Diagnostic accuracy of microEEG: a miniature, wireless EEG device

Area of Science:

• Neuroscience
• Medical Devices
• Clinical Diagnostics

Background:

• Evaluating the diagnostic accuracy (DA) of electroencephalogram (EEG) devices is challenging due to interrater reliability issues.
• Assessing EEG device performance is crucial for reliable clinical diagnostics.

Purpose of the Study:

• To compare the diagnostic accuracy of a miniature, wireless, battery-powered EEG device (microEEG) against a reference EEG machine.
• To evaluate the microEEG's performance in emergency department (ED) patients experiencing altered mental status (AMS).

Main Methods:

• Two hundred twenty-five ED patients with AMS underwent simultaneous EEG recordings using a reference EEG (EEG1) and the microEEG (EEG2).
• A separate microEEG recording (EEG3) was performed using an electrode cap.
• EEG interpretations were de-identified, blindly reviewed by two readers, and analyzed using a generalized mixed linear model relative to the EEG1 gold standard.

Main Results:

• Seventy-nine percent of the reference EEG interpretations (EEG1-GS) were abnormal.
• No significant differences were found in diagnostic odds ratios (DOR) or interrater reliabilities (κf) between the reference EEG and microEEG.
• The microEEG demonstrated comparable diagnostic accuracy to the reference system, even with high and unbalanced electrode impedances.

Conclusions:

• The microEEG device exhibits diagnostic accuracy comparable to a conventional reference EEG system.
• The microEEG's performance is not compromised by variations in electrode impedance, suggesting its utility in diverse clinical settings.
• Measuring the diagnostic accuracy of EEG devices provides a quantitative assessment of their performance, similar to other scientific instruments.