The contemporary international pandemic proved that a flexible approach towards work, trade and healthcare is not only favorable but a must. Hence, the devices enabling home‐rehabilitation became one of the urgent needs of the medical market. The following overview is a part of an R&D project aimed at designing an exoskeleton and developing methods enabling effective home rehabilitation. It contains a comparison of current devices in terms of their kinematics, applications, weights, sizes, and integration with selected ICT technologies. The data is analyzed regarding conclusions from qualitative research, based on in‐depth interviews with physiotherapists and questionnaires organized beforehand. The investigation assesses whether commercial and developed devices enable feedback from a patient by all possible means; hence, if they could allow effective telerehabilitation. Moreover, their capabilities of increasing engagement and accelerating improvements by supervising techniques and measuring biomechanical parameters are evaluated. These outcomes are a base to set the constraints and requirements before designing an exoskeleton dedicated to home treatment.
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.
In this paper we present the results of a two-year study aimed at developing a full-fledged computer environment supporting post-stroke rehabilitation. The system was designed by a team of computer scientists, psychologists and physiotherapists. It adopts a holistic approach to rehabilitation. In order to extend the rehabilitation process, the applied methods include a remote rehabilitation stage which can be carried out of at the patient’s home. The paper presents a distributed system architecture as well as results achieved by patients prior to and following a three-month therapy based on the presented system.
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