Intelligent Data Analysis for Individual Hypertensia Patient's State Monitoring and Prediction
С. А. Субботин, Galyna Tabunshchyk, Peter Arras, Daria Tabunshchyk, Eduard Trotsenko · 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) · 2021
The work is dealing with the task of the non-invasive monitoring and short-term prediction of the patient's condition without the participation of medical personnel. For the implementation are considered assistant robotics platforms. The model for the individual patient state monitoring and prediction is suggested by the authors. For the validation of the model there was used robot assistant TIMA.