Physiological pattern of human state emotion based on ECG and pulse sensor

It has been known widely that emotion effects the human being physically and phsycologically, whether it is a positive or the negative emotion. With the develpoment of e-Health sensors technology nowadays, those human emotions can be described physiologically so that some negative impacts of negative emotions then can be avoided through monitoring. This study presents the physiological data of 6 human state emotions (happy, fear, sad, angry, surprise, disgust) in term of timing of onset, offset and the behaviour of physiological data due to emotion stimulation. The result of this study will be used as the basic information in term of physiological pattern in developing the early warning sistem for patient with chronical diseases. Two e-Health vital sign sensors were used to record the physiological data during video stimulation, ECG and pulse sensors. Six different videos for 6 different emotions stimulation were used to trigger the participant’s emotion. 30 healthy participants were involved in this experiment. Some features from both sensors such as mean of R-R interval during baseline and stimulation, onset and offset timing were presented. Sad emotion showed the highest mean of heart rate activity during stimulation compared to other emotion, while happy emotion can lower human heart beat during stimulation.