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| dc.contributor.author | Prottasha, Fatema Zerin | |
| dc.contributor.author | Hasan, Mohammad Mahmudul | |
| dc.contributor.author | Shanto, Shuvo Islam | |
| dc.date.accessioned | 2022-04-20T07:03:25Z | |
| dc.date.available | 2022-04-20T07:03:25Z | |
| dc.date.issued | 2021-03-30 | |
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| dc.identifier.uri | http://hdl.handle.net/123456789/1369 | |
| dc.description | Supervised by Prof. Dr. Md. Ruhul Amin, Head, Department of Electrical and Electronic Engineering Islamic University of Technology (IUT), ,Boardbazar, Gazipur-1704.Bangladesh | en_US |
| dc.description.abstract | The classic, easier, and the most practiced way of comprehending the functionalities of the Human Brain is collecting Encephalic Potential Difference – technically known as EEG. As Neuroscience Researchers worldwide are using the time series data of Brain Wave voltage into analyzing, building, and featuring Human Behavioral Traits, Motor Functionalities, Cognitive Cerebral Activities, and BCI, the focus has been shifted on the consciousness factors of the Human Psyche. Meanwhile, the subdued consciousness studies remain highly unattended and untouched. So, with an aspiration to exploit Biomedical Signal Processing into the unknown arena of Unconsciousness, the team has chosen to dig into the features of Impaired Consciousness i.e. Anesthesia and Comatose Patients. The work focuses on the comparative analysis of different consciousness levels along with cerebral signatures with the help of EEG signals. By deploying the known set of parameters for consciousness, the research looks forward to quantifying the EEG data acquired from the patients in Coma and identify the existing rhythms thereafter. With continual progress, the study shed light on the previously unknown Cerebral facts of the patients with subdued consciousness. As the features, identifiers, and parameters are superposed to depict the outcome, the study yielded a new finding – termed Failure Harmonics which deliberately exposes the failure in the transition from one level of consciousness to the other – marking one of the potential reasons for traumatic long-term Unconsciousness. The whole set of findings and extractions will not only usher new comprehensive perceptions of Coma as an addition to neuroscience but also help diagnosing the patients of impaired consciousness to a hopeful recovery. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh | en_US |
| dc.title | Quantifying the Locomotive Features in EEG of Impaired Consciousness and Coma with Distinctive Cerebral Rhythms | en_US |
| dc.type | Thesis | en_US |
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2021 [63]