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A concept of detecting patient hazards during exoskeleton-aided remote home motor rehabilitation

100%

Wilk J. , Falkowski P.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2022

tom z. 197, t. 2

101-112

The paper presents a concept of detecting dangerous situations for the patient during exoskeleton-aided home remote rehabilitation. For this purpure, a literature review was conducted to define potential traumas with corresponding causes, measuring approaches and the method of modelling based on these two to assess the risk during treatment. The original concept is based on a numerically modelled digital twin of a patient and an exoskeleton. It consists of a multibody model of a skeletal system and the mechatronic device combined with the soft tissue advanced models. Moreover, the implementation of neural networks and biosignals tracking is suggested in order to predict hazards instead of just monitoring them in real-time. The presented solution can be created within the OpenSim environment. The advantages and challenges of this approach are also discussed.

The overview of challenges in detecting patients’ hazards during robot-aided remote home motor rehabilitation

80%

Wilk J. , Falkowski P. , Osiak T.

Journal of Automation Mobile Robotics and Intelligent Systems

2023

tom Vol. 17, No. 4

17--27

Minimally-supervised home rehabilitation has become an arising technological trend due to the shortages in medical staff. Implementing such requires providing advanced tools for automatic real-time safety monitoring. The paper presents an approach to designing the mentioned safety system based on measurements and modelling the interface between a patient’s musculoskeletal system and a rehabilitation device. The content covers the segmentation of patients regarding their health conditions and assigns them suitable measurement techniques. The defined groups are described by the hazards with which they are most endangered and their causes. Each case is correlated with the appropriate data type that may be used to detect potential risk. Moreover, a concept of using presented knowledge for tracking the safety of bones and soft tissues according to the biomechanical standards is included. The paper forms a set of guidelines for designing safety systems based on measurements for robot-aided home kinesiotherapy. It can be used to select an appropriate approach regarding a specific case; which will decrease costs and increase the accuracy of the designed tools.