(function(doc, html, url) { var widget = doc.createElement("div"); widget.innerHTML = html; var script = doc.currentScript; // e = a.currentScript; if (!script) { var scripts = doc.scripts; for (var i = 0; i < scripts.length; ++i) { script = scripts[i]; if (script.src && script.src.indexOf(url) != -1) break; } } script.parentElement.replaceChild(widget, script); }(document, '

Prediction of epileptic seizures from brain wave signals with neural networks

What is it about?

A method is proposed to predict epileptic seizures within a 15-minute window before the seizure onset. The prediction takes place by using electrical and optical signals extracted from the brain. The signals are classified with neural networks. The neural network is trained to identify the pre-ictal phase, which is the signal segment that occurs before the actual seizure.

Why is it important?

The application of this work is health care. The implementation of a portable device for seizure prediction will be useful to epileptic patients since this application enhances the quality of life of these patients. Research, related to this problem, is important because it also assists in the understanding of this problem.

Read more on Kudos…
The following have contributed to this page:
Roberto Rosas-Romero
' ,"url"));