A Cloud-Based Training And Evaluation System For Facial Paralysis Rehabilitation

Abstract

Information and communication technologies (ICT) have shown its impact on medical research over last few years. Big data analysis is adopted in many medical research applications including rehabilitation after surgery. In the facial paralysis rehabilitation training progresses, traditional training processes require huge efforts from both patients and doctors. With increasing number of patients and limited resources offered by hospitals, assistance from ICT are urgently needed. In this paper, we present a cloud-based training and analysis system for facial paralysis patients and physicians that provides rehabilitation training, automatic progress review and result evaluation. A training client is developed to provide rehabilitation training as well as data collection. In addition, training results are analyzed by the cloud platform using machine learning methodologies. The cloud platform provides the automatic evaluation of rehabilitation progresses based on both feedback from training data set and input from physicians.