Purpose-built for breath VOC data acquisition. Configurable, connected, and field-proven.
Compact. Configurable. Deployable anywhere.
| Sensor slots | Up to 5 metal-oxide semiconductor (MOS) VOC sensors — Figaro TGS series compatible |
| Target analytes | Configurable — glucose biomarkers (acetone, isoprene), ketones, ammonia, ethanol, hydrogen, broad VOC fingerprint |
| Connectivity | Bluetooth Low Energy (BLE) — wireless, battery-friendly, no cables required for patient use |
| Form factor | Compact handheld device. Single-button operation designed for non-technical home users |
| Breath interface | Standardized breath inlet with controlled flow path for reproducible sampling |
| Power | Rechargeable battery; multi-day use per charge |
Hardware illustration — representative of platform configuration. Actual form factor may vary.
Patient-facing iOS and Android app. Guides users through breath collection sessions, captures blood glucose readings and session metadata, and syncs data in real time via BLE.
QR-code accessible session entry for patients without smartphones. No app install required. Browser-based metadata and blood glucose entry — zero technical barrier.
Cloud-based dashboard for study coordinators. Monitor session compliance, review incoming sensor data, flag anomalies, and export structured datasets for analysis.
Every breath session generates a time-series sensor record paired with patient-entered ground truth (blood glucose, meal timing, medication) and session metadata. Data is stored in a structured cloud database accessible via the researcher dashboard or API.
{
"session_id": "2024-11-15-P042-003",
"timestamp": "2024-11-15T08:32:11Z",
"participant_id": "P042",
"sensors": {
"S1_acetone": [2.14, 2.18, 2.21…],
"S2_isoprene": [1.83, 1.86, 1.84…],
"S3_ammonia": [0.42, 0.44, 0.43…],
"S4_ethanol": [0.11, 0.10, 0.11…],
"S5_voc_fp": [3.22, 3.28, 3.24…]
},
"ground_truth": {
"blood_glucose_mmol": 7.4,
"meal_delta_min": 90,
"fasting": false
},
"compliance": true
}
Researcher configures sensors and deploys device to participant
Participant opens app or scans QR code, enters session metadata
Device captures breath sample; sensor data streams via BLE to app
Data syncs to cloud in real time, paired with ground-truth annotations
Researcher reviews dashboard; exports dataset for ML or statistical analysis