Differentiating between stress- and EPT-induced electrodermal activity during dental examination.
Differentiating between stress- and EPT-induced electrodermal activity during dental examination.
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DOI：
10.1016/j.compbiomed.2023.106695
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发表时间：
2023-03
影响因子：
7.7
通讯作者：
中科院分区：
文献类型：
--
作者：
牙痛会刺激交感神经系统，这可以通过皮肤电活动（EDA）来测量。在牙科诊所，准确的疼痛量化是必要的，因为它可以优化药物剂量治疗，从而潜在地减少药物成瘾。然而，一个混淆的因素是，在疼痛期间也有挥之不去的残余压力，因此，两者都有助于EDA反应。因此，我们研究了EDA是否可以在牙科检查时区分压力和疼痛。电髓测试（EPT）是一种理想的方法来梳理应力的动态和模拟疼痛的残余应力。一旦感觉到电感觉并达到临界电流阈值，受试者将探头从牙齿中取出，因此，这一阶段的数据主要代表EPT刺激，而残余应力诱导的EDA响应较小。对51例患者的坏死牙和活牙进行了EPT检查。基于受试者基线试验的视觉模拟量表（VAS），我们根据受试者EPT强度水平预期，定义了4个不同的反应数据组：轻度应激、轻度应激+ EPT、强应激、强应激+ EPT。残余滞留应力+ EPT组与应激组之间eda衍生特征差异显著。我们用多层感知器区分纯应激组与应激+ EPT组的准确率为84.6%，灵敏度为76.2%，特异性为86.8%。与应激相比，EPT诱导的EDA振幅更大，反应速度更快。我们的发现表明，我们的机器学习方法可以在EDA信号中区分压力和EPT刺激。
Dental pain invokes the sympathetic nervous system, which can be measured by electrodermal activity (EDA). In the dental clinic, accurate quantification of pain is needed because it could enable optimized drug-dose treatments, thereby potentially reducing drug addiction. However, a confounding factor is that during pain there is also lingering residual stress, hence, both contribute to the EDA response. Therefore, we investigated whether EDA can differentiate stress from pain during dental examination. The use of electrical pulp test (EPT) is an ideal approach to tease out the dynamics of stress and mimic pain with lingering residual stress. Once the electrical sensation is felt and reaches a critical current threshold, the subject removes the probe from their tooth, hence, this stage of data represents largely EPT stimulus and the residual stress-induced EDA response is smaller. EPT was performed on necrotic and vital teeth in fifty-one subjects. We defined four different data groups of reactions based on each individual’s EPT intensity level expectation based on the visual analog scale (VAS) of their baseline trial, as follows: mild stress, mild stress + EPT, strong stress, and strong stress + EPT. EDA-derived features exhibited significant difference between residual lingering stress + EPT groups and stress groups. We obtained 84.6% accuracy with 76.2% sensitivity and 86.8% specificity with multilayer perceptron in differentiating between pure-stress groups vs. stress + EPT groups. Moreover, EPT induced much greater EDA amplitude and faster response than stress. Our finding suggests that our machine learning approach can discriminate between stress and EPT stimulation in EDA signals.
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影响因子：
3.7
作者：
BOHLIN, G
通讯作者：
BOHLIN, G
影响因子：
4
作者：
Posada-Quintero, Hugo F.;Florian, John P.;Chon, Ki H.
通讯作者：
Chon, Ki H.
DOI：
10.3390/s21123956
发表时间：
2021-06-08
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Kong Y;Posada-Quintero HF;Chon KH
通讯作者：
Chon KH
DOI：
10.1093/geronj/36.1.7
发表时间：
1981-01-01
期刊：
JOURNALS OF GERONTOLOGY
影响因子：
--
作者：
GARWOOD, M;ENGEL, BT;KUSTERER, JP
通讯作者：
KUSTERER, JP
影响因子：
8.5
作者：
Feng, Huanghao;Golshan, Hosein M.;Mahoor, Mohammad H.
通讯作者：
Mahoor, Mohammad H.