Medical IoT Vitals — 3 Age Groups, 7 Patients [1K rows] #94f7
Abstract
"Synthetic Healthcare / IoMT dataset with 1,000 data points. 12 columns. Config: Default configuration. CC0 licensed."
Description
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. Same seed + parameters = identical output. IoTSyn v3.1.
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: IoTSyn Dataset Generator (2026)
Indexed by IoTDataset.com on Apr 04, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.