相关实验视频

Updated: May 23, 2025

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

414

使用EEG信号的谱图和YOLOv8深度学习模型对睡眠呼吸暂停综合征的分类

Kubra Tanci1, Mahmut Hekim1

  • 1Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, Tokat Gaziosmanpasa University, Tokat, Turkey.

PeerJ. Computer science
|March 10, 2025
PubMed
概括

这项研究使用脑电图 (EEG) 谱图和YOLOv8深度学习模型对睡眠呼吸暂停综合征进行了分类,达到93.7%的准确率. YOLOv8提供了比其他模型更快的处理和更少的参数,以改善睡眠呼吸暂停诊断.

关键词:
这是EEG信号.在 ResNet6464 中,您可以使用 ResNet64 的功能.睡眠呼吸暂停综合征是什么频谱图是指一个光谱图.这是YOLOv5的.这就是YOLOv8的意义.

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