DoMoMEA: a Home-Based Telerehabilitation System for Stroke Patients
After a cerebral stroke, survivors need to follow a neurorehabilitation program including exercises to be executed under a therapist's supervision or autonomously. Technological solutions are needed to support the early discharge of the patients just after the primary hospital treatments, by st...
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Published in | 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2020; pp. 5773 - 5776 |
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Main Authors | , , , , , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.07.2020
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Subjects | |
Online Access | Get full text |
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Summary: | After a cerebral stroke, survivors need to follow a neurorehabilitation program including exercises to be executed under a therapist's supervision or autonomously. Technological solutions are needed to support the early discharge of the patients just after the primary hospital treatments, by still providing an adequate level of rehabilitation. The DoMoMEA Project proposes a fully-wearable m-health solution able to administer a neurorehabilitation therapy in the patient's home or every other place established by the patient for a rehabilitation session. The exploitation of magneto-inertial measurement units only, wirelessly connected to an Android-operated device, provides robustness to different operating conditions and immunity to optical occlusion problems, compared to RGB-D cameras. Patients' engagement is fostered by the exploitation of the exergame version of the ten rehabilitation exercises, implemented in Unity 3D. Store-and-forward telemonitoring features, supported by cloud-based storage and by a web application accessible from anywhere by medical personnel and patients, enable constant transparent monitoring of the rehabilitation progresses. The clinical trial of the DoMoMEA telerehabilitation system will involve 40 post-stroke patients with mild impairment and will start as soon as the restrictions due to the COVID-19 pandemic will allow to enroll patients. |
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ISSN: | 1558-4615 2694-0604 |
DOI: | 10.1109/EMBC44109.2020.9175742 |