Literature DB >> 22194230

Proposing a standardized protocol for raw biosignal transmission.

Christian Breitwieser1, Ian Daly, Christa Neuper, Gernot R Müller-Putz.   

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.

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Mesh:

Year:  2011        PMID: 22194230     DOI: 10.1109/TBME.2011.2174637

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Switching between Manual Control and Brain-Computer Interface Using Long Term and Short Term Quality Measures.

Authors:  Alex Kreilinger; Vera Kaiser; Christian Breitwieser; John Williamson; Christa Neuper; Gernot R Müller-Putz
Journal:  Front Neurosci       Date:  2012-01-18       Impact factor: 4.677

2.  Evaluation of Different EEG Acquisition Systems Concerning Their Suitability for Building a Brain-Computer Interface: Case Studies.

Authors:  Andreas Pinegger; Selina C Wriessnegger; Josef Faller; Gernot R Müller-Putz
Journal:  Front Neurosci       Date:  2016-09-30       Impact factor: 4.677

3.  Composing only by thought: Novel application of the P300 brain-computer interface.

Authors:  Andreas Pinegger; Hannah Hiebel; Selina C Wriessnegger; Gernot R Müller-Putz
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

4.  Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography.

Authors:  Maitreyee Wairagkar; Yoshikatsu Hayashi; Slawomir J Nasuto
Journal:  PLoS One       Date:  2018-03-06       Impact factor: 3.240

5.  A Functional Model for Unifying Brain Computer Interface Terminology.

Authors:  Chuck Easttom; Luigi Bianchi; Davide Valeriani; Chang S Nam; Ali Hossaini; Dariusz Zapala; Avid Roman-Gonzalez; Avinash K Singh; Alberto Antonietti; Guillermo Sahonero-Alvarez; Pradeep Balachandran
Journal:  IEEE Open J Eng Med Biol       Date:  2021-02-05

6.  High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task.

Authors:  Johanna Wagner; Ramon Martinez-Cancino; Arnaud Delorme; Scott Makeig; Teodoro Solis-Escalante; Christa Neuper; Gernot Mueller-Putz
Journal:  Sci Data       Date:  2019-10-17       Impact factor: 6.444

7.  Modeling the Ongoing Dynamics of Short and Long-Range Temporal Correlations in Broadband EEG During Movement.

Authors:  Maitreyee Wairagkar; Yoshikatsu Hayashi; Slawomir J Nasuto
Journal:  Front Syst Neurosci       Date:  2019-11-08
  7 in total

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