Cardiac dynamism changes with the various intellectual activities which affect the brain's performance indirectly. Electrocardiogram (ECG) signal displays the variation of cardiac dynamism that has been analyzed in this work to extract the psychological competence of the young students. A cardiac state-inducing prototype and MATLAB based graphical-user interface (GUI) have been developed, implemented, and vindicated for cardiac data acquisition and processing respectively. Comprehensive investigations on linear, non-linear, statistical, and time-frequency analysis of cardiac signal as well as on their parameters have been carried out in order to ascertain the psychological competence of the students. Continuity of contours defining the location of R-waves in scalogram plot, appearances of sharp peaks at brainstorming state in three-dimensional spectrogram plot, and the dominance of sympathetic nervous system (SNS) and parasympathetic nervous system (PNS) activity for balancing autonomic nervous system (ANS) in parameters like standard deviation of NN intervals, stress index, power, and index of centralization are the key factors have been anatomized for a final appraisal. The trustworthiness of the ascertaining approach has been validated by further analysis of the GUI's report and the evaluated individuals' scores in the mathematical test

心脏动力随着各种智力活动而改变，这些活动间接影响大脑的表现。心电图（ECG）信号显示了心脏动力的变化，这项工作已经过分析，以提取年轻学生的心理能力。分别开发，实现和证明了一种引起心脏状态的原型和基于MATLAB的图形用户界面（GUI），用于心脏数据的采集和处理。为了确定学生的心理能力，已经对心脏信号的线性，非线性，统计和时频分析及其参数进行了综合研究。轮廓的连续性定义了R波在比例尺图中的位置，三维频谱图图中在集思广益状态下出现尖锐的峰，并以交感神经系统（SNS）和副交感神经系统（PNS）的活动优势来平衡自主神经系统（ANS）的参数，例如NN间隔，压力指标，能力和集中度指标是最终评估的关键因素。通过进一步分析GUI报告和数学测试中被评估者的分数，确定方法的可信赖性得到了验证。集中度和索引是最终评估的关键因素。通过进一步分析GUI报告和数学测试中被评估者的分数，确定方法的可信赖性得到了验证。集中度和索引是最终评估的关键因素。通过进一步分析GUI报告和数学测试中被评估者的分数，确定方法的可信赖性得到了验证。