Signal Processing Techniques for Data Analysis in Telerehabilitation: Intelligent Remote Rehabilitation Monitoring Enhancement

In recent years, ICT and IOT devices have been employed to monitor and assist with patients’ rehabilitation, as well as to analyze their conditions and create and update individualized care plans. Additionally, they promote continuity of care by allowing a patient to continue receiving supervision from a multidisciplinary team even after being released from the hospital. Virtual reality and exergames are further ICT-enabled technologies that have shown strong potential in the treatment of cognitive and motor impairments. The implementation of the ReMoVES telerehabilitation platform in different situations is the focus of the current thesis. In order to extract the key features and examine the statistical significance between the patient and healthy groups, the main contribution of the research activity is to offer a method for evaluating a subject’s rehabilitation efforts while giving special attention to the pre-processing of the multidimensional signals obtained during rehabilitation sessions. In addition, there will be a proposal, description, and application of a systematic protocol for signal processing and data analysis for specific clinical scenarios.