Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies
We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolutio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Behavioural Neurology |
| Online Access: | http://dx.doi.org/10.1155/2018/4638903 |
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| _version_ | 1832560160378191872 |
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| author | Paul Bosch Mauricio Herrera Julio López Sebastián Maldonado |
| author_facet | Paul Bosch Mauricio Herrera Julio López Sebastián Maldonado |
| author_sort | Paul Bosch |
| collection | DOAJ |
| description | We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. A binary classification problem was constructed using correlations and phase synchronization between different electroencephalographic channels as characteristics and, as labels or classes, the math performances of individuals participating in specially designed experiments. The proposed methodology is based on using well-established procedures of feature selection, which were used to determine a suitable brain functional network size related to math problem solving strategies and also to discover the most relevant links in this network without including noisy connections or excluding significant connections. |
| format | Article |
| id | doaj-art-18d0b32dabfb462491bd0e0582205408 |
| institution | Kabale University |
| issn | 0953-4180 1875-8584 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Behavioural Neurology |
| spelling | doaj-art-18d0b32dabfb462491bd0e05822054082025-02-03T01:28:14ZengWileyBehavioural Neurology0953-41801875-85842018-01-01201810.1155/2018/46389034638903Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving StrategiesPaul Bosch0Mauricio Herrera1Julio López2Sebastián Maldonado3Facultad de Ingeníera, Universidad del Desarrollo, Av. Plaza 700, Las Condes, Santiago, ChileFacultad de Ingeníera, Universidad del Desarrollo, Av. Plaza 700, Las Condes, Santiago, ChileFacultad de Ingeniería y Ciencias, Universidad Diego Portales, Ejército 441, Santiago, ChileFacultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Monseñor Álvaro del Portillo 12455, Las Condes, Santiago, ChileWe have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. A binary classification problem was constructed using correlations and phase synchronization between different electroencephalographic channels as characteristics and, as labels or classes, the math performances of individuals participating in specially designed experiments. The proposed methodology is based on using well-established procedures of feature selection, which were used to determine a suitable brain functional network size related to math problem solving strategies and also to discover the most relevant links in this network without including noisy connections or excluding significant connections.http://dx.doi.org/10.1155/2018/4638903 |
| spellingShingle | Paul Bosch Mauricio Herrera Julio López Sebastián Maldonado Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies Behavioural Neurology |
| title | Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies |
| title_full | Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies |
| title_fullStr | Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies |
| title_full_unstemmed | Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies |
| title_short | Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies |
| title_sort | mining eeg with svm for understanding cognitive underpinnings of math problem solving strategies |
| url | http://dx.doi.org/10.1155/2018/4638903 |
| work_keys_str_mv | AT paulbosch miningeegwithsvmforunderstandingcognitiveunderpinningsofmathproblemsolvingstrategies AT mauricioherrera miningeegwithsvmforunderstandingcognitiveunderpinningsofmathproblemsolvingstrategies AT juliolopez miningeegwithsvmforunderstandingcognitiveunderpinningsofmathproblemsolvingstrategies AT sebastianmaldonado miningeegwithsvmforunderstandingcognitiveunderpinningsofmathproblemsolvingstrategies |