大脑不对称性表示基于学习的深度子域适应网络,用于基于脑电图的情绪识别
Zhe Wang1, Yongxiong Wang1, Xin Wan1
1The School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, People's Republic of China.
Physiological measurement
|February 29, 2024
概括
这项研究引入了一种新的深度学习网络 (CARL-DSAN),用于基于脑电图 (EEG) 的情绪识别. 该方法通过学习大脑不对称性和调整子域来增强跨主题分类,在兴奋和价值检测方面达到高精度.
科学领域:
- 神经科学是一个神经科学.
- 机器学习 机器学习
- 生物医学信号处理
背景情况:
- 从电脑电图 (EEG) 中提取空间信息用于情绪识别是具有挑战性的.
- 个体差异导致领域转移,降低了跨主题EEG分类性能.
研究的目的:
- 提出基于大脑不对称性表示学习的深度子域适应网络 (CARL-DSAN),以加强基于EEG的跨主体情绪识别.
- 为了应对空间信息提取和EEG情感识别领域转移的挑战.
主要方法:
- 卡尔模块使用了两步策略,用于半球内空间学习和不对称表示学习,灵感来自大脑半球活动.
- 在CARL中的变压器编码器强调贡献电极和对.
- DSAN模块通过对准相关子域来减轻域名转移,以提高跨主题性能.
主要成果:
- 在DEAP数据库上的独立实验对象的准确度为唤起68.67%和价值67.11%.
- 在MAHNOB-HCI数据库中,精度为唤起67.70%,价值为67.18%.
结论:
- 卡尔-达森模型在兴奋和价值分类方面表现出色的跨主题性能.
- 拟议的方法有效地通过利用大脑不对称性和子域适应来增强基于EEG的情绪识别.
相关概念视频
Functional Brain Systems: Limbic System
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Cerebral Hemispheres
The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
Brain Imaging
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).


