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

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Feb 11
PMID 36772721
Authors
Affiliations
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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.

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References
1.
Son S, Lim K, Kim J, Lee C, Cho S, Yoo J . Comparing the Effects of Exoskeletal-Type Robot-Assisted Gait Training on Patients with Ataxic or Hemiplegic Stroke. Brain Sci. 2022; 12(9). PMC: 9497144. DOI: 10.3390/brainsci12091261. View

2.
Ilg W, Schatton C, Schicks J, Giese M, Schols L, Synofzik M . Video game-based coordinative training improves ataxia in children with degenerative ataxia. Neurology. 2012; 79(20):2056-60. DOI: 10.1212/WNL.0b013e3182749e67. View

3.
Araneo R, Bini F, Rinaldi A, Notargiacomo A, Pea M, Celozzi S . Thermal-electric model for piezoelectric ZnO nanowires. Nanotechnology. 2015; 26(26):265402. DOI: 10.1088/0957-4484/26/26/265402. View

4.
Morales Saute J, Donis K, Serrano-Munuera C, Genis D, Torres Ramirez L, Mazzetti P . Ataxia rating scales--psychometric profiles, natural history and their application in clinical trials. Cerebellum. 2011; 11(2):488-504. DOI: 10.1007/s12311-011-0316-8. View

5.
Feng H, Li C, Liu J, Wang L, Ma J, Li G . Virtual Reality Rehabilitation Versus Conventional Physical Therapy for Improving Balance and Gait in Parkinson's Disease Patients: A Randomized Controlled Trial. Med Sci Monit. 2019; 25:4186-4192. PMC: 6563647. DOI: 10.12659/MSM.916455. View