Abstract
"Comprehensive Fall Detection dataset combining physiological data (Heart Rate, BP, EEG) with sensor readings to classify fall events."
Description
Dataset Overview
This dataset is unique as it combines vital signs with fall detection, making it ideal for complex IoMT systems.
Parameters:
- HR: Heart Rate.
- BP: Blood Pressure.
- EEG: Brain activity readings.
- Circulation: Blood circulation index.
- Activity: Fall / Standing / Walking.
Data Preview
| Activity | Time | SL | EEG | BP | HR | Circulation |
|---|---|---|---|---|---|---|
| 3 | 4722.92 | 4019.64 | -1600.00 | 13 | 79 | 317 |
| 2 | 4059.12 | 2191.03 | -1146.08 | 20 | 54 | 165 |
| 3 | 4773.56 | 2787.99 | -1263.38 | 46 | 67 | 224 |
| 4 | 8271.27 | 9545.98 | -2848.93 | 26 | 138 | 93 |
| 5 | 8267.44 | 7879.65 | -2145.61 | 20 | 50 | 50 |
Showing first few rows for preview
Cite This Dataset
External (2026). Fall Detection Data (Medical Sensors). [Dataset]. External. https://www.kaggle.com/datasets/uttejkumarkandagatla/fall-detection-dataset/data
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 09, 2026
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