Neurotechnology and mHealth

We have developed a novel (patent pending) electric field measurement technology called Electric Field Encephalography (EFEG) for brain signal monitoring. NeuroFieldz technology is comprised of a system of high density array of sensors for measuring and analyzing the electric fields generated by the brain arising from intrinsic activity or external stimuli. The EFEG brain monitoring technique is a new modality that has several advantages over the current modalities, electroencephalography EEG (which measures the electric potential on the scalp) and magnetoencephalography MEG (which measures the magnetic field). Compared with MEG, EFEG has higher spatial resolution, is unaffected by stray magnetic fields, and does not require expensive bulky cryogenic equipment, thus making it field-deployable. Compared with EEG, EFEGTM is reference-less, has higher spatial resolution, leads to increased number of uncorrelated signals, and improves source reconstruction precision.  EFEG also provides dynamical information on millisecond time scales which is much faster than fMRI. The accurate source localization provided by EFEG will be of immense benefit in analyzing and localizing neurological signals (e.g. epileptic), as well as understanding the brains response to external stimuli. 

Ultra-dense EEG sampling results in two-fold increase of functional brain information  (to appear in NeuroImage)

We used an ultra-density electroencephalography (ud-EEG) sensor array with improved electrical characteristics to reveal unexpected strong potential variation at 1 cm scale. A new classification paradigm demonstrates that ud-EEG provides twice the signal to noise ratio for data classification compared with contemporary hd-EEG. These results suggest a paradigm shift from current thinking by showing that higher spatial resolution sampling of EEG is required and leads to increased functional brain information that is useful for diverse neurological applications. 

Electric Field Encephalography as a Tool for Functional Brain Research: A Modeling Study (PLOSOne, July 2013 | Vol 8 | e67692)

We introduce the notion of Electric Field Encephalography (EFEG) based on measuring electric fields of the brain and
demonstrate, using computer modeling, that given the appropriate electric field sensors this technique may have significant
advantages over the current EEG technique. Unlike EEG, EFEG can be used to measure brain activity in a contactless and
reference-free manner at significant distances from the head surface. Principal component analysis using simulated cortical
sources demonstrated that electric field sensors positioned 3 cm away from the scalp and characterized by the same signalto-
noise ratio as EEG sensors provided the same number of uncorrelated signals as scalp EEG. When positioned on the scalp,
EFEG sensors provided 2–3 times more uncorrelated signals. This significant increase in the number of uncorrelated signals
can be used for more accurate assessment of brain states for non-invasive brain-computer interfaces and neurofeedback
applications. It also may lead to major improvements in source localization precision.