STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs Article Swipe
Electroencephalogram (EEG) signals play a pivotal role in biomedical research and clinical applications, including epilepsy diagnosis, sleep disorder analysis, and brain-computer interfaces. However, the effective analysis and interpretation of these complex signals often present significant challenges. This paper presents a novel approach that integrates computer graphics techniques with biological signal pattern recognition, specifically using Markov Transfer Fields (MTFs) for EEG time series imaging. The proposed framework (STEAM-EEG) employs the capabilities of MTFs to capture the spatiotemporal dynamics of EEG signals, transforming them into visually informative images. These images are then rendered, visualised, and modelled using state-of-the-art computer graphics techniques, thereby facilitating enhanced data exploration, pattern recognition, and decision-making. The code could be accessed from GitHub.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.32388/whun2i
- OA Status
- gold
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406290591
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406290591Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.32388/whun2iDigital Object Identifier
- Title
-
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-12Full publication date if available
- Authors
-
Jiahao Qin, Feng LiuList of authors in order
- Landing page
-
https://doi.org/10.32388/whun2iPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.32388/whun2iDirect OA link when available
- Concepts
-
Electroencephalography, Artificial intelligence, Computer science, Pattern recognition (psychology), Markov chain, Psychology, Machine learning, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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44Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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