Electroencephalogram measurement using polymer-based dry microneedle electrode

This paper reports a successful electroencephalogram (EEG) measurement for hours using polymer-based microneedle electrodes. Needle electrodes can penetrate through the stratum corneum and therefore, do not require any skin treatment for high-quality EEG measurement. The tested needles consist of SU-8 needles, a silver film, and a nanoporous parylene protective film. In prior work, fabrication processes of polymer-based microneedles, which are considered to be more robust than silicon microneedles was developed. In this work, the electrical impedance was measured at the forehead and was verified to maintain 6 kΩ for 3 h without any skin treatment, which was low enough for EEG measurement. A headset was designed to keep the contact between the needles and skin and with its help, EEG was successfully measured from the frontal poles. The acquired signals were found to be as high quality as the standard wet electrode that required skin treatment and uncomfortable pasting of conductive gel. The developed electrodes are readily applicable to record brain activities for hours while applying little mental and physical stress to the users.

[1]  J. Wolpaw,et al.  Brain-Computer Interfaces: Principles and Practice , 2012 .

[2]  Norihisa Miki,et al.  Fabrication of Polymer Microneedle Electrodes Coated with Nanoporous Parylene , 2013 .

[3]  Jaeseung Jeong EEG dynamics in patients with Alzheimer's disease , 2004, Clinical Neurophysiology.

[4]  Effect of Tension and Curvature of Skin on Insertion Characteristics of Microneedle Array , 2010 .

[5]  G. Holzapfel,et al.  Penetration-Enhanced Ultrasharp Microneedles and Prediction on Skin Interaction for Efficient Transdermal Drug Delivery , 2007, Journal of Microelectromechanical Systems.

[6]  Ali Bülent Usakli,et al.  Improvement of EEG Signal Acquisition: An Electrical Aspect for State of the Art of Front End , 2010, Comput. Intell. Neurosci..

[7]  Jianhong Yang,et al.  Dry electrode for the measurement of biopotential signals , 2011, Science China Information Sciences.

[8]  T. Hemmerling,et al.  Electrocardiographic electrodes provide the same results as expensive special sensors in the routine monitoring of anesthetic depth. , 2002, Anesthesia and analgesia.

[9]  A Yli-Hankala,et al.  Are electrocardiogram electrodes acceptable for electroencephalogram bispectral index monitoring? , 2000, Acta anaesthesiologica Scandinavica.

[10]  M. Teplan FUNDAMENTALS OF EEG MEASUREMENT , 2002 .

[11]  Francis E. H. Tay,et al.  A microfabricated electrode with hollow microneedles for ECG measurement , 2009 .

[12]  G Pfurtscheller,et al.  Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  Göran Stemme,et al.  Characterization of micromachined spiked biopotential electrodes , 2002, IEEE Transactions on Biomedical Engineering.

[14]  H. Flor,et al.  The thought translation device (TTD) for completely paralyzed patients. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[15]  A. Walker Electroencephalography, Basic Principles, Clinical Applications and Related Fields , 1982 .

[16]  José Higino Correia,et al.  New dry electrodes based on iridium oxide (IrO) for non-invasive biopotential recordings and stimulation , 2010 .

[17]  André van Schaik,et al.  A new EEG recording system for passive dry electrodes , 2010, Clinical Neurophysiology.

[18]  S. Rombouts,et al.  Investigation of EEG non-linearity in dementia and Parkinson's disease. , 1995, Electroencephalography and clinical neurophysiology.

[19]  Robert Puers,et al.  Determining the Young's modulus and creep effects in three different photo definable epoxies for MEMS applications , 2009 .

[20]  C. Greiner,et al.  SU-8: a photoresist for high-aspect-ratio and 3D submicron lithography , 2007 .

[21]  M. Allen,et al.  Micromachined needles for the transdermal delivery of drugs , 1998, Proceedings MEMS 98. IEEE. Eleventh Annual International Workshop on Micro Electro Mechanical Systems. An Investigation of Micro Structures, Sensors, Actuators, Machines and Systems (Cat. No.98CH36176.

[22]  Norihisa Miki,et al.  Formation of polymer microneedle arrays using soft lithography , 2011 .

[23]  M. Salinsky,et al.  Effectiveness of Multiple EEGs in Supporting the Diagnosis of Epilepsy: An Operational Curve , 1987, Epilepsia.

[24]  J. Hadgraft,et al.  Skin: the ultimate interface. , 2011, Physical chemistry chemical physics : PCCP.

[25]  Dennis J. McFarland,et al.  Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.

[26]  Marcelo Haberman,et al.  Insulating electrodes: a review on biopotential front ends for dielectric skin–electrode interfaces , 2010, Physiological measurement.

[27]  Peter Enoksson,et al.  Micromachined electrodes for biopotential measurements , 2001 .

[28]  E. Donchin,et al.  A P300-based brain–computer interface: Initial tests by ALS patients , 2006, Clinical Neurophysiology.

[29]  Jonathan R. Wolpaw,et al.  Brain–Computer InterfacesPrinciples and Practice , 2012 .

[30]  Shekhar Bhansali,et al.  Sharpening of hollow silicon microneedles to reduce skin penetration force , 2010 .

[31]  David F. Moore,et al.  Micromechanical testing of SU-8 cantilevers , 2005 .