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Detection of Correct and Incorrect Measurements in Real-Time Continuous Glucose Monitoring Systems by Applying a Postprocessing Support Vector Machine

Leal, Yenny ; Gonzalez-Abril, Luis ; Lorencio, Carol ; Bondia, Jorge ; Vehi, Josep

IEEE transactions on biomedical engineering, 2013-07, Vol.60 (7), p.1891-1899 [Periódico revisado por pares]

United States: IEEE

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Título:
Detection of Correct and Incorrect Measurements in Real-Time Continuous Glucose Monitoring Systems by Applying a Postprocessing Support Vector Machine
Autor: Leal, Yenny ; Gonzalez-Abril, Luis ; Lorencio, Carol ; Bondia, Jorge ; Vehi, Josep
Assuntos: Accuracy ; Aged ; Algorithms ; Balanced performance ; Blood Glucose - analysis ; Computer Systems ; continuous glucose monitoring ; critically ill patients ; Diagnosis, Computer-Assisted - methods ; Drug Therapy, Computer-Assisted - methods ; fault detection ; Female ; Humans ; Hyperglycemia - blood ; Hyperglycemia - diagnosis ; Hyperglycemia - drug therapy ; Hypoglycemic Agents - administration & dosage ; Insulin ; Insulin - administration & dosage ; Male ; Middle Aged ; Monitoring ; Reproducibility of Results ; Sensitivity and Specificity ; Sugar ; Support Vector Machine ; Support vector machines ; support vector machines (SVMs)
É parte de: IEEE transactions on biomedical engineering, 2013-07, Vol.60 (7), p.1891-1899
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Descrição: Support vector machines (SVMs) are an attractive option for detecting correct and incorrect measurements in real-time continuous glucose monitoring systems (RTCGMSs), because their learning mechanism can introduce a postprocessing strategy for imbalanced datasets. The proposed SVM considers the geometric mean to obtain a more balanced performance between sensitivity and specificity. To test this approach, 23 critically ill patients receiving insulin therapy were monitored over 72 h using an RTCGMS, and a dataset of 537 samples, classified according to International Standards Organization (ISO) criteria (372 correct and 165 incorrect measurements), was obtained. The results obtained were promising for patients with septic shock or with sepsis, for which the proposed system can be considered as reliable. However, this approach cannot be considered suitable for patients without sepsis.
Editor: United States: IEEE
Idioma: Inglês

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Detection of Correct and Incorrect Measurements in Real-Time Continuous Glucose Monitoring Systems by Applying a Postprocessing Support Vector Machine

Leal, Yenny ; Gonzalez-Abril, Luis ; Lorencio, Carol ; Bondia, Jorge ; Vehi, Josep

United States: IEEE

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