Publications
2015
Daly, Ian; Billinger, Martin; Scherer, Reinhold; Müller-Putz, Gernot
FORCe: Fully Online and automated artifact Removal for brain-Computer interfacing Journal Article
In: IEEE in Transactions on Neural Systems & Rehabilitation Engineering, vol. 23, no. 5, pp. 725-736, 2015.
Abstract | Links | BibTeX | Tags: Artefact removal, BCI, EEG, ICA, Tools, Wavelets
@article{Daly2014a,
title = {FORCe: Fully Online and automated artifact Removal for brain-Computer interfacing},
author = {Ian Daly and Martin Billinger and Reinhold Scherer and Gernot Müller-Putz},
url = {http://www.iandaly.co.uk/wp-content/uploads/2016/01/FORCe-fully-online-and-automated-artifact-removal-for-brain-computer-interfacing.pdf},
doi = {10.1109/TNSRE.2014.2346621},
year = {2015},
date = {2015-09-01},
journal = {IEEE in Transactions on Neural Systems & Rehabilitation Engineering},
volume = {23},
number = {5},
pages = {725-736},
abstract = {A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing (BCI). The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able to operate on a small channel set during online EEG acquisition and does not require additional signals (e.g., electrooculogram signals). Evaluation of FORCe is performed offline on EEG recorded from 13 BCI particpants with cerebral palsy (CP) and online with three healthy participants. The method outperforms the state-of the-art automated artifact removal methods Lagged Auto-Mutual Information Clustering (LAMIC) and Fully Automated Statistical Thresholding for EEG artifact Rejection (FASTER), and is able to remove a wide range of artifact types including blink, electromyogram (EMG), and electrooculogram (EOG) artifacts.},
keywords = {Artefact removal, BCI, EEG, ICA, Tools, Wavelets},
pubstate = {published},
tppubtype = {article}
}
A fully automated and online artifact removal method for the electroencephalogram (EEG) is developed for use in brain-computer interfacing (BCI). The method (FORCe) is based upon a novel combination of wavelet decomposition, independent component analysis, and thresholding. FORCe is able to operate on a small channel set during online EEG acquisition and does not require additional signals (e.g., electrooculogram signals). Evaluation of FORCe is performed offline on EEG recorded from 13 BCI particpants with cerebral palsy (CP) and online with three healthy participants. The method outperforms the state-of the-art automated artifact removal methods Lagged Auto-Mutual Information Clustering (LAMIC) and Fully Automated Statistical Thresholding for EEG artifact Rejection (FASTER), and is able to remove a wide range of artifact types including blink, electromyogram (EMG), and electrooculogram (EOG) artifacts.
2013
Daly, Ian; Aloise, Fabio; Arico, Pietro; Belda, Juan; Billinger, Martin; Bolinger, Elizabeth; Cincotti, Febo; Hettich, Dirk; Iosa, Marco; Laparra-Hernandez, Jose; Scherer, Reinhold; Müller-Putz, Gernot
Rapid prototyping for hBCI users with Cerebral palsy Conference
Proceedings of BCI meeting 2013, 2013.
BibTeX | Tags: Cerebral palsy, ERD, Hybrid BCI, Tools
@conference{Daly2013BCImtg,
title = {Rapid prototyping for hBCI users with Cerebral palsy},
author = {Ian Daly and Fabio Aloise and Pietro Arico and Juan Belda and Martin Billinger and Elizabeth Bolinger and Febo Cincotti and Dirk Hettich and Marco Iosa and Jose Laparra-Hernandez and Reinhold Scherer and Gernot Müller-Putz},
year = {2013},
date = {2013-09-01},
booktitle = {Proceedings of BCI meeting 2013},
keywords = {Cerebral palsy, ERD, Hybrid BCI, Tools},
pubstate = {published},
tppubtype = {conference}
}
Daly, Ian; Billinger, Martin; Scherer, Reinhold; Muller-Putz, Gernot
Brain-computer interfacing for users with Cerebral palsy, challenges and opportunities Conference
Lecture notes in computer science, 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013, Proceedings, Part I, Springer, 2013, ISBN: 978-3-642-39187-3.
Abstract | Links | BibTeX | Tags: BCI, Cerebral palsy, ERD, ERP, SVEP, Tools
@conference{Daly2013HCI,
title = {Brain-computer interfacing for users with Cerebral palsy, challenges and opportunities},
author = {Ian Daly and Martin Billinger and Reinhold Scherer and Gernot Muller-Putz},
url = {http://www.iandaly.co.uk/wp-content/uploads/2016/01/draft_1-1.pdf},
doi = {10.1007/978-3-642-39188-0_67},
isbn = {978-3-642-39187-3},
year = {2013},
date = {2013-07-21},
booktitle = {Lecture notes in computer science, 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Las Vegas, NV, USA, July 21-26, 2013, Proceedings, Part I},
journal = {Lecture notes in computer science},
pages = {623-632},
publisher = {Springer},
abstract = {It has been proposed that hybrid Brain-computer interfaces (hBCIs) could benefit individuals with Cerebral palsy (CP). To this end we review the results of two BCI studies undertaken with a total of 20 individuals with CP to determine if individuals in this user group can achieve BCI control.
