Steady-state visual evoked potential-based real-time BCI for smart appliance control

Abstract

Human body physiology is regulated through the central neural control (CNS) which takes signal from the respiratory system and ambiance which signifies atmospheric pressure, temperature and various gases in the environment. The central nervous system then controls the metabolic control of various organs through the afferent nerves and the efferent nerves reflecting the various reflex of the organs back to the CNS, which regulates the cardiovascular system (CVS) for the stroke volume (SV) of the blood and heart rate (HR). The SV and HR collectively synthesize the cardiac output of the heart balancing the body for the coherence or non-coherence states. We have defined and simulated here in this paper the Neural Mass Model (NMM), which is one of the component which feeds the CNS and controls the cardiovascular system for the human blood pressure (ABP) and heart rate. We have defined and simulated arterial blood pressure model, i.e., Windkessel model; describing the arterial blood pressure for the particular input volume of the blood and ECG model for the computing heart rate and heart rate variability (HRV). The integration of CNS, Windkessel and EEG model has thrown light on some aspects of sympathetic and parasympathetics of ANS for further improvisation and experimentations.