Empirical modelling for dynamic visualization of ICU patient data streams

The visualization of data streams plays ail important role in diagnosing anomalies in the human body, particularly in Intensive Care Units (ICU). We propose an unconventional paradigm in computer science called Empirical Modelling that IS suitable for the combined visualization and exploration of biomedical data streams. Empirical Modelling for Dynamic Visualization (EMDV) provides a learning space for medical education by simulating the ICU patient data streams using web based technology. EMDV benefits from the principles of EM as building models based on observables, dependency and agency, which promotes flexibility and responsiveness in visualizing biomedical data streams. EMDV integrates biomedical signal from different tools into a single monitor. This allows the reduction of cognitive burden in exploring multiple monitors. Open-ended characteristic of EM environment that can enhance the experience of human-machine interaction is founded to be useful to be used as an education technology. The proposed model has been tested with different kinds of mobile devices. The results have clearly shown that the performance of visualization is largely based on the performance of the devices.