MobiHealth: Biometric Vital Signs Telemetry
Catalog Summary
"High-fidelity biometric signals from wearable IoT nodes, including multi-lead ECG and 3-axis motion data for remote healthcare applications."
Catalog Notes
Remote Monitoring
MobiHealth provides synchronized physiological and kinetic data from patients in various environments. It is ideal for training AI models to detect cardiac anomalies and activity levels.
Sensor Modalities
- ECG: 2-lead heart activity (Lead I and Lead II).
- ACC: 3-axis Accelerometer on chest and limbs.
- Respiration: Chest expansion sensor.
Data Preview
| acc_chest_x | acc_chest_y | ecg_lead_1 | ecg_lead_2 | Activity_Label |
|---|---|---|---|---|
| -9.81 | 0.01 | 0.04 | 0.04 | Normal |
| -9.50 | 0.52 | 0.04 | 0.05 | Walking |
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Provided Citation
Banos, O., Garcia, R., & Saez, A. (2014). MHEALTH [Dataset]. UCI Machine Learning Repository.
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Source metadata: University (2026)
Indexed by IoTDataset.com on Jan 19, 2026
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