Valderas María Teresa, Bolea Juan, Laguna Pablo, Vallverdú Montserrat, Bailón Raquel
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6134-7. doi: 10.1109/EMBC.2015.7319792.
The work presented in this paper aims at assessing human emotion recognition by means of the analysis of the heart rate variability (HRV) with varying spectral bands based on respiratory frequency (RF). Three specific emotional states are compared corresponding to calm-neutral state (Relax), positive elicitation (Joy) and negative elicitation (Fear). Standard HRV analysis in time and frequency domain is performed. In order to better characterize the HRV component related to respiratory sinus arrhythmia, the high frequency (HF) band is centered on RF. Results reveal that the power content in low band (PLF), the normalized power content in HF band (PHFn) and the sympathovagal ratio (LF/HF) can be suitable indices to distinguish Relax and Joy. Mean heart rate and RF are significantly different between Relax and Fear. Different HRV indices show significant differences between Joy and Fear, such as pNN50, PLF, PHFn and LF/HF. Statistical analysis of HRV indices with HF centered in the RF results in a lower p-value than the ones with a HF standard band.
本文所展示的工作旨在通过基于呼吸频率（RF）对不同频谱带的心率变异性（HRV）进行分析来评估人类情绪识别。比较了三种特定的情绪状态，分别对应平静 - 中性状态（放松）、积极诱发状态（喜悦）和消极诱发状态（恐惧）。进行了时域和频域的标准HRV分析。为了更好地表征与呼吸性窦性心律失常相关的HRV成分，高频（HF）带以RF为中心。结果表明，低频带功率含量（PLF）、HF带归一化功率含量（PHFn）和交感神经与迷走神经比率（LF/HF）可以作为区分放松和喜悦的合适指标。放松和恐惧状态之间的平均心率和RF存在显著差异。不同的HRV指标在喜悦和恐惧之间显示出显著差异，如pNN50、PLF、PHFn和LF/HF。对以RF为中心的HF的HRV指标进行统计分析，其p值低于以HF标准带为中心的分析结果。
