AI SearchEEG data augmentation for motor imagery classification using diffusion models (Record no. 34089)
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| fixed length control field | 03079nas a2200397 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818094839.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240229s20239999th u m tt 000 a eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12421741 |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.DSAI-23-02 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nutapol Soingern |
| 245 10 - TITLE STATEMENT | |
| Title | EEG data augmentation for motor imagery classification using diffusion models |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 27 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. DSAI-23-02 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Data Science and Artificial Intelligence, School of Engineering and Technology |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2023 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The classification of motor imagery through electroencephalogram signals is a significant area of research that has been thoroughly explored in the domain of brain-computer interfaces (BCIs). EEG-based classification often faces the issue of overfitting due to the scarcity of data. Data augmentation techniques have been proposed as a solution to address the issue by increasing the size of the training data set. This research paper presents a novel approach for enhancing motor imagery classification in EEG signals through the application of diffu sion models as a data augmentation technique. The utilization of diffusion models involves the introduction of Gaussian noise to the initial EEG signals, resulting in the production of novel samples. The proposed method is evaluated on a publicly available EEG dataset for the purpose of motor imagery classification. A comparison is made between this method and various other state-of-the-art data augmentation techniques. The study{u2019}s findings indicate that the proposed method exhibits superior performance in classification accuracy compared to alternative methods. These results suggest that the proposed method has the potential to serve as a viable data augmentation technique for classifying EEG-based motor imagery. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electroencephalography |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Brain-computer interfaces |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Deep learning (Machine learning) |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chaklam Silpasuwanchai, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dailey, Matthew N., |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Royal Thai Government Fellowship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. DSAI-23-02 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B20431">http://203.159.5.9/ait-thesis/detail.php?q=B20431</a> |
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| a | 250307 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 240315 |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
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| Barcode | Barcode : - |
| CREATED | CREATED : 2024-02-29 |
| RECORD Id | RECORD # : i13487954 |
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| Barcode | Barcode : 30050120898902 |
| CREATED | CREATED : 2025-07-03 |
| RECORD Id | RECORD # : i13537416 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Price effective from | Koha item type | Barcode | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.DSAI-23-02 | 18/08/2026 | 18/08/2026 | 67-Electronic Resource | ||||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Thesis no.DSAI-23-02 | 18/08/2026 | 18/08/2026 | 40-Archives | 30050120898902 | 1 |