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A Proof of Concept Combined Using Mixed Reality for Personalized Neurorehabilitation of Cerebellar Ataxic Patients

Academic Article
Publication Date:
2023
Short description:
A Proof of Concept Combined Using Mixed Reality for Personalized Neurorehabilitation of Cerebellar Ataxic Patients / Franzò, M., Pica, A., Pascucci, S., Serrao, M., Marinozzi, F., Bini, F.. - In: SENSORS. - ISSN 1424-8220. - 23:3(2023). [10.3390/s23031680]
abstract:
Background: Guidelines for degenerative cerebellar ataxia neurorehabilitation suggest intensive coordinative training based on physiotherapeutic exercises. Scientific studies demonstrate virtual exergaming therapeutic value. However, patient-based personalization, post processing analyses and specific audio-visual feedbacks are not provided. This paper presents a wearable motion tracking system with recording and playback features. This system has been specifically designed for ataxic patients, for upper limbs coordination studies with the aim to retrain movement in a neurorehabilitation setting. Suggestions from neurologists and ataxia patients were considered to overcome the shortcomings of virtual systems and implement exergaming. Methods: The system consists of the mixed-reality headset Hololens2 and a proprietary exergaming implemented in Unity. Hololens2 can track and save upper limb parameters, head position and gaze direction in runtime. Results: Data collected from a healthy subject are reported to demonstrate features and outputs of the system. Conclusions: Although further improvements and validations are needed, the system meets the needs of a dynamic patient-based exergaming for patients with cerebellar ataxia. Compared with existing solutions, the mixed-reality system is designed to provide an effective and safe therapeutic exergaming that supports both primary and secondary goals of an exergaming: what a patient should do and how patient actions should be performed.
Iris type:
1.1 Articolo in rivista
Keywords:
ataxia; exergaming; health monitoring; inertial measurement unit; mixed reality; motion capture; rehabilitation engineering
List of contributors:
Franzò, Michela; Pica, Andrada; Pascucci, Simona; Serrao, Mariano; Marinozzi, Franco; Bini, Fabiano
Authors of the University:
PICA Andrada
Handle:
https://iris.uniss.it/handle/11388/355529
Published in:
SENSORS
Journal
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