IEEE Int Conf Rehabil Robot
July 2022
This paper presents our approach to predicting future error-related events in a robot-mediated gamified physical training activity for stroke patients. The ability to predict future error under such conditions suggests the existence of distinguishable features and separated class characteristics between the casual gameplay state and error prune state in the data. Identifying such features provides valuable insight to creating individually tailored, adaptive games as well as possible ways to increase rehabilitation success by patients.
View Article and Find Full Text PDFIntroduction: Attitude about physical restriction has been changing through history. It has always been multidimensional approach, including ethic, medical and judicial aspect.
Objective: The main aim was establishing distribution of physical restrictions of patients for the following years: 2006/07, 2007/08, 2008/09, 2009/10 and 2010/11.