The Effect of Hypoglycemia on Spectral Moments in EEG Epochs of Different Durations in Type 1 Diabetes Patients

The potential of using an electroencephalogram (EEG) to detect hypoglycemia in patients with type 1 diabetes has been investigated in both time and frequency domains. Under hyperinsulinemic hypoglycemic clamp conditions, we have shown that the brain's response to hypoglycemic episodes could be described by the centroid frequency and spectral gyration radius evaluated from spectral moments of EEG signals.

Citation:
Ngo CQ, Chai R, Jones TW, Nguyen HT. The Effect of Hypoglycemia on Spectral Moments in EEG Epochs of Different Durations in Type 1 Diabetes Patients. IEEE J Biomed Health Inform. 2021;25(8):2857-65.

Keywords:
Adolescent; Algorithms; Bayes Theorem; Diabetes Mellitus; Type 1/diagnosis; Electroencephalography; Hypoglycemia/diagnosis

Abstract:
The potential of using an electroencephalogram (EEG) to detect hypoglycemia in patients with type 1 diabetes has been investigated in both time and frequency domains. Under hyperinsulinemic hypoglycemic clamp conditions, we have shown that the brain's response to hypoglycemic episodes could be described by the centroid frequency and spectral gyration radius evaluated from spectral moments of EEG signals.