http://www.xconomy.com/seattle/2008/07/28/neurovista-emerging-from-stealth-mode-unveils-technology-to-predict-epileptic-seizures/ Business + Technology in the Exponential Economy Sat, 21 Nov 2009 22:30:41 -0600 http://wordpress.org/?v=2.8.6 hourly 1 http://www.xconomy.com/seattle/2008/07/28/neurovista-emerging-from-stealth-mode-unveils-technology-to-predict-epileptic-seizures/comment-page-1/#comment-59785 Нейрокодирование - Новости НС с kurzweilai.net Sat, 23 May 2009 11:01:26 +0000 http://www.xconomy.com/?p=3572#comment-59785 [...] headaches or severe depression. The company plans its first feasibility clinical trial in 2009. Оригинал Недостатки, описанные в комментариях к статье: [...] [...] headaches or severe depression. The company plans its first feasibility clinical trial in 2009. Оригинал Недостатки, описанные в комментариях к статье: [...]

]]> http://www.xconomy.com/seattle/2008/07/28/neurovista-emerging-from-stealth-mode-unveils-technology-to-predict-epileptic-seizures/comment-page-1/#comment-24598 Stewart Lyman Mon, 28 Jul 2008 18:41:02 +0000 http://www.xconomy.com/?p=3572#comment-24598 I saw a presentation on this last year and saw one big problem with this approach. I don't recall all of the details, but as I remember it, in order to collect the EEG data from their subjects with epilepsy, they need to heavily sedate or drug them. It was this data, collected when they are drugged, that was used to derive the algorithms that are supposed to predict the coming attacks. The big question I had was whether or not the data collected when the subjects are drugged accurately mimics what happens in the brain of a real (i.e. non-drugged) epileptic when they are about to have a seizure. If this is not the case, then their algorithms will not be useful in predicting seizures, and the technology will fail. Without this "proof of principle" piece of data I would have concerns about investing in this technology. Please post a correction if I misunderstood this, or if this basic premise has somehow changed since I heard the presentation in 2007. Stewart Lyman, Lyman BioPharma Consulting I saw a presentation on this last year and saw one big problem with this approach. I don’t recall all of the details, but as I remember it, in order to collect the EEG data from their subjects with epilepsy, they need to heavily sedate or drug them. It was this data, collected when they are drugged, that was used to derive the algorithms that are supposed to predict the coming attacks. The big question I had was whether or not the data collected when the subjects are drugged accurately mimics what happens in the brain of a real (i.e. non-drugged) epileptic when they are about to have a seizure. If this is not the case, then their algorithms will not be useful in predicting seizures, and the technology will fail. Without this “proof of principle” piece of data I would have concerns about investing in this technology. Please post a correction if I misunderstood this, or if this basic premise has somehow changed since I heard the presentation in 2007. Stewart Lyman, Lyman BioPharma Consulting

]]> http://www.xconomy.com/seattle/2008/07/28/neurovista-emerging-from-stealth-mode-unveils-technology-to-predict-epileptic-seizures/comment-page-1/#comment-24597 Nick Mon, 28 Jul 2008 18:30:06 +0000 http://www.xconomy.com/?p=3572#comment-24597 Most likely they're looking at using global dimensional complexity calculations of the EEGs that will give a 15-20 minute warning before onset of a seizure. Or that's my best guess anyway. Most likely they’re looking at using global dimensional complexity calculations of the EEGs that will give a 15-20 minute warning before onset of a seizure. Or that’s my best guess anyway.

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