PTS4DEEG

Accurate EEG source localisation using patient tailored head models

 Coordinatore TECHNISCHE UNIVERSITEIT DELFT 

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 Nazionalità Coordinatore Netherlands [NL]
 Totale costo 160˙559 €
 EC contributo 149˙054 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-PoC
 Funding Scheme CSA-SA(POC)
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-06-01   -   2015-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    STICHTING VU-VUMC

 Organization address address: DE BOELELAAN 1105
city: AMSTERDAM
postcode: 1081 HV

contact info
Nome: Michel
Cognome: Telkamp
Email: send email
Telefono: +31 20 448190

NL (AMSTERDAM) beneficiary 114˙699.88
2    TECHNISCHE UNIVERSITEIT DELFT

 Organization address address: Stevinweg 1
city: DELFT
postcode: 2628 CN

contact info
Titolo: Ms.
Nome: Lily
Cognome: Tunggal
Email: send email
Telefono: +31 152788684

NL (DELFT) hostInstitution 34˙354.12

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us    head    time    patients    stroke    clinical    eeg    model   

 Obiettivo del progetto (Objective)

'EEG records electric potential differences from electrodes attached to the human skin. Although multi-channel EEG can be used to localize its underlying sources, clinical application of this technique in, e.g. epilepsy and stroke monitoring, requires long preparation time to acquire electrode position and head shape and is also hampered by the poor knowledge of in vivo skull conductivity. In the ERC advanced project associated to this PoC proposal a large longitudinal EEG study is performed in stroke patients, which inspired us to find a method for deriving a tailored EEG-head model without the above inconveniences. The tailored EEG-head model will require only a limited recording time. This will enable us to accurately calculate the active brain areas also in patients which can only participate for a short time in experiments. It will be an important step to use high density EEG technology for clinical applications. We foresee that the prototype delivered by the end of the project can be developed into a commercial accessory EEG device that can be provided to end users for relatively small add-on price.'

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