A Wearable Multi-physiological Parameter Acquisition System And The Application In Motion States

With the improvement of quality of life,more attention is paid to health.There are many factors affecting human health in our daily life,such as diseases and emotion.Human parameters have been used for health monitoring in more and more studies.Among these parameters,electrodermal activity signal and movement signal play an important role.Electrodermal activity refers to the change of skin electrical conductivity,which is applied to affective computing,disease monitoring and other aspects.Movement signals,such as acceleration and angular velocity,are often used in the field of sports or health monitoring.Physiological signals are regulated by sympathetic and parasympathetic nervous systems in the autonomic nervous system,which can objectively reflect the physiological state of the body and is significant in the judgment of diseases,emotions and other states.However,the change of autonomic sympathetic nerve caused by energy consumption in motion states has a great impact on physiological signals.This makes it difficult to record physiological signals associated with emotion or disease.In addition,most of the signal acquisition devices are complex and inconvenient.As a result,research on health monitoring and affective computing is basically limited to the laboratory set,and there are few related studies in normal daily life,especially in motion states.In view of the above problems concerning the acquisition device and experimental design,in this study,we developed a wearable multiphysiological parameter acquisition system,recording electrodermal activity,heart rate,skin temperature,acceleration and angular velocity signals,to innovatively study the change of physiological signals under motion states.We found that the electrodermal activity signal is positively correlated with energy expenditure in motion states.The more intense the movement is,the faster the electrodermal activity signal changes and vice versa.This study can help analyze the impact of physical movements on physiological parameters during the monitoring of human,and may be applied to the health monitoring and affective computing in people's daily life in the future.