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Bimodal electroence...
Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
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- Simistira Liwicki, Foteini (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Gupta, Vibha (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Saini, Rajkumar, Dr. 1988- (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- De, Kanjar (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Abid, Nosheen, 1993- (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Rakesh, Sumit (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Wellington, Scott (author)
- University of Bath, Department of Computer Science, Bath, United Kingdom
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- Wilson, Holly (author)
- University of Bath, Department of Computer Science, Bath, United Kingdom
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- Liwicki, Marcus (author)
- Luleå tekniska universitet,EISLAB,Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Intelligent Systems LAB, Luleå, Sweden
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- Eriksson, Johan (author)
- Umeå universitet,Institutionen för integrativ medicinsk biologi (IMB),Umeå centrum för funktionell hjärnavbildning (UFBI),Umeå University, Department of Integrative Medical Biology (IMB) and Umeå Center for Functional Brain Imaging (UFBI), Umeå, Sweden
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(creator_code:org_t)
- Springer Nature, 2023
- 2023
- English.
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In: Scientific Data. - : Springer Nature. - 2052-4463. ; 10
- Related links:
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
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- The recognition of inner speech, which could give a ‘voice’ to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the available datasets is that they do not combine modalities to increase the performance of inner speech recognition. Multimodal datasets of brain data enable the fusion of neuroimaging modalities with complimentary properties, such as the high spatial resolution of functional magnetic resonance imaging (fMRI) and the temporal resolution of electroencephalography (EEG), and therefore are promising for decoding inner speech. This paper presents the first publicly available bimodal dataset containing EEG and fMRI data acquired nonsimultaneously during inner-speech production. Data were obtained from four healthy, right-handed participants during an inner-speech task with words in either a social or numerical category. Each of the 8-word stimuli were assessed with 40 trials, resulting in 320 trials in each modality for each participant. The aim of this work is to provide a publicly available bimodal dataset on inner speech, contributing towards speech prostheses.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Neurovetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Neurosciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- Maskininlärning
- Machine Learning
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Simistira Liwick ...
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Gupta, Vibha
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Saini, Rajkumar, ...
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De, Kanjar
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Abid, Nosheen, 1 ...
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Rakesh, Sumit
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show more...
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Wellington, Scot ...
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Wilson, Holly
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Liwicki, Marcus
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Eriksson, Johan
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Science ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Vision ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Language Technol ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Basic Medicine
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and Neurosciences
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Medical Engineer ...
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and Medical Image Pr ...
- Articles in the publication
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Scientific Data
- By the university
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Luleå University of Technology
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Umeå University