Advances of cardiac state-inducing prototype and design of GUI to anatomize cardiac signal for ascertaining psychological working competence

Highlights

• Cardiac state-inducing prototype to measure ECG signal form human body has been advanced in the first stage of the work.

• A GUI based on MATLAB platform has been designed in order to analysis the obtained signal and extract premeditated features helpful for ascertaining psychological competence of the participants.

• Signal processing and feature extractions have been done in three stages

  • Pre-processing stage

    • R-wave detection

    • Heart rate variability analysis

  • Signal processing and feature extractions

    • Linear analysis

    • Non-linear analysis

    • Statistical analysis

  • Time-frequency analysis

• Parameters found after signal processing and analysis helps defining the bodies hormonal, physical and subsequently psychological changes in response to the environmental changes they are going through.

• Anatomization of all the early mentioned processes helps reach to ascertain psychological competence of the participants.

• Result of determined psychological competence of the participants has been validated analyzing the result of skill-based mathematical test and the outcome of the GUI report.

Abstract

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