Abstract
Benign Paroxysmal Positional Vertigo (BPPV) is an inner ear disorder characterized by dizziness and a sense of imbalance, resulting from a disturbance in the balance center located in the inner ear, often due to dislodged otoliths. This study focuses on the challenges associated with detecting horizontal, vertical, and torsional nystagmus in BPPV patients. To detect horizontal and vertical movements, a method involving conversion to a polar coordinate system is used. Torsional movements are more complex compared to other movement components, making their accurate detection difficult. To overcome this difficulty, the effectiveness of the template matching method in the analysis of torsional nystagmus is being evaluated. The proposed feature extraction methods, aim to overcome the challenges encountered in the diagnosis and treatment of BPPV.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings |
| Editors | Ahmed Abdelgawad, Akhtar Jamil, Alaa Ali Hameed |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350372977 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 3rd IEEE International Conference on Computing and Machine Intelligence, ICMI 2024 - Mt. Pleasant, United States Duration: 13 Apr 2024 → 14 Apr 2024 |
Publication series
| Name | 2024 IEEE 3rd International Conference on Computing and Machine Intelligence, ICMI 2024 - Proceedings |
|---|
Conference
| Conference | 3rd IEEE International Conference on Computing and Machine Intelligence, ICMI 2024 |
|---|---|
| Country/Territory | United States |
| City | Mt. Pleasant |
| Period | 13/04/24 → 14/04/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- bppv
- nystagmus
- polar coordinate system
- template matching