Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach

Cristina Leza; Sadasivan Puthusserypady

Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach

Cristina Leza
, Sadasivan Puthusserypady

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Brain Computer Interfaces (BCIs) use brain signals to communicate with the external world. The main challenges to address are speed, accuracy and adaptability. Here, a novel algorithm for P300 based BCI spelling system is presented, speciﬁcally suited for single-trial detection of EventRelated Potentials (ERPs) by combining spatial ﬁltering and new feature extraction methods. The adaptive spatial ﬁltering technique, axDAWN, removes the need for calibration of the system thereby improving the overall speed of the system. Besides, axDAWN enhances the P300 response to target stimuli. The wavelet decomposition and entropy of the recorded ERPs are shown to be correlated with the presence of the P300 responses. The proposed scheme is validated thoroughly in a P300 speller and provides a solution to achieve high accuracy results for single-trial detection of ERPs, being the system user independent.

Original language	English
Title of host publication	Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher	IEEE
Publication date	2017
Pages	2243-2246
ISBN (Print)	978-1-5090-2809-2
Publication status	Published - 2017
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - International Convention Center, Jeju Island, Jeju, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017 Conference number: 39

Conference

Conference	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	39
Location	International Convention Center, Jeju Island
Country/Territory	Korea, Republic of
City	Jeju
Period	11/07/2017 → 15/07/2017

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@inproceedings{ae31898bf5814147838909661aac5644,

title = "Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach",

abstract = "Brain Computer Interfaces (BCIs) use brain signals to communicate with the external world. The main challenges to address are speed, accuracy and adaptability. Here, a novel algorithm for P300 based BCI spelling system is presented, speciﬁcally suited for single-trial detection of EventRelated Potentials (ERPs) by combining spatial ﬁltering and new feature extraction methods. The adaptive spatial ﬁltering technique, axDAWN, removes the need for calibration of the system thereby improving the overall speed of the system. Besides, axDAWN enhances the P300 response to target stimuli. The wavelet decomposition and entropy of the recorded ERPs are shown to be correlated with the presence of the P300 responses. The proposed scheme is validated thoroughly in a P300 speller and provides a solution to achieve high accuracy results for single-trial detection of ERPs, being the system user independent.",

author = "Cristina Leza and Sadasivan Puthusserypady",

year = "2017",

language = "English",

isbn = "978-1-5090-2809-2",

pages = "2243--2246",

booktitle = "Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",

}

Leza, C & Puthusserypady, S 2017, Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach. in Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, pp. 2243-2246, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju, Korea, Republic of, 11/07/2017.

Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach. / Leza, Cristina; Puthusserypady, Sadasivan.
Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2017. p. 2243-2246.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach

AU - Leza, Cristina

AU - Puthusserypady, Sadasivan

N1 - Conference code: 39

PY - 2017

Y1 - 2017

N2 - Brain Computer Interfaces (BCIs) use brain signals to communicate with the external world. The main challenges to address are speed, accuracy and adaptability. Here, a novel algorithm for P300 based BCI spelling system is presented, speciﬁcally suited for single-trial detection of EventRelated Potentials (ERPs) by combining spatial ﬁltering and new feature extraction methods. The adaptive spatial ﬁltering technique, axDAWN, removes the need for calibration of the system thereby improving the overall speed of the system. Besides, axDAWN enhances the P300 response to target stimuli. The wavelet decomposition and entropy of the recorded ERPs are shown to be correlated with the presence of the P300 responses. The proposed scheme is validated thoroughly in a P300 speller and provides a solution to achieve high accuracy results for single-trial detection of ERPs, being the system user independent.

AB - Brain Computer Interfaces (BCIs) use brain signals to communicate with the external world. The main challenges to address are speed, accuracy and adaptability. Here, a novel algorithm for P300 based BCI spelling system is presented, speciﬁcally suited for single-trial detection of EventRelated Potentials (ERPs) by combining spatial ﬁltering and new feature extraction methods. The adaptive spatial ﬁltering technique, axDAWN, removes the need for calibration of the system thereby improving the overall speed of the system. Besides, axDAWN enhances the P300 response to target stimuli. The wavelet decomposition and entropy of the recorded ERPs are shown to be correlated with the presence of the P300 responses. The proposed scheme is validated thoroughly in a P300 speller and provides a solution to achieve high accuracy results for single-trial detection of ERPs, being the system user independent.

M3 - Article in proceedings

SN - 978-1-5090-2809-2

SP - 2243

EP - 2246

BT - Proceedings of 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - IEEE

T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 11 July 2017 through 15 July 2017

ER -

Detection of User Independent Single Trial ERPs in Brain Computer Interfaces: An Adaptive Spatial Filtering Approach

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