Feature extraction and emotion recognition based on ECG P-QRS-T waves

doi:10.3778/j.issn.1002-8331.2009.08.064

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (8): 213-215.DOI: 10.3778/j.issn.1002-8331.2009.08.064

• 工程与应用 • Previous Articles Next Articles

Feature extraction and emotion recognition based on ECG P-QRS-T waves

JIANG De-yu¹,LIU Guang-yuan²,LONG Zheng-ji²

1.School of Computer and Information Science，Southwest University，Chongqing 400715，China
2.School of Electronic and Information Engineering，Southwest University，Chongqing 400715，China

Received:2008-06-13 Revised:2008-09-10 Online:2009-03-11 Published:2009-03-11
Contact: JIANG De-yu

基于心电P-QRS-T波的特征提取及情感识别

蒋德育¹,刘光远²,龙正吉²

1.西南大学计算机与信息科学学院，重庆 400715
2.西南大学电子信息工程学院，重庆 400715

通讯作者: 蒋德育

Abstract

Abstract: In the emotion recognition based on ECG，the features which express different emotion status well are the basis of improving recognition ratio.In this paper，after ECG denoised by optimal wavelet，detect P，QRS and T waves and compute their energy value，then extract feature to classify emotions，also analyze the trend of variance in P-QRS-T waves’ energy and its sensitivity to emotion status under different emotions.The main result shows that P-QRS-T waves’ energy changes with the variance of emotion status and is sensitive to Joy with recognition ratio of 96%.At the same time，the emotional recognition ratio increases with the optimal wavelet denoising.

Key words: emotion recognition, feature extraction, optimal wavelet denoising, P-QRS-T waves detection

摘要： 在基于心电的情感识别中，体现不同情感状态的特征是提高情感识别率的基础。采用最优小波去噪心电信号，进行P波、QRS波、T波检测和能量计算，然后提取特征进行情感分类，并分析了P-QRS-T波能量在不同情感状态下的变化趋势和对情感状态的敏感性。实验结果表明，P-QRS-T波能量变化能体现情感状态的变化，对高兴敏感，识别率可达96%；同时最优小波去噪能有效地提高情感状态识别率。

关键词: 情感识别, 特征提取, 最优小波去噪, P-QRS-T波检测

JIANG De-yu¹,LIU Guang-yuan²,LONG Zheng-ji². Feature extraction and emotion recognition based on ECG P-QRS-T waves[J]. Computer Engineering and Applications, 2009, 45(8): 213-215.

蒋德育¹,刘光远²,龙正吉². 基于心电P-QRS-T波的特征提取及情感识别[J]. 计算机工程与应用, 2009, 45(8): 213-215.

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Feature extraction and emotion recognition based on ECG P-QRS-T waves

基于心电P-QRS-T波的特征提取及情感识别

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