Research Article
Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System
Table 4
Population metrics comparing the performance of the system with the dynamic rule-based algorithm (
) against other strategies, in scenario C.
| | | | | Without |
| Daytime (06:00–23:00) | | | | | Mean glucose | 140.30 (134.2–143.5) | 135.57 (133.0–140.3) | 142.72 (134.7–145.3) | 116.92 (114.0–121.6) | % of time spent in | | | | | 70–140 | 56.58 (49.3–66.3) | 60.17 (56.1–65.4) | 53.43 (46.3–64.6) | 71.53 (67.4–79.4) | 70–180 | 92.10 (85.5–95.3) | 92.70 (85.9–96.6) | 90.91 (85.2–95.0) | 90.88 (83.5–93.7) | >180 | 7.90 (4.7–14.5) | 7.30 (3.4–14.1) | 9.09 (5.0–14.8) | 5.25 (3.0–8.4) | <70 | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 5.27 (0.4–9.9) | <54 | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 1.61 (0.0–6.3) | # Hypoglycemic events | 3 | 4 | 4 | 112 | Night-time (06:00–23:00) | | | | | Mean glucose | 114.61 (112.1–118.8) | 106.51 (104.0–107.2) | 114.81 (112.9–126.1) | 102.37 (100.1–103.9) | % of time spent in | | | | | 70–140 | 98.09 (94.3–99.1) | 99.36 (96.0–100.0) | 97.75 (87.2–99.2) | 98.04 (96.0–99.3) | 70–180 | 100.00 (100.0–100.0) | 100.00 (100.0–100.0) | 100.00 (100.0–100.0) | 98.13 (97.1–99.4) | >180 | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | <70 | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 1.87 (0.6–2.9) | <54 | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.00 (0.0–0.0) | 0.13 (0.0–0.9) | # Hypoglycemic events | 0 | 4 | 0 | 11 |
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