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Volumn , Issue , 2006, Pages 6053-6056
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Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological parameters
a,b c d |
Author keywords
[No Author keywords available]
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Indexed keywords
HYPOGLYCEMIC EPISODES;
MULTI LAYER NEURAL NETWORKS;
NEURAL NETWORK ALGORITHM;
VALIDATION SET;
FEEDFORWARD NEURAL NETWORKS;
INSULIN;
MEDICAL PROBLEMS;
NEUROLOGY;
NONINVASIVE MEDICAL PROCEDURES;
PATIENT TREATMENT;
PHYSIOLOGICAL MODELS;
DRUG THERAPY;
GLUCOSE;
ADOLESCENT;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CENTRAL NERVOUS SYSTEM;
CHILD;
COMPUTER PROGRAM;
GLUCOSE BLOOD LEVEL;
GLUCOSE CLAMP TECHNIQUE;
HEART RATE;
HUMAN;
HYPOGLYCEMIA;
INSULIN DEPENDENT DIABETES MELLITUS;
METABOLISM;
METHODOLOGY;
PATHOLOGY;
PATHOPHYSIOLOGY;
PHYSIOLOGIC MONITORING;
REPRODUCIBILITY;
ADOLESCENT;
ALGORITHMS;
BLOOD GLUCOSE;
CENTRAL NERVOUS SYSTEM;
CHILD;
DIABETES MELLITUS, TYPE 1;
GLUCOSE;
GLUCOSE CLAMP TECHNIQUE;
HEART RATE;
HUMANS;
HYPOGLYCEMIA;
MONITORING, PHYSIOLOGIC;
NEURAL NETWORKS (COMPUTER);
REPRODUCIBILITY OF RESULTS;
SOFTWARE;
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EID: 34047179021
PISSN: 05891019
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2006.259482 Document Type: Conference Paper |
Times cited : (28)
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References (13)
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