학술논문
An Algorithm for Detecting Artifacts in Video Recordings of Long-Term Video-EEG Monitoring Data for the Diagnostics of Delayed Cerebral Ischemia
Document Type
Conference
Source
2023 IX International Conference on Information Technology and Nanotechnology (ITNT) Information Technology and Nanotechnology (ITNT), 2023 IX International Conference on. :1-5 Apr, 2023
Subject
Language
Abstract
In this paper, we propose an algorithm for detecting artifacts in long-term video-EEG monitoring data in the problem of diagnosing cerebral ischemia after subarachnoid hemorrhage. The algorithm is based on a threshold detector using the smoothed optical flow value. The optical flow is calculated from the video frames of long-term video-EEG monitoring. We conducted a computational experiment that showed the following: (a) artifacts are detected with accuracy acceptable for diagnosing cerebral ischemia during synchronous analysis of video data and EEG signals; (b) artifacts can be detected in real time.