Horizontal nystagmus identification with joint SAM segmentation and time series classification
This paper presents an efficient diagnostic approach for the detection of horizontal nystagmus, offering substantial improvements in detection accuracy. Furthermore, it introduces a novel and clinically applicable solution for the early screening and intervention of vestibular disorders, enhancing the potential for timely diagnosis and management in clinical practice.
Authors
- Hanyue Yang
- Ruizhe Yang
- Haiyan Wu
- Zhenfeng Zhu
- Chen Lin
- Muhao Xu
Institutions
- Shenyang Aerospace University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Beijing Jiaotong University (CN)
- Peking Union Medical College Hospital (CN)
- Ministry of Education (ME)
Publication Details
- Journal
- European Archives of Oto-Rhino-Laryngology
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1007/s00405-025-09950-4
- Citations
- 1
- Primary Topic
- Vestibular and auditory disorders
- Type
- article
- Field-Weighted Citation Impact
- 30.63
Funders
- National Natural Science Foundation of China
- Peking Union Medical College Hospital
- Beijing Nova Program