Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data
Characteristics of facial muscle activity during voluntary facial expressions: Imaging analysis of facial expressions based on myogenic potential data
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DOI：
10.1002/npr2.12059
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发表时间：
2019-09-01
影响因子：
2.5
通讯作者：
Ishida, Yasushi
中科院分区：
文献类型：
--
作者：
Kuramoto, Eriko;Yoshinaga, Saori;Ishida, Yasushi
目的：面部表情是面部肌肉协调运动的结果，反映情绪的变化。护士观察面部表情是了解病人的一种方式。本研究进行了基础研究，使用面部肌源性电位地形图，以直观地确定与自愿面部表情面部肌肉活动的位置和强度的变化，以检查与面部expressions.Methods的关系：参与者包括18名健康成人（6名男性，12名女性，平均年龄24.3 +/- 4.3岁）。用19个同心圆电极测量面部肌源性电位，并进行地形图分析。利用电位变化和地形图，根据表情的特征，将与非自愿面部表情和自愿面部表情（高兴和厌恶）相关的肌肉活动进行分类。分类同质群体之间的反应厌恶，层次聚类analysis.Results：幸福的面部表情的一个特点是活动的领域，包括大延髓肌肉。在厌恶的面部表情中，包括皱眉肌在内的区域出现了特征性变化。聚类分析的表情厌恶显示四个同质subgroup.Conclusion：面部肌电位地形图，面部表情可以客观地评估，而不受影响的脸形状或面容。地形图中的颜色变化显示了表情的微妙变化，这些变化不能单独用统计处理来补充，而这些变化在识别个性方面很有用。因此，地形预计将被用来补充面部表情的基础知识，以更好地了解病人。
Purpose: Facial expressions are formed by the coordination of facial muscles and reflect changes in emotion. Nurses observe facial expressions as way of understanding patients. This study conducted basic research using facial myogenic potential topography to visually determine changes in the location and strength of facial muscle activity associated with voluntary facial expression to examine relationships with facial expressions.Methods: Participants comprised 18 healthy adults (6 men, 12 women; mean age, 24.3 +/- 4.3 years). Facial myogenic potentials were measured from 19 electrodes arranged concentrically on the face, and topographic analysis was conducted. Using potential changes and topograms, the muscle activity associated with nonvoluntary facial expression and voluntary facial expressions of happiness and disgust were classified according to the characteristics of expressions. To classify homogeneous groups among the reaction of disgust, hierarchical cluster analysis was utilized.Results: One characteristic of the facial expression of happiness was activity in areas including the greater zygomatic muscle. With the facial expression of disgust, characteristic changes were seen in areas including the corrugator supercilii. Cluster analysis of the expression of disgust showed four homogeneous subgroups.Conclusion: With facial myogenic potential topography, facial expressions can be evaluated objectively without being influenced by face shape or countenance. Color changes in topograms showed subtle changes in expressions that could not be supplemented with statistical processing alone, and these were useful in identifying individuality. Topography is thus expected to be utilized to supplement basic knowledge of facial expressions for a better understanding of patients.