Abstract
Background: An insulin pump shutof system can prevent nocturnal hypoglycemia and is a first step on the pathway toward a closed-loop artificial pancreas. In previous pump shutoff studies using a voting algorithm and a 1 min continuous glucose monitor (CGM), 80% of induced hypoglycemic events were prevented. Methods: The pump shutoff algorithm used in previous studies was revised to a single Kalman filter to reduce complexity, incorporate CGMs with diferent sample times, handle sensor signal dropouts, and enforce safety constraints on the allowable pump shutof time. Results: Retrospective testing of the new algorithm on previous clinical data sets indicated that, for the four cases where the previous algorithm failed (minimum reference glucose less than 60 mg/dl), the mean suspension start time was 30 min earlier than the previous algorithm. Inpatient studies of the new algorithm have been conducted on 16 subjects. The algorithm prevented hypoglycemia in 73% of subjects. Suspension-induced hyperglycemia is not assessed, because this study forced excessive basal insulin infusion rates. Conclusions: The new algorithm functioned well and is flexible enough to handle variable sensor sample times and sensor dropouts. It also provides a framework for handling sensor signal attenuations, which can be challenging, particularly when they occur overnight.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1142-1147 |
| Number of pages | 6 |
| Journal | Journal of diabetes science and technology |
| Volume | 6 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2012 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Endocrinology, Diabetes and Metabolism
- Internal Medicine
- Bioengineering
- Biomedical Engineering
Cite this
Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm. / Cameron, Fraser; Wilson, Darrell M.; Buckingham, Bruce A.; Arzumanyan, Hasmik; Clinton, Paula; Chase, H. Peter; Lum, John; Maahs, David M.; Calhoun, Peter M.; Bequette, B. Wayne.
In: Journal of diabetes science and technology, Vol. 6, No. 5, 2012, p. 1142-1147.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm
AU - Cameron, Fraser
AU - Wilson, Darrell M.
AU - Buckingham, Bruce A.
AU - Arzumanyan, Hasmik
AU - Clinton, Paula
AU - Chase, H. Peter
AU - Lum, John
AU - Maahs, David M.
AU - Calhoun, Peter M.
AU - Bequette, B. Wayne
PY - 2012
Y1 - 2012
N2 - Background: An insulin pump shutof system can prevent nocturnal hypoglycemia and is a first step on the pathway toward a closed-loop artificial pancreas. In previous pump shutoff studies using a voting algorithm and a 1 min continuous glucose monitor (CGM), 80% of induced hypoglycemic events were prevented. Methods: The pump shutoff algorithm used in previous studies was revised to a single Kalman filter to reduce complexity, incorporate CGMs with diferent sample times, handle sensor signal dropouts, and enforce safety constraints on the allowable pump shutof time. Results: Retrospective testing of the new algorithm on previous clinical data sets indicated that, for the four cases where the previous algorithm failed (minimum reference glucose less than 60 mg/dl), the mean suspension start time was 30 min earlier than the previous algorithm. Inpatient studies of the new algorithm have been conducted on 16 subjects. The algorithm prevented hypoglycemia in 73% of subjects. Suspension-induced hyperglycemia is not assessed, because this study forced excessive basal insulin infusion rates. Conclusions: The new algorithm functioned well and is flexible enough to handle variable sensor sample times and sensor dropouts. It also provides a framework for handling sensor signal attenuations, which can be challenging, particularly when they occur overnight.
AB - Background: An insulin pump shutof system can prevent nocturnal hypoglycemia and is a first step on the pathway toward a closed-loop artificial pancreas. In previous pump shutoff studies using a voting algorithm and a 1 min continuous glucose monitor (CGM), 80% of induced hypoglycemic events were prevented. Methods: The pump shutoff algorithm used in previous studies was revised to a single Kalman filter to reduce complexity, incorporate CGMs with diferent sample times, handle sensor signal dropouts, and enforce safety constraints on the allowable pump shutof time. Results: Retrospective testing of the new algorithm on previous clinical data sets indicated that, for the four cases where the previous algorithm failed (minimum reference glucose less than 60 mg/dl), the mean suspension start time was 30 min earlier than the previous algorithm. Inpatient studies of the new algorithm have been conducted on 16 subjects. The algorithm prevented hypoglycemia in 73% of subjects. Suspension-induced hyperglycemia is not assessed, because this study forced excessive basal insulin infusion rates. Conclusions: The new algorithm functioned well and is flexible enough to handle variable sensor sample times and sensor dropouts. It also provides a framework for handling sensor signal attenuations, which can be challenging, particularly when they occur overnight.
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U2 - 10.1177/193229681200600519
DO - 10.1177/193229681200600519
M3 - Article
C2 - 23063041
AN - SCOPUS:84869081609
VL - 6
SP - 1142
EP - 1147
JO - Journal of diabetes science and technology
JF - Journal of diabetes science and technology
SN - 1932-2968
IS - 5
ER -