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首页> 外文会议>IEEE-EMBS Conference on Biomedical Engineering and Sciences >Stress Response Index for Adverse Childhood Experience Based on Fusion of Biomarkers
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Stress Response Index for Adverse Childhood Experience Based on Fusion of Biomarkers

机译：基于生物标志物融合的儿童期不良经历的应激反应指数

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Adverse childhood experiences has been suggested to cause change in physiological processes and can determine the magnitude of stress response which might have significant impact on health later in life. For this reason, detection of this altered stress response can be used as an indicator for future health. To detect the altered stress response, biomarkers that represent both autonomic nervous system (ANS) and hypothalamic-pituitary-adrenocorticol (HPA) is proposed. This study fuses the biomarker that represents both ANS and HPA as a single measure to classify the stress response based on adverse childhood experience and propose a stress response index as an future health indicator. Electrocardiograph (ECG), blood pressure, pulse rate and salivary cortisol (SCort) were collected from 12 participants who had adverse childhood experience while the remaining 11 acted as the control group. The recording session was done during a Paced Auditory Serial Addition Test (PASAT). HRV was then computed from the ECG and the HRV features were extracted. Next, the selected HRV features were combined with other biomarkers and the performance of the fused features were compared. From the result, fused feature by the parallel fusion; known as Euclidean distance (ed) demonstrated the highest performance with 80.0% accuracy, 83.3% sensitivity and 78.3% specificity. This performance was achieved using Support Vector Machine. Finally, the fused feature was fed into SVM in order to model the stress response index as an indicator for future health.
机译：不良的童年经历被认为会引起生理过程的改变，并能确定压力反应的程度，这可能对以后的健康产生重大影响。因此，这种改变的压力反应的检测可以用作未来健康的指标。为了检测改变的应激反应，提出了代表自主神经系统（ANS）和下丘脑-垂体-肾上腺皮质激素（HPA）的生物标志物。这项研究融合了代表ANS和HPA的生物标志物作为一种单一方法，可以根据不良的儿童时期经验对压力反应进行分类，并提出压力反应指数作为未来的健康指标。收集来自12名童年经历不良的参与者的心电图（ECG），血压，脉搏率和唾液皮质醇（SCort），其余11名作为对照组。录音会话是在听觉序列附加测试（PASAT）中进行的。然后从ECG计算HRV，并提取HRV特征。接下来，将选定的HRV特征与其他生物标志物组合，并比较融合特征的性能。从结果来看，融合特征由并行融合而成；称为欧几里德距离（ed）表现出最高的性能，准确度为80.0％，灵敏度为83.3％，特异性为78.3％。使用支持向量机可以实现此性能。最后，将融合特征输入到SVM中，以便将压力响应指数建模为未来健康的指标。

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