Hi Its great to see that NuPIC community is now involved actively in pursuing seizure detection and there is sufficient interest. Thank you Matt for organizing this talk in the Hackathon and hope you all found it intriguing too.
I have been studying more on the subject and have also made submission trying out different techniques. So far I have reached a score of 0.7 but traditional approaches don't seem to be helping me anymore. Let me know if someone would like to discus more on this. I loved the talk and here are a few things that I found particularly interesting. It is known that artifacts like muscle or eye movement have been known to mess up the EEG recording and has been a problem with BCI as well. The fact that 80% of EEG recordings of epilepsy patients is normal was new. I did not know that and it is interesting to think how we can overcome this constraint. Another thing was the mention of Deep Brain Simulators(DBS). These are electrodes that are implanted to overcome seizure by providing electrical impulses. Now when I read about them earlier, there was a skepticism surrounding their efficiency. Sure they have been shown to be helpful but to what extent, it cannot be determined. This has mainly been because of poor seizure detectors. The problem is if you provide the impulse and you claim that the seizure has stopped because of it, you need to be 100% sure in the first step itself that a seizure was about to occur. And since the seizure did not occur, you cannot be sure if it was a false positive or if it was because of DBS. One more thing that I have noticed is that neurologists mainly observer scalp EEG signals unlike the intracranial signals provided in the competition. Physicians and surgeon, I have observed, have developed an intuitive understanding of when seizure has occurred or maybe is about to occur. This is what they have learned from their years of experience and the surrounding data like ECG, physical condition, etc. are also helpful. Because of this they find it very difficult to explain if you ask them just on the basis of EEG hoe to detect seizures. Also intracranial is only recorded when the patient is undergoing surgery and they already have spit open his brain. This has been a bottle neck because there is only a small duration of recording you can make in the first place and even fewer duration of seizure clips occur. This is evident in the competition data. *Regards,* *Anubhav Chaturvedi* *Birla Institute of Technology & Science, Pilani* KK Birla Goa Campus On Wed, Oct 22, 2014 at 9:44 AM, Matthew Taylor <[email protected]> wrote: > Hideaki, > > You'll probably really enjoy one of the hack demos I'll be publishing > soon. I won't spoil the surprise, but it involves EEG mind control. ;) > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Tue, Oct 21, 2014 at 8:39 PM, Hideaki Suzuki <[email protected]> > wrote: > > Hi Matt, > > > > Thank you for sharing the interesting video!! > > > > I also watched the hackathon raw, and I was very impressed that many > people > > were now interested in reading EEG by HTM. (in addition to those fun > staff > > like MindCraft ;-) > > > > I recently read the below article and would like to share. This is also > a > > good short article about EEG(actually ECG) and remote-controlling a robot > > limb (IEEE spectrum), using the data collected from seizure patients. > > > > > http://online.qmags.com/IEEESM12819043?sessionID=BC9E010ABEF488AB56FC61EE2&cid=1010491&eid=19043#pg39&mode2 > > > > Regards, > > Hideaki Suzuki. > >
