Hypoglycemia Vehicle Detection System Using Non-Invasive Sensors Applying Both EEG And HRV Real Time Measures: Neuroergonomics Theoretical Design
Authors: Awad Aljuaid
Abstract: During COVID 19 pandemic the global needs for online shopping, ride-sharing transportation, and food delivery services have been dramatically increased. The drivers who suffer from diabetes especially low blood sugar level (Hypoglycemia) are more likely at risk than others. Earlier literature has revealed that hypoglycemic issues in patients with diabetes are correlated with significant changes in scalp electroencephalography (EEG); signals amplitude (time domain) or power spectral density (frequency domain). In addition, Haret rate variability HRV which reflects the balance between the sympathetic and parasympathetic nervous system has been proven as one of the indicators of Hypoglycemia. The aim of this paper to propose a conceptual design of a Vehicle detection system using both EEG and HRV measures at the same time in real time feed using non-invasive sensors to reduce the potential of driver’s cognitive dysfunction.
Keywords: Hypoglycemia, Non-Invasive Sensors, Neuroergonomics, EEG, HRV, COVID 19
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