探讨微表情在抑郁症识别中的应用  

Clinical study of microexpression recognition in patients with depression

作　　者：邓怀丽[1] 王斌红 王靓 DENG Huaili;WANG Binhong;WANG Liang(Taiyuan Psychiatric Hospital,Taiyuan 030045,China)

机构地区：[1]太原市精神病医院,山西太原030045

出　　处：《临床医药实践》2023年第2期93-96,共4页Proceeding of Clinical Medicine

基　　金：山西省卫生健康委员会科研课题(课题编号:2022148)

摘　　要：目的:探讨微表情识别与抑郁情绪的相关性。方法:选择自觉抑郁情绪的门诊患者64例为研究对象,对其微表情进行识别,将所得10项行为参数与Zung抑郁自评量表(SDS)和Zung焦虑自评量表(SAS)做相关性研究,为认识抑郁症的病理心理学机制提供新的证据。结果:微表情识别的综合参数值与SDS和SAS检测结果一致,准确率均高于97%。结论:微表情识别对抑郁症的发生可能有重要预测作用,具有较高临床价值。Objective:To explore the correlation between microexpression recognition and depressed mood in patients with depression.Methods:All 64 patients with different degrees of depression were selected as subjects to conduct recognition tests on their microexpressions.The correlation between 10 behavioral parameters obtained and Zung Self-rating Depression Scale(SDS)and Zung Self-rating Anxiety Scale(SAS)was studied to provide new evidence for understanding the pathologic and psychological mechanism of depression.Results:The comprehensive parameter values of micro-expression recognition were consistent with the results of SDS and SAS,and the accuracy rate was higher than 97%.Conclusion:Microexpression recognition may play an important role in predicting the occurrence of depression and has high clinical value.

关 键 词：抑郁症 微表情 临床 

分 类 号：R749.4[医药卫生—神经病学与精神病学]