Intracranial Neuro Telemetry to Restore Communication

Informazioni relative al progetto

INTRECOM

ID dell’accordo di sovvenzione: 101070939

DOI

10.3030/101070939

Data della firma CE 29 Giugno 2022

Data di avvio 1 Dicembre 2022

Data di completamento 30 Novembre 2027

Finanziato da

• The European Innovation Council (EIC)

Costo totale

€ 3 997 917,25

Contributo UE

€ 3 997 917,00

Coordinato da

UNIVERSITAIR MEDISCH CENTRUM UTRECHT
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

DCEP

Initial plan for dissemination & exploitation, including communication activities

RP2 - DCEP

Updated plan for dissemination & exploitation, including communication activities.

Midterm recruitment report
Study initiation package

Other (5)

NeuroKey INTRECOM first release

NeuroKey INTRECOM first release including compatibility with ECoG high-channel-count devices and simulated streaming from ECoG recordings

Infrastructure for data transfer, storage, and access in accordance with the DMP
NeuroKey INTRECOM second release

NeuroKey INTRECOM second release including novel functionalities to compute patterns for the brain-to speech-AI algorithm and automatic recordings update to the project server

Speech decoding algorithms

Speech decoding algorithms (T5.3, T5.4, T5.5) to be updated every 12 months (M12, M24, M36, M48).

Movement decoding algorithms

Movement detection algorithms (T5.1 and T5.2) to be updated every 12 months (M12, M24, M36, M48)

Data Management Plan (2)

DMP
Update of DMP – RP2

Second update of the Data Management Plan.

Websites, patent fillings, videos etc. (1)

Website and project logo

Pubblicazioni

Peer reviewed articles (5)

Motor-Related EEG Analysis Using a Pole Tracking Approach

Autori: Kyriaki Kostoglou, Gernot R. Müller-Putz
Pubblicato in: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Numero 32, 2024, ISSN 1534-4320
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TNSRE.2024.3483294

EEG Analyses of visual cue effects on executed movements

Autori: Patrick Suwandjieff, Gernot R. Müller-Putz
Pubblicato in: Journal of Neuroscience Methods, Numero 410, 2025, ISSN 0165-0270
Editore: Elsevier BV
DOI: 10.1016/J.JNEUMETH.2024.110241

Handwritten character classification from EEG through continuous kinematic decoding

Autori: Markus R. Crell, Gernot R. Müller-Putz
Pubblicato in: Computers in Biology and Medicine, Numero 182, 2025, ISSN 0010-4825
Editore: Elsevier BV
DOI: 10.1016/J.COMPBIOMED.2024.109132

Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients. An introduction to INTRECOM

Autori: Müller-Putz G, Crell MR, Egger J, Suwandjieff P, Kostoglou K
Pubblicato in: Current Directions in Biomedical Engineering, Numero 2, 2023, ISSN 2364-5504
Editore: Walter de Gruyter
DOI: 10.1515/cdbme-2023-1201

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models

Autori: Julia Berezutskaya, Zachary V Freudenburg, Mariska J Vansteensel, Erik J Aarnoutse, Nick F Ramsey, Marcel A J van Gerven
Pubblicato in: Journal of Neural Engineering, Numero 20, 2023, ISSN 1741-2560
Editore: IOP Publishing
DOI: 10.1088/1741-2552/ACE8BE

Conference proceedings (4)

Detection of motion termination from EEG during the execution of continuous hand movement

Autori: Markus Rudolf Crell, Gernot Müller-Putz
Editore: 9th Graz BCI Conference 2024
DOI: 10.3217/978-3-99161-014-4-025

Investigating temporal variations in MRCPs and their influence on classification: A 10-hour EEG study

Autori: J. Egger , K. Kostoglou , G. R. Müller-Putz
Editore: 9th Graz Brain-Computer Interface Conference 2024
DOI: 10.3217/978-3-99161-014-4-002

High-performance neural decoding of 14 Dutch keywords

Autori: Elena C. Offenberg , Julia Berezutskaya , Zachary V. Freudenburg and Nick Ramsey
Editore: 9th Graz Brain-Computer Interface Conference 2024
DOI: 10.3217/978-3-99161-014-4-011

From cue-based to self-paced movement detection: Influence of the cue on training data

Autori: Patrick Suwandjieff, Gernot Müller-Putz
Editore: 9th Graz BCI Conference 2024
DOI: 10.3217/978-3-99161-014-4-094