Synthetic Healthcare IoT Monitoring Dataset — 3 Age Groups
Generated Dataset Summary
"Free CC0 synthetic dataset: 1,000 rows of heart rate, blood pressure, SpO2, body temperature and glucose vitals. 3 Age Groups, 7 Patients."
Generation Notes
Overview
Synthetic patient vital signs from remote monitoring with circadian variation and glucose meal-response dynamics.
1,000 data points, 12 columns. Config: Default configuration.
Column Schema
| Column | Description |
|---|---|
Timestamp | ISO 8601 |
Patient_ID | Patient ID |
Age_Group | Young_Adult/Middle_Aged/Elderly |
Heart_Rate_bpm | Heart rate bpm |
BP_Systolic_mmHg | Systolic BP |
BP_Diastolic_mmHg | Diastolic BP |
SpO2_Pct | Blood oxygen % |
Temperature_C | Body temp °C |
Respiratory_Rate | Breaths/min |
Glucose_mg_dL | Glucose mg/dL |
Activity_Level | Activity |
Health_Status | Health status |
Mathematical Models
- Heart Rate:
HR = HR_base(age) + circadian + activity + AR(1) - Blood Pressure:
Correlated with HR (ρ ≈ 0.4) + morning surge - Glucose:
Fasting + Gaussian meal spikes (8:00, 13:00, 19:00)
Use Cases
- Remote patient monitoring
- Vital signs anomaly detection
- Clinical decision support
- Wearable analytics
Reproducibility
Seed: 3423218655. Reproduction requires the same engine version, parameters, seed, dependencies, and execution environment. IoTSyn v3.1.0.
Sample Data (60 rows · 12 columns)
| # | Timestamp | Patient_ID | Age_Group | Heart_Rate_bpm | BP_Systolic_mmHg | BP_Diastolic_mmHg | SpO2_Pct | Temperature_C | Respiratory_Rate | Glucose_mg_dL | Activity_Level | Health_Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2026-03-28 00:54:37 | P001 | Young_Adult | 72 | 116 | 74 | 98.10 | 37.10 | 13 | 106 | Rest | Normal |
| 2 | 2026-03-28 00:59:37 | P002 | Middle_Aged | 80 | 118 | 88 | 96.90 | 37 | 16 | 86 | Rest | Normal |
| 3 | 2026-03-28 01:04:37 | P003 | Elderly | 89 | 130 | 90 | 94.80 | 36.50 | 19 | 108 | Rest | Elevated |
| 4 | 2026-03-28 01:09:37 | P004 | Young_Adult | 64 | 110 | 70 | 98 | 37.20 | 13 | 80 | Rest | Normal |
| 5 | 2026-03-28 01:14:37 | P005 | Middle_Aged | 84 | 134 | 79 | 97.10 | 36.80 | 15 | 92 | Rest | Normal |
| 6 | 2026-03-28 01:19:37 | P006 | Elderly | 76 | 137 | 67 | 95.30 | 36.80 | 16 | 148 | Rest | Normal |
| 7 | 2026-03-28 01:24:37 | P007 | Young_Adult | 67 | 106 | 66 | 98.20 | 37.10 | 15 | 67 | Rest | Elevated |
| 8 | 2026-03-28 01:29:37 | P001 | Young_Adult | 70 | 114 | 72 | 98.20 | 37.10 | 14 | 93 | Rest | Normal |
| 9 | 2026-03-28 01:34:37 | P002 | Middle_Aged | 79 | 119 | 79 | 97.10 | 37 | 14 | 117 | Rest | Normal |
| 10 | 2026-03-28 01:39:37 | P003 | Elderly | 65 | 135 | 98 | 91.10 | 37.70 | 30 | 132 | Rest | Warning |
Showing first 10 of 60 sample rows
Data Visualization Interactive
Numeric Trends
Category Distribution
Cite This Dataset
IoTSyn (2026). Medical IoT Vitals — 3 Age Groups, 7 Patients [1K rows] #94f7. [Dataset]. IoTSyn Dataset Generator. https://iotsyn.com/view.php?uid=iotsyn_69d0614db14f24.20822183
Source metadata: IoTSyn Dataset Generator (2026)
Indexed by IoTDataset.com on Apr 04, 2026
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