Design and development of a musical tone detection and identification system in brain wave signals
Electroencephalogram (EEG) is one of the electrophysiological signals that possesses a high level of randomness and complexity. EEG signals are the electrical activities of the brain which reflect the different activities going on inside a human body. These signals can be stimulated.In this study, E...
Saved in:
Main Author: | Navea, Roy Francis R. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2017
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_doctoral/576 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Selection of learning algorithm for musical tone stimulated wavelet de-noised EEG signal classification
by: Navea, Roy Francis R., et al.
Published: (2017) -
Comparison of different algorithms and processing techniques for time series classification of academic emotions using EEG data
by: Salceda, Juan Francesco C.
Published: (2022) -
Classification of wavelet-denoised musical tone stimulated EEG signals using artificial neural networks
by: Navea, Roy Francis R., et al.
Published: (2017) -
An emotion model for music using brain waves
by: Cabredo, Rafael A., et al.
Published: (2012) -
Beta/alpha power ratio and alpha asymmetry characterization of EEG signals due to musical tone stimulation
by: Noscal, Maria Michaela M.
Published: (2016)