A Proof of Concept Combined Using Mixed Reality for Personalized Neurorehabilitation of Cerebellar Ataxic Patients
- PMID: 36772721
- PMCID: PMC9920853
- DOI: 10.3390/s23031680
A Proof of Concept Combined Using Mixed Reality for Personalized Neurorehabilitation of Cerebellar Ataxic Patients
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.
Keywords: ataxia; exergaming; health monitoring; inertial measurement unit; mixed reality; motion capture; rehabilitation engineering.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Moreira R., Alves J., Matias A., Santos C. Advances in Experimental Medicine and Biology. Volume 1170. Springer; Cham, Switzerland: 2019. Smart and Assistive Walker—ASBGo: Rehabilitation Robotics: A Smart–Walker to Assist Ataxic Patients; pp. 37–88. - PubMed
-
- Rinaldi M., Ranavolo A., Conforto S., Martino G., Draicchio F., Conte C., Varrecchia T., Bini F., Casali C., Pierelli F., et al. Increased Lower Limb Muscle Coactivation Reduces Gait Performance and Increases Metabolic Cost in Patients with Hereditary Spastic Paraparesis. Clin. Biomech. 2017;48:63–72. doi: 10.1016/j.clinbiomech.2017.07.013. - DOI - PubMed
-
- Bertoli M., Cereatti A., Croce U.D., Pica A., Bini F. Can MIMUs Positioned on the Ankles Provide a Reliable Detection and Characterization of U-Turns in Gait?; Proceedings of the MeMeA 2018-2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings; Rome, Italy. 11–13 June 2018; Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc.; 2018.
-
- Condino S., Turini G., Viglialoro R., Gesi M., Ferrari V. Wearable Augmented Reality Application for Shoulder Rehabilitation. Electronics. 2019;8:1178. doi: 10.3390/electronics8101178. - DOI
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