic Vagal Tone
SDNN ms
41.2
RR Regularity Index
SENSOR LATENCY ms
14.8
1D-Conformer ANE / NPU Pass

Multi-Task Arrhythmia Classifier

1D-Conformer Biosignal Encoder (256-dim Latent Feature Map)

Cardiology Clinical Assistant

Distilled from MedGemma-1.5-4B-IT onto Qwen2.5-0.5B (4-bit)
1D-Conformer + Cross-Attention Active
Clinical Presets:
🩺
MedGemma-Micro Edge Distilled

Hello! I am MedGemma-Micro, a mobile-optimized multimodal cardiology assistant distilled from google/medgemma-1.5-4b-it into a strict sub-512 MB footprint for iOS (Core ML) and Android (LiteRT / GGUF).

I am connected directly to the active 90-second PPG waveform monitor on your left and grounded with offline ACC/AHA & ESC Clinical Guidelines. You can:

  • Test rhythm anomalies like AFib, Bradycardia, Tachycardia, or PVCs.
  • Inquire about first-line medications, DOAC stroke prevention, contraindications, and emergency triage.
  • Click any of the clinical preset chips above or ask your own question below.
Ready
⚠️ Medical Disclaimer: For educational purposes only, not a prescription or treatment plan. Do not start, stop, or change any medication without your doctor’s approval.