Anomaly Detection in the Artificial Pancreas

The integration of subcutaneous sensing and insulin delivery technologies with novel control strategies has brought closer the development of the Artificial Pancreas. Nevertheless, thought recent developments are aimed at preventing chronic complications and less patient discomfort, few works have a...

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Detalles Bibliográficos
Autores principales: Avila, Luis, Martínez, Ernesto
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
Artificial pancreas
Glucose Monitoring
Clarke EGA
Performance Degradation
Diabetes Management
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/93599
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-93599
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Artificial pancreas
Glucose Monitoring
Clarke EGA
Performance Degradation
Diabetes Management
spellingShingle Ciencias Informáticas
Artificial pancreas
Glucose Monitoring
Clarke EGA
Performance Degradation
Diabetes Management
Avila, Luis
Martínez, Ernesto
Anomaly Detection in the Artificial Pancreas
topic_facet Ciencias Informáticas
Artificial pancreas
Glucose Monitoring
Clarke EGA
Performance Degradation
Diabetes Management
description The integration of subcutaneous sensing and insulin delivery technologies with novel control strategies has brought closer the development of the Artificial Pancreas. Nevertheless, thought recent developments are aimed at preventing chronic complications and less patient discomfort, few works have addressed the critical issue of performance monitoring of the artificial pancreas as well as detection of abnormal functioning in any of its components. This work presents an anomaly detection monitoring tool using the widely known Clarke Error-Grid to identify functional degradation in the artificial pancreas components and guarantee safetycritical control of blood glucose levels. The effect of imperfect calibration of glucose sensors, time lag between blood glucose concentration and interstitial glucose readings, and excessive variability in glucose levels are evaluated against an expected behavior of the glucose regulation loop achieved through an optimal control policy. Results obtained evidence the feasibility of this novel use of the Clarke error grid as a comprehensive monitoring tool for the artificial pancreas.
format Objeto de conferencia
Objeto de conferencia
author Avila, Luis
Martínez, Ernesto
author_facet Avila, Luis
Martínez, Ernesto
author_sort Avila, Luis
title Anomaly Detection in the Artificial Pancreas
title_short Anomaly Detection in the Artificial Pancreas
title_full Anomaly Detection in the Artificial Pancreas
title_fullStr Anomaly Detection in the Artificial Pancreas
title_full_unstemmed Anomaly Detection in the Artificial Pancreas
title_sort anomaly detection in the artificial pancreas
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/93599
work_keys_str_mv AT avilaluis anomalydetectionintheartificialpancreas
AT martinezernesto anomalydetectionintheartificialpancreas
bdutipo_str Repositorios
_version_ 1764820491428691968

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