Home-based telerehabilitation technologies can support the long-term rehabilitation needs of post-stroke patients. This work describes an Android-based wearable system for telerehabilitation (DoMoMEA), which engages such patients in a full-body customized neuromotor rehabilitation protocol. DoMoMEA features seven inertial units and five force sensors, which capture patient’s body posture, movements, and interactions with a non-immersive virtual reality environment, providing real time scores, motivational feedback, and online automatic corrections for performance errors. Clinically relevant parameters can be collected and sent to a remote server where they can be retrieved by a physiotherapist through a dedicated web application, according to a store-and-forward telemedicine approach. Clinicians can also personalize the training settings to ensure a high level of engagement and challenge for patients, based on their residual motor abilities, needs and progress. Preliminary tests performed on 11 healthy elderly volunteers revealed a high usability of the system (82 ± 6 points in the System Usability Scale questionnaire). Furthermore, the system was presented to experienced physiatrists and physiotherapists, who provided their assessment by a semi-structured interview. The evidence underscored the usefulness of DoMoMEA not only at home, but also in daily clinical practice.
A User-Friendly Wearable Telerehabilitation System Based on Neuromotor Training for Mild Post-Stroke Patients: The DoMoMEA System / Zedda, A.; Caruso, M.; Bertuletti, S.; Baldazzi, G.; Sedda, G.; Spanu, A.; Riboni, D.; Pibiri, A.; Monticone, M.; Cereatti, A.; Pani, D.. - In: IEEE ACCESS. - ISSN 2169-3536. - 13:(2025), pp. 122900-122913. [10.1109/ACCESS.2025.3587614]
A User-Friendly Wearable Telerehabilitation System Based on Neuromotor Training for Mild Post-Stroke Patients: The DoMoMEA System
M. Caruso;S. Bertuletti;A. Cereatti;
2025
Abstract
Home-based telerehabilitation technologies can support the long-term rehabilitation needs of post-stroke patients. This work describes an Android-based wearable system for telerehabilitation (DoMoMEA), which engages such patients in a full-body customized neuromotor rehabilitation protocol. DoMoMEA features seven inertial units and five force sensors, which capture patient’s body posture, movements, and interactions with a non-immersive virtual reality environment, providing real time scores, motivational feedback, and online automatic corrections for performance errors. Clinically relevant parameters can be collected and sent to a remote server where they can be retrieved by a physiotherapist through a dedicated web application, according to a store-and-forward telemedicine approach. Clinicians can also personalize the training settings to ensure a high level of engagement and challenge for patients, based on their residual motor abilities, needs and progress. Preliminary tests performed on 11 healthy elderly volunteers revealed a high usability of the system (82 ± 6 points in the System Usability Scale questionnaire). Furthermore, the system was presented to experienced physiatrists and physiotherapists, who provided their assessment by a semi-structured interview. The evidence underscored the usefulness of DoMoMEA not only at home, but also in daily clinical practice.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3002049