Large performance differences are found between individuals. These are investigated to determine their possible causes. Differences in subject characteristics are observed to significantly relate to BCI performance accuracy. Additionally, significant relationships are also found between some subject characteristics and EEG components that are important for BCI control. Therefore, it is suggested that knowledge of individual users may guide development towards overcoming the challenges involved in providing BCIs that work well for individuals with CP.},
keywords = {BCI, Cerebral palsy, ERD, ERP, SVEP, Tools},
pubstate = {published},
tppubtype = {conference}
}
It has been proposed that hybrid Brain-computer interfaces (hBCIs) could benefit individuals with Cerebral palsy (CP). To this end we review the results of two BCI studies undertaken with a total of 20 individuals with CP to determine if individuals in this user group can achieve BCI control.
Large performance differences are found between individuals. These are investigated to determine their possible causes. Differences in subject characteristics are observed to significantly relate to BCI performance accuracy. Additionally, significant relationships are also found between some subject characteristics and EEG components that are important for BCI control. Therefore, it is suggested that knowledge of individual users may guide development towards overcoming the challenges involved in providing BCIs that work well for individuals with CP.
Large performance differences are found between individuals. These are investigated to determine their possible causes. Differences in subject characteristics are observed to significantly relate to BCI performance accuracy. Additionally, significant relationships are also found between some subject characteristics and EEG components that are important for BCI control. Therefore, it is suggested that knowledge of individual users may guide development towards overcoming the challenges involved in providing BCIs that work well for individuals with CP.
2012
Breitwieser, Christian; Daly, Ian; Neuper, Christa; Muller-Putz, Gernot R.
Proposing a Standardized Protocol for Raw Biosignal Transmission Journal Article
In: IEEE Transactions on Biomedical Engineering, vol. 59, no. 3, pp. 852-859, 2012.
Abstract | Links | BibTeX | Tags: BCI, Protocol, TiA, TOBI, Tools
@article{Breitwieser2011b,
title = {Proposing a Standardized Protocol for Raw Biosignal Transmission},
author = {Christian Breitwieser and Ian Daly and Christa Neuper and Gernot R. Muller-Putz},
url = {http://www.ncbi.nlm.nih.gov/pubmed/22194230},
doi = {10.1109/TBME.2011.2174637},
year = {2012},
date = {2012-03-01},
journal = {IEEE Transactions on Biomedical Engineering},
volume = {59},
number = {3},
pages = {852-859},
abstract = {In this paper, we propose a standardized interface called TiA (TOBI interface A) to transmit raw biosignals, supporting multirate and block-oriented transmission of different kinds of signals from various acquisition devices (e.g., EEG, electrooculogram, near-infrared spectroscopy signals, etc.) at the same time. To facilitate a distinction between those kinds of signals, so-called signal types are introduced. TiA is a single-server, multiple-client system, whereby clients can connect to the server at runtime. Information transfer between client and server is divided into control and data connections. The control connections use transmission control protocol (TCP) and transmit extensible-markup-language (XML)-encoded meta information. The data transmission utilizes a user datagram protocol (UDP) or TCP with a binary data stream. A standardized handshaking procedure for the connection setup and a standardized binary data packet has been defined. Thus, a standardized layer, abstracting used hardware devices and facilitating distributed raw data transmission in a standardized way, has been evolved. A cross-platform library, implemented in C ++, is available for download.},
keywords = {BCI, Protocol, TiA, TOBI, Tools},
pubstate = {published},
tppubtype = {article}
}
In this paper, we propose a standardized interface called TiA (TOBI interface A) to transmit raw biosignals, supporting multirate and block-oriented transmission of different kinds of signals from various acquisition devices (e.g., EEG, electrooculogram, near-infrared spectroscopy signals, etc.) at the same time. To facilitate a distinction between those kinds of signals, so-called signal types are introduced. TiA is a single-server, multiple-client system, whereby clients can connect to the server at runtime. Information transfer between client and server is divided into control and data connections. The control connections use transmission control protocol (TCP) and transmit extensible-markup-language (XML)-encoded meta information. The data transmission utilizes a user datagram protocol (UDP) or TCP with a binary data stream. A standardized handshaking procedure for the connection setup and a standardized binary data packet has been defined. Thus, a standardized layer, abstracting used hardware devices and facilitating distributed raw data transmission in a standardized way, has been evolved. A cross-platform library, implemented in C ++, is available for download.