Mobile EEG Monitoring


Kevin Sweeney, Sean McLoone, Tomas Ward


Electroencephalography (EEG) is the measurement of the electrical activity produced by the brain and is used to detect any abnormalities in said activity. Small metal discs with thin wires (electrodes) are placed on the scalp, and then send the detected signals to a computer to record the results. Normal electrical activity in the brain makes a recognizable pattern. By use of EEG, specialists can look for abnormal patterns that indicate seizures and other neural problems.

The most common reason that an EEG is performed, to date, is to diagnose and monitor seizure disorders. EEGs can also help to identify causes of other problems such as sleep disorders and changes in behaviour. EEGs are also sometimes used to evaluate brain activity after a severe head injury or as an interface between the brain and a computer (BCI).

Here in Maynooth we are attempting to develop an EEG device capable of recording in an Ambulatory setting. This project thus is in two main parts. First, the development of an affordable EEG unit capable of detecting EEG from a limited number of electrodes: And second is the use of Signal Processing techniques to remove the many artifacts found in the detected EEG signal. The final device could then be used in many areas including monitoring drowsiness and attention levels in any environment.

Papers: (2010 - 2012)

Sweeney, K.T.; Ayaz, H.; Ward, T.E.; Izzetoglu, M.; McLoone, S.F.; Onaral, B., "A Methodology for Validating Artifact Removal Techniques for Physiological Signals," Information Technology in Biomedicine, IEEE Transactions on , vol.16, no.5, pp.918,926, Sept. 2012 doi: 10.1109/TITB.2012.2207400

Sweeney, K.T.; Leamy, D.J.; Ward, T.E.; McLoone, S., "Intelligent artifact classification for ambulatory physiological signals," Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , vol., no., pp.6349,6352, Aug. 31 2010-Sept. 4 2010 doi: 10.1109/IEMBS.2010.5627285

Sweeney, Kevin and McLoone, Sean and Ward, Tomas (2010) A simple bio-signals quality measure for in-home monitoring. In: Biomedical Engineering (Vol. 1 and Vol. 2), February 17 – 19, 2010 , Innsbruck, Austria