MobiHealth: Biometric Vital Signs Telemetry
Abstract
"High-fidelity biometric signals from wearable IoT nodes, including multi-lead ECG and 3-axis motion data for remote healthcare applications."
Description
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 |
Showing first few rows for preview
Cite This Dataset
University (2026). MobiHealth: Biometric Vital Signs Telemetry. [Dataset]. University. https://archive.ics.uci.edu/dataset/319/mhealth+dataset
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Original source: University (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 19, 2026
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