具有典型相关分析的多模态应力监测系统。

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference Pub Date : 2015-01-01 DOI:10.1109/EMBC.2015.7318597

Unsoo Ha, Changhyeon Kim, Yongsu Lee, Hyunki Kim, Taehwan Roh, Hoi-Jun Yoo

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引用次数: 2

摘要

提出了用于移动应力管理系统的多模态应力监测头带。它由头带和耳塞组成。在该系统中，可以同时实现脑电图(EEG)、血脑图(HEG)和心率变异性(HRV)，用于用户状态估计。通过典型相关分析(CCA)和时间核相关分析(tkCCA)算法，可以将这些不同的信号组合在一起以获得最大的相关性。在n-back任务中，该系统的准确率比单峰监测系统提高了19个百分点。

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A multimodal stress monitoring system with canonical correlation analysis.

The multimodal stress monitoring headband is proposed for mobile stress management system. It is composed of headband and earplugs. Electroencephalography (EEG), hemoencephalography (HEG) and heart-rate variability (HRV) can be achieved simultaneously in the proposed system for user status estimation. With canonical correlation analysis (CCA) and temporal-kernel CCA (tkCCA) algorithm, those different signals can be combined for maximum correlation. Thanks to the proposed combination algorithm, the accuracy of the proposed system increased up to 19 percentage points than unimodal monitoring system in n-back task.

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来源期刊

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

CiteScore

2.20

自引率

0.00%

发文量