A Proof of Concept Combined Using Mixed Reality for Personalized Neurorehabilitation of Cerebellar Ataxic Patients
Overview
Affiliations
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.
Lobo P, Morais P, Murray P, Vilaca J Sensors (Basel). 2025; 24(24.
PMID: 39771710 PMC: 11679760. DOI: 10.3390/s24247973.
Mixed Reality-Based Smart Occupational Therapy Personalized Protocol for Cerebellar Ataxic Patients.
Franzo M, Marinozzi F, Finti A, Lattao M, Trabassi D, Castiglia S Brain Sci. 2024; 14(10).
PMID: 39452035 PMC: 11506775. DOI: 10.3390/brainsci14101023.
Virtual reality assessment of reaching accuracy in patients with recent cerebellar stroke.
Du K, Benavides L, Isenstein E, Tadin D, Busza A BMC Digit Health. 2024; 2(1):50.
PMID: 39139706 PMC: 11317447. DOI: 10.1186/s44247-024-00107-7.
Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?.
Lastrucci A, Wandael Y, Barra A, Ricci R, Maccioni G, Pirrera A Diagnostics (Basel). 2024; 14(13).
PMID: 39001224 PMC: 11240696. DOI: 10.3390/diagnostics14131333.