EEG-based epileptic seizure detection using machine learning /deep learning (Record no. 54698)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00861nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610.28 |
| Author Mark | INZ |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Inzimam Saeed (39748) |
| 245 ## - TITLE STATEMENT | |
| Title | EEG-based epileptic seizure detection using machine learning /deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (Unpublished) |
| Date of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 61 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in partial fulfillment of the requirements for the degree of Master of Science in Biomedical Engineering. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Faraz Akram |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.S.)--Riphah International University, 2023 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Biomedical Engineering |
| Keywords | EEG signals of brain |
| -- | Machine learning approach |
| -- | Deep learning approach |
| -- | Epilepsy seizures |
| -- | Epileptic |
| -- | FEAS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
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