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A rehabilitation system based on robotic gloves, mobile apps, and non-relational databases for patients with partial paralysis

Abstract:

People suffering from partial paralysis of the body or extremities are mainly due to a stroke, the way that people can regain their lifestyle is through therapy, the use of soft robotic gloves for hand rehabilitation, offers many advantages to therapists and patients. In this document we propose a hand rehabilitation system consisting of a robotic glove that performs the manual grip movement and a multiplatform mobile application for iOS and Android called Re-Hand, the robotic glove was designed with portability in mind. Then, a dynamic and static analysis was performed in the ANSYS Workbench 2019 software to validate the design. This system interacts with the patient and the therapist through the application, developed in Flutter and integrated with Firebase. It also digitizes patient information and stores the history of exercises performed, the therapist can generate reports and view the progress of the patient. This research is an iteration of the previously developed hand rehabilitation system.