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Related Concept Videos

Hypoglycemia and Glucagon01:15

Hypoglycemia and Glucagon

Without prolonged fasting, healthy individuals maintain blood glucose levels above 3.5 mM due to a well-adapted neuroendocrine counterregulatory system that effectively prevents acute hypoglycemia, a potentially life-threatening condition. The primary clinical scenarios for hypoglycemia encompass diabetes treatment, inappropriate production of endogenous insulin or insulin-like substances by tumors, and the use of glucose-lowering agents in non-diabetic individuals. Notably, hypoglycemia in the...
Hypoglycemia01:26

Hypoglycemia

Hypoglycemia is a blood glucose level below 70 mg/dL. It commonly occurs in individuals using insulin or insulin-secreting drugs, but may also arise in non-diabetic conditions. People with type 1 diabetes are at the highest risk because they depend on exogenous insulin. People with type 2 diabetes are also at risk, especially when treated with insulin or medications such as sulfonylureas, which increase insulin release regardless of blood glucose levels. It develops when insulin levels exceed...
Hyperglycemia01:29

Hyperglycemia

Hyperglycemia is an abnormally high blood glucose level. It is diagnosed by fasting glucose ≥126 mg/dL, 2-hour oral glucose tolerance test (or OGTT) ≥200 mg/dL, random glucose ≥200 mg/dL with symptoms, or HbA1c ≥6.5%. However, HbA1c results may be unreliable in certain conditions, such as anemia or hemoglobinopathies, and the diagnosis should be confirmed unless classic symptoms are present. Postprandial hyperglycemia is typically considered significant when glucose levels exceed 180 mg/dL two...
Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis01:25

Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis

Type 2 diabetes mellitus develops gradually and is often asymptomatic in early stages.Clinical ManifestationsWhen symptoms appear, they include fatigue, blurred vision, pruritus, delayed wound healing, and recurrent infections, particularly candidal infections. Peripheral neuropathy may present as numbness or tingling in the extremities. Classic hyperglycemia symptoms—polyuria, polydipsia, and polyphagia—are less common. Most patients are overweight and frequently have associated hypertension...
Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
Hyperosmolar Hyperglycemic State01:21

Hyperosmolar Hyperglycemic State

Hyperosmolar Hyperglycemic State, or HHS, is a serious and life-threatening complication of type 2 diabetes mellitus. It is characterized by three main features: severe hyperglycemia, profound dehydration, and elevated serum osmolality, all occurring without significant ketoacidosis.HHS typically develops in older adults or individuals with limited access to fluids. This may result from illness, cognitive impairment, or medications such as diuretics or corticosteroids. These factors reduce...

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Related Experiment Video

Updated: Jun 6, 2026

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice
07:35

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice

Published on: January 26, 2024

Evolved fuzzy reasoning model for hypoglycaemic detection.

S H Ling1, N Nuryani, H T Nguyen

  • 1Centre for Health Technologies, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia. Steve.Ling@uts.edu.au

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
Summary
This summary is machine-generated.

Early detection of hypoglycaemia in Type 1 diabetes mellitus (T1DM) is crucial. This study developed an evolved fuzzy reasoning model using physiological data for accurate hypoglycemic episode recognition.

Related Experiment Videos

Last Updated: Jun 6, 2026

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice
07:35

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice

Published on: January 26, 2024

Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence in Medicine
  • Diabetes Management

Background:

  • Hypoglycaemia is a significant complication of insulin therapy for diabetes.
  • Continuous monitoring of physiological parameters can aid in early detection of hypoglycaemic episodes.
  • Type 1 diabetes mellitus (T1DM) patients are particularly vulnerable to hypoglycaemia.

Purpose of the Study:

  • To develop an early detection system for hypoglycaemic episodes in T1DM patients.
  • To utilize physiological parameters like heart rate and ECG for hypoglycaemia detection.
  • To create an evolved fuzzy reasoning model (FRM) optimized for recognizing hypoglycaemic events.

Main Methods:

  • Continuous measurement of physiological parameters including heart rate and corrected QT interval of ECG.
  • Development of an evolved fuzzy reasoning model (FRM) for hypoglycaemia detection.
  • Optimization of FRM using a hybrid particle swarm optimization with wavelet mutation algorithm.

Main Results:

  • The proposed evolved fuzzy reasoning model demonstrated effective recognition of hypoglycaemic episodes.
  • The algorithm achieved good clinical sensitivity and specificity in detecting hypoglycaemia.
  • Data was collected from a clinical study involving patients in Western Australia.

Conclusions:

  • The developed evolved fuzzy reasoning model shows promise for early and accurate detection of hypoglycaemia in T1DM patients.
  • Continuous physiological monitoring combined with optimized AI models can improve diabetes management.
  • This approach offers a potential tool for enhancing patient safety during insulin therapy.