Publication2017
Dimensionality reduction of EEG signal using Fuzzy Discernibility Matrix
- Good Health and Well-being
- Empowered Indians
The record
- Type
- Publication
- Date
- 8 August 2017
- Level
- National
- Journal
- Proceedings 2017 10th International Conference on Human System Interactions Hsi 2017
- Pages
- 131-136
- Published
- 8 August 2017
- DOI
- 10.1109/hsi.2017.8005014
- Scopus ID
- 85030244353
- Authors
- 4
- Open access
- No
- Citations
- 16
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Proposes fuzzy discernibility matrix approach for EEG signal dimensionality reduction with SVM classification, improving brain-computer interface feature extraction from continuous neural signal data for rehabilitation applications.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Proposes fuzzy discernibility matrix approach for EEG signal dimensionality reduction with SVM classification, improving brain-computer interface feature extraction from continuous neural signal data for rehabilitation applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Dimensionality reduction of EEG signal using Fuzzy Discernibility Matrix”. Kortex.