Comparative Analysis of Feature Extraction Methods for Intelligence Estimation Based on Resting State EEG Data †
Abstract
:1. Introduction
2. Theoretical Background
2.1. EEG Signals
2.2. EEG Signal Features
2.3. Amthauer Intelligence Structure Test
- IQ1—completion of sentences, logical thinking, language skills;
- IQ2—word exception, ability to abstract;
- IQ3—verbal analogies, combinatorial abilities;
- IQ4—conceptualization, ability for abstract verbal thinking;
- IQ5—calculations, mathematical abilities;
- IQ6—number series completion, ability to operate with numbers and inductive thinking;
- IQ7—figure detecting, combinatorial abilities;
- IQ8—identification of cubes, spatial imagination;
- IQ9—remembering words, ability for short-term storage of information.
3. Materials and Methods
3.1. Principal Component Regression
3.2. Data Description and Model Structure
4. Results
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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IQ Component | The p-Value |
---|---|
IQ2 | 0.0354 |
IQ3 | 0.5860 |
IQ7 | 0.4334 |
IQ8 | 0.6945 |
IQ Component | Single-Channel | Multi-Channel |
---|---|---|
IQ2 | 5.663 (0.065) | 5.902 (0.128) |
IQ3 | 7.763 (0.078) | 7.989 (0.153) |
IQ7 | 6.860 (0.071) | 6.588 (0.135) |
IQ8 | 7.809 (0.089) | 7.657 (0.165) |
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Avdeenko, T.; Timofeeva, A.; Murtazina, M. Comparative Analysis of Feature Extraction Methods for Intelligence Estimation Based on Resting State EEG Data. Eng. Proc. 2023, 33, 25. https://doi.org/10.3390/engproc2023033025
Avdeenko T, Timofeeva A, Murtazina M. Comparative Analysis of Feature Extraction Methods for Intelligence Estimation Based on Resting State EEG Data. Engineering Proceedings. 2023; 33(1):25. https://doi.org/10.3390/engproc2023033025
Chicago/Turabian StyleAvdeenko, Tatiana, Anastasiia Timofeeva, and Marina Murtazina. 2023. "Comparative Analysis of Feature Extraction Methods for Intelligence Estimation Based on Resting State EEG Data" Engineering Proceedings 33, no. 1: 25. https://doi.org/10.3390/engproc2023033025