On the characterization of motor imagery functions based on systematic timing organization of the human brain
tarafından
Olcay, Bilal Orkan, author.
Başlık
:
On the characterization of motor imagery functions based on systematic timing organization of the human brain
Yazar
:
Olcay, Bilal Orkan, author.
Yazar Ek Girişi
:
Olcay, Bilal Orkan, author.
Fiziksel Tanımlama
:
xviii, 273 leaves:+ 1 computer laser optical disc.
Özet
:
The main objective of this thesis is to analyze the timing organization of the brain. The human brain is known to adjust its localized and also the reciprocal operations for each different cognitive task adaptively. This flexibility of the brain has attracted considerable interest in neuroscience. Elucidation of timing adaptation property of brain, however, remains as unresolved due to dynamically changing and nonlinear nature of the brain. In this thesis, we characterize the timing organization of the brain during motor imagery activity using electroencephalography signals. First, we propose a novel motor imagery activity recognition method that relies on the activity-specific time-lag between electroencephalography signals obtained from different brain regions. Next, we generalize this approach into three-parameter formulation to determine the timing profiles of activity-specific short-lived synchronization. The identification of activity-specific timing parameters was carried out using a heuristic approach that maximizes the average pairwise channel synchronizations during associated activity periods. Thereafter, we propose a novel BCI framework that find and use the timings of electroencephalography signals of localized brain regions that elicit localized activity-specific complexity features. We identify the timings for each different brain regions by adopting a heuristic-probabilistic method. Finally, we propose a novel autoregressive modeling framework that finds a representative model for each different cognitive activity. We demonstrated the efficacy of the proposed methods on publicly available brain-computer interfacing datasets on motor imagery. The performance results indicate that considering the timing organization of the brain is crucial for accurate characterization of cognitive activity. In addition, it may also account for the inconsistency of brain computer interfacing performance obtained from different subjects.
Konu Başlığı
:
Electroencephalography.
Brain -- Imaging.
Biomedical engineering.
Signal processing.
Yazar Ek Girişi
:
Karaçalı, Bilge,
Tüzel Kişi Ek Girişi
:
İzmir Institute of Technology. Electrical and Electronics Engineering.
Tek Biçim Eser Adı
:
Thesis (Doctoral)--İzmir Institute of Technology:Electrical and Electronics Engineering.
İzmir Institute of Technology: Electrical and Electronics Engineering --Thesis (Doctoral).
Elektronik Erişim
:
Library | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi |
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IYTE Library | Tez | T002352 | QP376.5 .O43 2021 | Tez Koleksiyonu |