A
Amir F. Al-Bakri
Researcher at University of Kentucky
Publications - 11
Citations - 91
Amir F. Al-Bakri is an academic researcher from University of Kentucky. The author has contributed to research in topics: Electroencephalography & Identification (biology). The author has an hindex of 3, co-authored 8 publications receiving 29 citations. Previous affiliations of Amir F. Al-Bakri include University of Babylon.
Papers
More filters
Journal ArticleDOI
Summary of over Fifty Years with Brain-Computer Interfaces-A Review.
Aleksandra Kawala-Sterniuk,Natalia Browarska,Amir F. Al-Bakri,Mariusz Pelc,Mariusz Pelc,Jarosław Zygarlicki,Michaela Sidikova,Radek Martinek,Edward Jacek Gorzelanczyk +8 more
TL;DR: In this paper, the authors present the most relevant aspects of the BCI and all the milestones that have been made over nearly 50-year history of this research domain and highlight all the technological and methodological advances that have transformed something available and understandable by a very few into something that has a potential to be a breathtaking change for so many.
Book ChapterDOI
Implementation of Low-Pass Fractional Filtering for the Purpose of Analysis of Electroencephalographic Signals
Aleksandra Kawala-Janik,Waldemar Bauer,Amir F. Al-Bakri,Chase Haddix,Rajamanickam Yuvaraj,Katarzyna Cichon,Wojciech Podraza +6 more
TL;DR: In this paper potential application of various low-pass fractional filters (Bi-Fractional Filtering) applied for the purpose of electroencephalography (EEG) analysis was presented and results give promising results.
Proceedings ArticleDOI
Effect of Vigilance Changes on the Incidence of High Frequency Oscillations in the Epileptic Brain
TL;DR: This study analyzed simultaneous recordings of the scalp electroencephalogram (EEG) and the electrocorticogram (ECoG) to examine the correlation of HFO activity with vigilance state and found the proportion of 30-s epochs containing HFOs was found to increase significantly with sleep depth.
Journal ArticleDOI
Prediction of isometric handgrip force from graded event-related desynchronization of the sensorimotor rhythm.
TL;DR: In this paper, the degree of effort in a specific movement task to produce a graded and more flexible command signal was decoded to predict exerted force in a hand dynamometer with continuous visual feedback, while the EEG and grip force were monitored.
Proceedings ArticleDOI
A Comparison of EEG Alpha Rhythm Detection by Tripolar Concentric Ring Electrodes and Conventional Disk Electro des
TL;DR: The ability of this tripolar EEG (tEEG) system to detect the extent to which the alpha rhythm—an 8-13 Hz oscillation found in the EEG when the subject is at rest with the eyes closed—is modulated by opening the eyes is compared with simultaneous conventional EEG measurements.