Efficient diagnostic classification of diverse pathologies through contextual eye movement data analysis with a novel hybrid architecture.

ABSTRACT: The analysis of eye movements has proven valuable for understanding brain function and the neuropathology of various disorders. This research aims to utilize eye movement data analysis as a screening tool for differentiation between eight different groups of pathologies, including scholar, neurologic, and postural disorders. Leveraging a dataset from 20 clinical centers, all employing AIDEAL and REMOBI eye movement technologies this study extends prior research by considering a multi-annotation setting, incorporating information from recordings from saccade and vergence eye movement tests, and using contextual information (e.g. target signals and latency of the eye movement relative to the target and confidence level of the quality of eye movement recording) to improve accuracy while reduc

SUBMITTER: El Hmimdi AE 

PROVIDER: S-EPMC11399410 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature