Journal of Healthcare Engineering / 2020 / Article / Tab 4

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 glucose140.30 (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
 70–14056.58 (49.3–66.3)60.17 (56.1–65.4)53.43 (46.3–64.6)71.53 (67.4–79.4)
 70–18092.10 (85.5–95.3)92.70 (85.9–96.6)90.91 (85.2–95.0)90.88 (83.5–93.7)
 >1807.90 (4.7–14.5)7.30 (3.4–14.1)9.09 (5.0–14.8)5.25 (3.0–8.4)
 <700.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)5.27 (0.4–9.9)
 <540.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)1.61 (0.0–6.3)
 # Hypoglycemic events344112
Night-time (06:00–23:00)
 Mean glucose114.61 (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
 70–14098.09 (94.3–99.1)99.36 (96.0–100.0)97.75 (87.2–99.2)98.04 (96.0–99.3)
 70–180100.00 (100.0–100.0)100.00 (100.0–100.0)100.00 (100.0–100.0)98.13 (97.1–99.4)
 >1800.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)
 <700.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)1.87 (0.6–2.9)
 <540.00 (0.0–0.0)0.00 (0.0–0.0)0.00 (0.0–0.0)0.13 (0.0–0.9)
 # Hypoglycemic events04011

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