Forum for Science, Industry and Business

Sponsored by:     3M 
Search our Site:

 

Research project analyses cerebral bioelectricity in order to detect epilepsy

19.07.2010
A group of researchers from Universidad Carlos III de Madrid (UC3M) has presented a new algorithm that uses a new method to analyse the information obtained from electroencephalograms to detect neurodegenerative diseases, such as epilepsy, using the bioelectric signals of the brain.

The research project is a joint effort among engineers and doctors from UC3M, the Clínica Universitaria de Navarra and Universidad Pública de Navarra. It began as a collaborative project designed to discover and interpret bioelectric phenomenon originating in the cerebral cortex.

The objective of this research was to apply these studies to the analysis of different pathologies such as Parkinson’s disease, Alzheimer or epilepsy. Electroencephalography was used as a means of obtaining cerebral signals. This technique uses electrodes placed on the surface of the scalp to perform a test that measures and records the electrical activity generated in the brain.

The first results recorded by the scientists were promising and showed a need to reduce the amount of information obtained from electroencephalograms due to the fact that the analysis of all the data requires a great deal of time and large processing capacity. In order to achieve this aim more efficiently, the scientists designed an algorithm that allows them to extract the most relevant characteristics of the signals associated with epilepsy. Thus, they are able to detect and classify more quickly epileptic seizures as well as determine which parts or areas of the brain are affected the most.
“The advantage of this method is that it allows us to detect, classify or identify neurological diseases with a small amount of information” says Carlos Guerrero Mosquera, one of the researchers from the Department of Signal and Communications Theory (Departamento de Teoría de la Señal y Comunicaciones) at UC3M. He adds, “Electroencephalograms contain a lot of information and what we are looking for is to try to improve the efficiency of the tasks carried out by analysing small amounts of information through the use of the most important data received from the signals.”

Presentation to the public

This new method, published recently in the journal Medical & Biological Engineering & Computing, has been compared to other techniques and the results of this analysis will be presented at the International Conference of the IEEE Engineering in Medicine and Biology Society. This event, which is one of the most important biomedical engineering conferences, will take place in Buenos Aires (Argentina) from the 31st August until 4th September. In general terms, this method can be divided into four fundamental processes: the acquisition of a signal through the use of electroencephalography, cleaning or pre-processing of the signal in order to eliminate noise and the extraction/selection of characteristics depending on how the information will be used. “The detection of data should follow a linear procedure but for the moment, we use databases”, Carlos Guerrero points out. “At a later date, when the application shows positive results, we will try to reduce processing costs by the selection of specific characteristics.”

The researchers explain that this method extracts information about the time and frequency pattern of the signal in a new and simple way. This makes it easier to detect and classify segments with epilepsy and opens up the possibility of applying the algorithm to other pathologies. “Initially this method was developed to classify and detect epileptic seizures, but in the future we wish to apply it to other neurodegenerative diseases such as Parkinson’s, Alzheimer or the analysis of different sleep disorders,” Guerrero explains.

Further information:
Title: New feature extraction approach for epileptic EEG signal detection using time-frequency distributions
Authors: Carlos Guerrero Mosquera, Armando Malanda Trigueros, Jorge Iriarte Franco,
Ángel Navia Vázquez.
Source: Medical & Biological Engineering & Computing.
Volume: 48 Number: 4 Pages: 321-330 Published: april 2010

Ana Herrera | EurekAlert!
Further information:
http://www.uc3m.es

More articles from Health and Medicine:

nachricht 'Living bandages': NUST MISIS scientists develop biocompatible anti-burn nanofibers
16.02.2018 | National University of Science and Technology MISIS

nachricht New process allows tailor-made malaria research
16.02.2018 | Eberhard Karls Universität Tübingen

All articles from Health and Medicine >>>

The most recent press releases about innovation >>>

Die letzten 5 Focus-News des innovations-reports im Überblick:

Im Focus: Demonstration of a single molecule piezoelectric effect

Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale

Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...

Im Focus: Hybrid optics bring color imaging using ultrathin metalenses into focus

For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.

But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...

Im Focus: Stem cell divisions in the adult brain seen for the first time

Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.

The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...

Im Focus: Interference as a new method for cooling quantum devices

Theoretical physicists propose to use negative interference to control heat flow in quantum devices. Study published in Physical Review Letters

Quantum computer parts are sensitive and need to be cooled to very low temperatures. Their tiny size makes them particularly susceptible to a temperature...

Im Focus: Autonomous 3D scanner supports individual manufacturing processes

Let’s say the armrest is broken in your vintage car. As things stand, you would need a lot of luck and persistence to find the right spare part. But in the world of Industrie 4.0 and production with batch sizes of one, you can simply scan the armrest and print it out. This is made possible by the first ever 3D scanner capable of working autonomously and in real time. The autonomous scanning system will be on display at the Hannover Messe Preview on February 6 and at the Hannover Messe proper from April 23 to 27, 2018 (Hall 6, Booth A30).

Part of the charm of vintage cars is that they stopped making them long ago, so it is special when you do see one out on the roads. If something breaks or...

All Focus news of the innovation-report >>>

Anzeige

Anzeige

VideoLinks
Industry & Economy
Event News

2nd International Conference on High Temperature Shape Memory Alloys (HTSMAs)

15.02.2018 | Event News

Aachen DC Grid Summit 2018

13.02.2018 | Event News

How Global Climate Policy Can Learn from the Energy Transition

12.02.2018 | Event News

 
Latest News

Fingerprints of quantum entanglement

16.02.2018 | Information Technology

'Living bandages': NUST MISIS scientists develop biocompatible anti-burn nanofibers

16.02.2018 | Health and Medicine

Hubble sees Neptune's mysterious shrinking storm

16.02.2018 | Physics and Astronomy

VideoLinks
Science & Research
Overview of more VideoLinks >>>