活力
能力(人力资源)
自主神经系统
计算机科学
心率变异性
MATLAB语言
人工智能
神经科学
心理学
心率
医学
内科学
血压
社会心理学
操作系统
物理
量子力学
作者
Kusum Tara,Md. Hasibul Islam
标识
DOI:10.1016/j.sbsr.2020.100376
摘要
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
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