Comparison of a Novel Dry Electrode Headset to Standard Routine EEG in Veterans

Objective: This purpose of this study was to evaluate the usefulness of a prototype battery-powered dry electrode system (DES) EEG recording headset in Veteran patients by comparing it with standard EEG. Methods: Twenty-one Veterans had both a standard electrode system recording and DES recording in nine different patient states at the same encounter. Setup time, patient comfort, and subject preference were measured. Three experts performed technical quality rating of each EEG recording in a blinded fashion using the web-based EEGnet system. Power spectra were compared between DES and standard electrode system recordings. Results: The average time for DES setup was 5.7 minutes versus 21.1 minutes for standard electrode system. Subjects reported that the DES was more comfortable during setup. Most subjects (15 of 21) preferred the DES. On a five-point scale (1—best quality to 5—worst quality), the technical quality of the standard electrode system recordings was significantly better than for the DES recordings, at 1.25 versus 2.41 (P < 0.0001). But experts found that 87% of the DES EEG segments were of sufficient technical quality to be interpretable. Conclusions: This DES offers quick and easy setup and is well tolerated by subjects. Although the technical quality of DES recordings was less than standard EEG, most of the DES recordings were rated as interpretable by experts. Significance: This DES, if improved, could be useful for a telemedicine approach to outpatient routine EEG recording within the Veterans Administration or other health system.

[1]  Jeremy D. Slater,et al.  Quality assessment of electroencephalography obtained from a “dry electrode” system , 2012, Journal of Neuroscience Methods.

[2]  D. Tucker,et al.  Scalp electrode impedance, infection risk, and EEG data quality , 2001, Clinical Neurophysiology.

[3]  Robert J. Schalkoff,et al.  Standardized database development for EEG epileptiform transient detection: EEGnet scoring system and machine learning analysis , 2013, Journal of Neuroscience Methods.

[4]  R T Knight,et al.  A dry electrode for EEG recording. , 1994, Electroencephalography and clinical neurophysiology.

[5]  Charles M Epstein Digital EEG: Trouble in Paradise? , 2006, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[6]  Tzyy-Ping Jung,et al.  Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review , 2010, IEEE Reviews in Biomedical Engineering.

[7]  Neil J. McDonald,et al.  Novel Hybrid Bioelectrodes for Ambulatory Zero-Prep EEG Measurements Using Multi-channel Wireless EEG System , 2007, HCI.

[8]  Guideline One: Minimum Technical Requirements for Performing Clinical Electroencephalography , 1986, American journal of electroneurodiagnostic technology.

[9]  Vojkan Mihajlovic,et al.  To What Extent can Dry and Water-based EEG Electrodes Replace Conductive Gel Ones? - A Steady State Visual Evoked Potential Brain-computer Interface Case Study , 2011, BIODEVICES.

[10]  F. H. Lopes da Silva,et al.  Biophysical aspects of EEG and magnetoencephalogram generation , 1998 .