An intelligent data filtering scheme for real time monitoring of physiological traits

This paper illustrates a real time monitoring system to examine psychological behaviors over wireless networks and recommends a generic filter library for the system. Our goal is to develop “PsychoFIZZ”—a Python source project that communicates with multiple Digital Sample Units (DSUs) by filtering raw data and
interpreting the data. The new filtering scheme should be able to work in coordination with the current monitoring system and our experiment results show that the library enhances the performance of the monitoring system.