Table 5.
List of SpO2 samples recognized as outliers.
| Subject ID | # blood sample | SaO2 [%] | (SpO2-SaO2) [%] |
|---|---|---|---|
| 5 | 1 | 99.0 | −5 |
| 5 | 3 | 96.1 | −6.1 |
| 5 | 13 | 73.1 | 4.9 |
| 5 | 14 | 99.7 | −4.7 |
| 5 | 22 | 79.0 | 5.0 |
| 5 | 24 | 70.3 | 5.7 |
| 5 | 25 | 70.2 | 5.8 |
| 6 | 10 | 73.6 | 5.4 |
| 6 | 11 | 72.5 | 6.5 |
| 6 | 21 | 79.0 | 5.0 |
| 6 | 22 | 75.2 | 4.8 |
| 6 | 24 | 72.9 | 5.1 |
| 7 | 20 | 95.3 | −5.3 |
| 8 | 1 | 98.9 | −5.9 |
| 9 | 11 | 80.1 | 4.9 |
| 9 | 18 | 84.1 | 4.9 |
| 9 | 20 | 78.9 | 5.1 |
| 9 | 21 | 73.7 | 8.3 |
| 9 | 22 | 69.1 | 8.9 |
| 9 | 23 | 71.5 | 5.5 |
| 9 | 24 | 69.0 | 8.0 |
| 10 | 23 | 73.7 | 5.3 |
| 11 | 1 | 98.6 | −6.6 |
| 11 | 14 | 100.1 | −5.1 |
| 14 | 13 | 80.6 | −5.6 |
| 14 | 25 | 78.8 | −4.8 |
For each sample, the subject ID, the corresponding blood sample number, the SaO2 value, and the error are reported. Negative error values indicate underestimation by the SpO2 algorithm, while positive errors indicate overestimation.