计算机应用 ›› 2012, Vol. 32 ›› Issue (10): 2963-2965.DOI: 10.3724/SP.J.1087.2012.02963

• 典型应用 • 上一篇    下一篇

两类情感状态下心电与心率变异性信号的非线性分析

杨敏,刘光远,温万惠   

  1. 西南大学 电子信息工程学院,重庆 400715
  • 收稿日期:2012-04-28 修回日期:2012-05-30 发布日期:2012-10-23 出版日期:2012-10-01
  • 通讯作者: 刘光远
  • 作者简介:杨敏(1986-),女,河南新乡人,硕士研究生,主要研究方向:智能信息处理、情感计算;刘光远(1961-),男,重庆人,教授,博士生导师,博士,主要研究方向:计算智能、情感计算;温万惠(1981-),女,重庆人,副教授,博士,主要研究方向:计算智能、情感计算。
  • 基金资助:
    国家自然科学基金;教育部科学技术研究重大项目;国家自然科学基金

Nonlinear analysis of ECG and HRV signals with two types of emotional states

YANG Min,LIU Guang-yuan,WEN Wan-hui   

  1. School of Electronics and Information Engineering, Southwest University, Chongqing 400715, China
  • Received:2012-04-28 Revised:2012-05-30 Online:2012-10-23 Published:2012-10-01
  • Contact: LIU Guang-yuan

摘要: 针对平静(无情感激发状态)和恐惧(有情感激发状态)这两类情感状态,采集了其心电信号数据样本,研究了有情感和没情感状态下心电信号中的情感信息。通过分析这两类情感状态下的心电信号的QT间期对RR间期的散点图、功率谱图的1/f分布以及心率变异性(HRV)信号的Poincare截面图,计算得到了这些非线性特征的关于两类情感状态的分类识别率,同时与心电信号统计特征的识别率做了对比。发现此种提取心电信号非线性特征的方法较于之前的统计特征方法,在识别有情感和没情感这两类情感状态时具有较好的识别效果。

关键词: 心电信号, 心率变异性, 非线性特征, 统计特征, 情感状态, 情感识别

Abstract: According to the emotional states of calm and fear, some emotional information of the Electrocardiogram (ECG)data samples were collected, and researched in both emotional and emotionless states. By the analysis of scatter plots of QT-RR intervals, the 1/f distribution law of ECG signals spectrum and the poincare sections of Heart Rate Variability (HRV), the recognition rate of nonlinear characteristics with these two types of emotional states was calculated, and compared with the recognition rate of statistical characteristics. The results indicate that extracting nonlinear characteristics of ECG signals has a better recognition result compared with statistical characteristics when distinguishing emotional states and emotionless states.

Key words: Electrocardiogram (ECG), Heart Rate Variability (HRV), nonlinear characteristic, statistical characteristic, emotional state, emotion recognition

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