BCI and AI applications in Epilepsy care, intracranial EEG (icEEG), and Neurology

The main applications of the Brain-Computer Interface (BCI) have been in the domain of rehabilitation, control of prosthetics, and neuro-feedback. Only a few clinical applications presently exist for the management of drug-resistant epilepsy. Epilepsy surgery can be a life-changing procedure in the subset of millions of medically intractable patients. Recording of seizures and localization of the Seizure Onset Zone (SOZ) in the subgroup of “surgical” patients, who require intracranial-EEG (icEEG) evaluations, remain to date the best available surrogate marker of the epileptogenic tissue. icEEG presents specific risks and challenges, making it a frontier that will benefit from optimization. Despite several novel biomarkers for the localization of epileptic brain regions (HFOs-spikes vs. Spikes, for instance), integration of most in practices is not at the prime time as it requires a degree of knowledge about signal and computation…

Keywords: high-frequency oscillations, high-frequency brain stimulation, single-pulse electrical stimulation, BCI, epilepsy surgery, coherence analysis, epileptogenicity index, connectivity index

Technology alone is not enough–it’s technology married with liberal arts, married with the humanities, that yields the results that make our hearts sing.

Read More

43-ebooks per second worth of icEEG

We have 161428000/6= 24918250 etext/sec of data. Let's divide that by the average number of letters per word: 5.75 = 4333609 individual words. This is where things start to get a little bit even more enjoyable. A typical ebook with 100,000 words, which implies that the EEG readings were taken from only 5-10% of the brain's surface, produces the equivalent of 43 average ebooks per second of abstract voltage data... amazing.

Read More