Physiological signal processing in heart rate variability measurement: A focus on spectral analysis

Abstract

Feelings and emotions are significant determinants of the behavior of an individual. Human emotions can be established and recognized through several approaches, such as facial images, gesture, neuroimaging methods, and psychological signals [1]. The human body produces many physiological signals. These physiological signals can be categorized into eight major groups; the flow of body fluids, pressure, dimensions (e.g., imaging), biopotential, temperature, impendence, and chemical concentration and composition. Due to the importance of these signals in the human body, it is of great significance that these signals be accessible for monitoring [2].