Quantitative Evaluation of Facial Expression in a Patient With Minimally Conscious State After Severe Traumatic Brain Injury
Quantitative Evaluation of Facial Expression in a Patient With Minimally Conscious State After Severe Traumatic Brain Injury
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严重创伤性脑损伤后处于最低意识状态的患者面部表情的定量评估
DOI：
10.1097/htr.0000000000000666
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发表时间：
2021
影响因子：
2.4
通讯作者：
Otaka Yohei
中科院分区：
文献类型：
--
作者：
Obayashi Yota;Uehara Shintaro;Kokuwa Ryu;Otaka Yohei
目的：探讨自动面部表情分析是否可以量化的面部反应的强度的差异取决于患者的情感刺激的最低意识状态（MCS）。方法：我们拍摄的面部反应的MCS患者在提供三个1分钟的听觉刺激：音频剪辑的喜剧电影，一个护士hilariously说话，和背诵的小说（喜剧，护士，和背诵条件，分别）。在大约10个月的时间里，在不同的日期对每种情况重复这些测量至少13次。“快乐”的程度是通过一种名为FaceReader的软件从笑脸中估计出来的。使用Kruskal-Wallis检验和Dunn-Bonferroni检验进行多重比较。结果：在喜剧和护士条件下，与其他条件相比，5种条件（包括2种静息条件（刺激前和刺激后））之间的强度进行了比较，在背诵和刺激前或刺激后条件之间没有显著差异。这些研究结果表明，自动面部表情分析可以量化的上下文相关的面部反应在本study.Conclusions招募的患者的差异：本案例研究表明，使用自动面部表情分析定量评估的面部表情和他们相应的情绪在一个单一的MCS患者的差异的可行性。
Objective:To investigate whether automatic facial expression analysis can quantify differences in the intensity of facial responses depending on the affective stimuli in a patient with minimally conscious state (MCS).Methods:We filmed the facial responses of a patient with MCS during the delivery of three 1-minute auditory stimuli: audio clips of comedy movies, a nurse hilariously talking, and recitation of a novel (comedy, nurse, and recitation conditions, respectively). These measures were repeated at least 13 times for each condition on different days for approximately 10 months. The intensity of being “happy” was estimated from the smiling face using a software called FaceReader. The intensity among 5 conditions including those at 2 resting conditions (pre-and poststimuli) was compared using the Kruskal-Wallis test and the Dunn-Bonferroni test for multiple comparisons.Results:Significantly higher values were found in the intensity of being “happy” in the comedy and nurse conditions versus other conditions, with no significant differences between the recitation and pre-or poststimulus conditions. These findings indicate that the automated facial expression analysis can quantify differences in context-dependent facial responses in the patient recruited in this study.Conclusions:This case study demonstrates the feasibility of using automated facial expression analysis to quantitatively evaluate the differences in facial expressions and their corresponding emotions in a single patient with MCS.
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重新审视普遍性
DOI：
--
发表时间：
1972
期刊：
影响因子：
--
作者：
H. Lipkin
通讯作者：
H. Lipkin
眼睛睁着，大脑闭着。
影响因子：
3
作者：
Steven Laureys
通讯作者：
Steven Laureys
影响因子：
2.7
作者：
Day, Kristin V.;DiNapoli, Michael V.;Whyte, John
通讯作者：
Whyte, John
[持续性植物人状态评定量表的可靠性和因子结构]。
DOI：
--
发表时间：
1997
期刊：
No to shinkei = Brain and nerve
影响因子：
--
作者：
S. Fujiwara;N. Nakasato;Y. Nagamine;T. Yoshimoto;K. Suematsu;R. Takeda;S. Takahashi;E. Oda;Y. Ohashi
通讯作者：
Y. Ohashi
影响因子：
1.9
作者：
Gill-Thwaites, H;Munday, R
通讯作者：
Munday, R