Electroencephalogram (EEG) human stress level classification based on theta/beta ratio

• Main Authors: Tee, Yi Wen, Bani, Nurul Aini, Muhammad Sukki, Firdaus, Mohd. Aris, Siti Armiza
• Format: Article
• Language: English
• Published: Penerbit UTHM 2020
• Subjects: T58.5-58.64 Information technology
• Online Access: http://eprints.utm.my/id/eprint/93668/1/SitiArmizaMohd2020_ElectroencephalogramEEGHumanStressLevel.pdf; http://eprints.utm.my/id/eprint/93668/; http://dx.doi.org/10.30880/IJIE.2020.12.06.020

Stress analysis by utilizing electroencephalography (EEG) device in conjunction with signal processing techniques has emerged as an important area of research and the efforts are being made on detecting and classifying stress level. Non-invasive EEG device is used in this study to collect brain sign...