Inpatient Studies of a Kalman-Filter-Based Predictive Pump Shutoff Algorithm

التفاصيل البيبلوغرافية
العنوان: Inpatient Studies of a Kalman-Filter-Based Predictive Pump Shutoff Algorithm
المؤلفون: Bruce A. Buckingham, H. Peter Chase, Peter Calhoun, Hasmik Arzumanyan, B. Wayne Bequette, Fraser Cameron, Paula Clinton, Darrell M. Wilson, David M. Maahs, John Lum
بيانات النشر: Diabetes Technology Society, 2012.
سنة النشر: 2012
مصطلحات موضوعية: Insulin pump, Adult, Blood Glucose, medicine.medical_specialty, viruses, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Biomedical Engineering, Bioengineering, Biosensing Techniques, Hypoglycemia, Nocturnal hypoglycemia, Artificial pancreas, Insulin Infusion Systems, Control theory, Internal medicine, Blood Glucose Self-Monitoring, Internal Medicine, medicine, Humans, Hypoglycemic Agents, Insulin, Retrospective Studies, Electronic Data Processing, Inpatients, business.industry, Kalman filter, Equipment Design, biochemical phenomena, metabolism, and nutrition, medicine.disease, Circadian Rhythm, Equipment Failure Analysis, Endocrinology, Diabetes Mellitus, Type 1, Voting algorithm, Original Article, business, Algorithms
الوصف: An insulin pump shutoff 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.The pump shutoff algorithm used in previous studies was revised to a single Kalman filter to reduce complexity, incorporate CGMs with different sample times, handle sensor signal dropouts, and enforce safety constraints on the allowable pump shutoff time.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.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.
اللغة: English
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d884d05f1837cdd14c71a3224ae6fa3fTest
https://europepmc.org/articles/PMC3570849Test/
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....d884d05f1837cdd14c71a3224ae6fa3f
قاعدة البيانات: OpenAIRE