Anxiety affects human capabilities and behavior as much as it affects productivity and quality of life. It is considered to be the main cause of depression and suicide. Anxious states are detectable by specialists by virtue of their acquired cognition and skills. There is a need for non-invasive reliable techniques that performs the complex task of anxiety detection. In our study, we investigate the impact of different parameters, notably: trial duration, feature type, feature combination and anxiety levels number. The system is evaluated using our own database containing recorded Electroencephalogram (EEG) signals from 23 participants during anxiety elicitation by means of face-to-face psychological stimuli. EEG signals were captured with an Emotiv Epoc headset as a cost-efficient wireless wearable equipment. Two labeling methods are used and results are presented accordingly. Our findings showed that anxiety is well elicited in 1 s. For Self Assessment Manikan SAM-based detection, Stacked Sparse Autoencoder (SSAE) with different type of features achieves 83.50% and 74.60% for 2 and 4 anxiety levels detection, respectively. Results are improved using the Hamilton-based method. We obtained a rate of 86.7% for 4 levels detection using SSAE. The presented results prove the benefits of the use of a low-cost EEG headset instead of medical non-wireless devices and create a starting point for new researches in the field of anxiety detection.

焦虑不仅会影响人的能力和行为，还会影响生产力和生活质量。它被认为是抑郁和自杀的主要原因。专家凭借其获得的认知和技能可以发现焦虑状态。需要执行焦虑检测的复杂任务的非侵入性可靠技术。在我们的研究中，我们调查了不同参数的影响，特别是：试验持续时间，特征类型，特征组合和焦虑水平数。使用我们自己的数据库对系统进行评估，该数据库包含通过面对面心理刺激在焦虑诱发期间记录的来自23名参与者的脑电图（EEG）信号。使用Emotiv Epoc耳机将EEG信号捕获为具有成本效益的无线可穿戴设备。使用了两种标记方法，并相应地给出了结果。我们的发现表明，焦虑症在1 s内引起良好。对于基于Manikan SAM的自我评估，具有2种和4种焦虑水平检测的具有不同类型特征的堆叠式稀疏自动编码器（SSAE）分别达到83.50％和74.60％。使用基于Hamilton的方法可以改善结果。我们使用SSAE进行4级检测的比率为86.7％。提出的结果证明了使用低成本EEG头戴式耳机代替医疗非无线设备的好处，并为焦虑检测领域的新研究创造了起点。50％和74.60％分别用于2级和4级焦虑水平检测。使用基于Hamilton的方法可以改善结果。我们使用SSAE进行4级检测的比率为86.7％。提出的结果证明了使用低成本EEG头戴式耳机代替医疗非无线设备的好处，并为焦虑检测领域的新研究创造了起点。50％和74.60％分别用于2级和4级焦虑水平检测。使用基于Hamilton的方法可以改善结果。我们使用SSAE进行4级检测的比率为86.7％。提出的结果证明了使用低成本EEG头戴式耳机代替医疗非无线设备的好处，并为焦虑检测领域的新研究创造了起点。