Table 2 Sample data collection from real time sensor data.
From: Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection
Timestamp | Sensor ID | Data Type | Collected Data | Signal Quality | Anomalies Detected | Comments |
|---|---|---|---|---|---|---|
2024-05-09 10:00:00 | PPG001 | Heart Rate | 120 bpm | High | None | Normal heart rate detected |
2024-05-09 10:00:05 | CAM002 | Skin Color | Normal (RGB: 230, 200, 180) | High | None | Skin color within normal range |
2024-05-09 10:00:10 | PPG001 | Heart Rate | 115 bpm | High | None | Slight decrease in heart rate |
2024-05-09 10:00:15 | CAM002 | Movement | Low Activity | Moderate | None | Minimal movement detected |
2024-05-09 10:00:20 | PPG001 | Heart Rate | 70 bpm | Moderate | Possible Bradycardia | Alert triggered |
2024-05-09 10:00:25 | CAM002 | Skin Color | Pale (RGB: 220, 190, 160) | High | Hypoglycemia Alert | Skin color pale, potential issue |
2024-05-09 10:00:30 | PPG001 | Heart Rate | 65 bpm | Moderate | Hypoglycemia Alert | Continued low heart rate |
2024-05-09 10:00:35 | CAM002 | Perspiration | High | High | Hypoglycemia Alert | Excessive perspiration detected |
