Evaluating bad and good EEG segments based on extracted features: towards an automated understanding of infant behavior and attention

• Main Authors: Sharif, Mhd Saeed, Alsibai, Mohammed Hayyan, Kushnerenko, Elena
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2018
• Subjects: T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/20199/1/Evaluating%20Bad%20and%20Good%20EEG%20Segments%20Based%20on%20Extracted%20Features.pdf; http://umpir.ump.edu.my/id/eprint/20199/2/Evaluating%20Bad%20and%20Good%20EEG%20Segments%20Based%20on%20Extracted%20Features.pdf; http://umpir.ump.edu.my/id/eprint/20199/; https://doi.org/10.1109/ICCSCE.2017.8284385

The field of brain computer interference has grown rapidly with the purpose of reading a human’s mind, generating a certain output, controlling objects with this output and having an automated understanding of human reactions and responses to the surrounding environment. Electroencephal...