Automated Detection of Enhanced DBS Device Settings.
Automated Detection of Enhanced DBS Device Settings.
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DOI：
10.1145/3395035.3425354
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Cohn J
中科院分区：
文献类型：
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作者：
Ding Y;Ertugrul IO;Darzi A;Provenza N;Jeni LA;Borton D;Goodman W;Cohn J
腹侧纹状体持续深部脑刺激(DBS)是治疗难治性强迫症(OCD)的有效方法。最佳参数设置由强烈的积极情绪的欢笑反应发出信号，这是由临床医生主观确定的。主观判断是特殊的，很难标准化。为了客观地衡量快乐的反应，我们使用了自动面部情感识别(AFAR)对一名接受DBS治疗的患者进行了一系列纵向评估。使用统计和机器学习方法比较了调整前和调整后的DBS。积极情绪在DBS调整后显著高于调整后。使用支持向量机和XGBoost对被试调整前后的外观进行区分，F1为0.76，表明客观测量快乐反应是可行的。
Continuous deep brain stimulation (DBS) of the ventral striatum (VS) is an effective treatment for severe, treatment-refractory obsessive-compulsive disorder (OCD). Optimal parameter settings are signaled by a mirth response of intense positive affect, which are subjectively identified by clinicians. Subjective judgments are idiosyncratic and difficult to standardize. To objectively measure mirth responses, we used Automatic Facial Affect Recognition (AFAR) in a series of longitudinal assessments of a patient treated with DBS. Pre- and post-adjustment DBS were compared using both statistical and machine learning approaches. Positive affect was significantly higher post-DBS adjustment. Using SVM and XGBoost, participant’s pre- and post-adjustment appearances were differentiated with F1 of 0.76, which suggests feasibility of objective measurement of mirth response.