iCap : new method for noise reduction in electroencephalography (EEG) signals
Joint Authors
Di Iorio, Angelo
Scalise, Lorenzo
Amashah, Hani Muhammad
al-Arja, Ali
Matuq, Sarah
Abu al-Dhahab, Mamun
Apollonio, Luca
Gravina, Alessandro
Antognoli, Luca
al-Shalak, Muadh
al-Qudsi, Ula
al-Jalabi, Bilal
Marmar, Zuhayr
Source
Damascus University Journal of Engineering Sciences
Issue
Vol. 38, Issue 2 (s) (30 Jun. 2022), pp.62-68, 7 p.
Publisher
Publication Date
2022-06-30
Country of Publication
Syria
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Electroencephalographic (EEG) signal's importance increases as the neurotechnology research and industry accelerate.
therefore, it is crucial to acquire noise-free signals by maximising the signal to-noise ratio (SNR).
many methods are followed to clean the signals, such as band-pass filters and notch filters.
more advanced preprocessing techniques, like independent component analysis (ICA), were also used.
these methods can increase SNR, but it is also true that they increase computation time and have the risk of signal distortion.
hence, isolating the noise components in the acquisition stage is more reliable.
this work provides a new method for noise reduction by developing an insulation cap (iCap).
The designed iCap was inspired by the coaxial cable and had four isolation layers.
the iCap was tested on 20 subjects by recording their EEG signals and comparing the cases when the iCap was worn and not worn.
the findings revealed that this approach could successfully boost the SNR of the EEG signal in 53.87% of the case by 57.45 5.93 %.
American Psychological Association (APA)
al-Arja, Ali& Matuq, Sarah& Abu al-Dhahab, Mamun& Di Iorio, Angelo& Apollonio, Luca& Gravina, Alessandro…[et al.]. 2022. iCap : new method for noise reduction in electroencephalography (EEG) signals. Damascus University Journal of Engineering Sciences،Vol. 38, no. 2 (s), pp.62-68.
https://search.emarefa.net/detail/BIM-1513555
Modern Language Association (MLA)
al-Arja, Ali…[et al.]. iCap : new method for noise reduction in electroencephalography (EEG) signals. Damascus University Journal of Engineering Sciences Vol. 38, no. 2 (Special issue) (2022), pp.62-68.
https://search.emarefa.net/detail/BIM-1513555
American Medical Association (AMA)
al-Arja, Ali& Matuq, Sarah& Abu al-Dhahab, Mamun& Di Iorio, Angelo& Apollonio, Luca& Gravina, Alessandro…[et al.]. iCap : new method for noise reduction in electroencephalography (EEG) signals. Damascus University Journal of Engineering Sciences. 2022. Vol. 38, no. 2 (s), pp.62-68.
https://search.emarefa.net/detail/BIM-1513555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 68
Record ID
BIM-1513555