A Pilot Study on Mixed-Reality Approaches for Detecting Upper-Limb Dysfunction in Multiple Sclerosis: Insights on Cerebellar Tremor DOI Creative Commons

Etty Sabatino,

Miriam Moschetta,

Andrea Lucaroni

et al.

Virtual Worlds, Journal Year: 2025, Volume and Issue: 4(1), P. 4 - 4

Published: Jan. 30, 2025

The assessment and rehabilitation of upper-limb functionality are crucial for addressing motor disorders in individuals with multiple sclerosis (PwMS). Traditional methods often lack the sensitivity to quantify subtle impairments, cerebellar tremor diagnosis typically based on subjective visual inspections by clinicians. This study explored feasibility using Microsoft HoloLens2 motion capture assess function PwMS. Using ROCKapp application, kinematic metrics such as movement quality oculomotor coordination were recorded during pick-and-place tasks. Data from twelve healthy served benchmarks, while nine PwMS, including three one ataxia, tested evaluate tool’s diagnostic potential. Clustering algorithms applied data classified participants into distinct groups, showing that PwMS without symptoms sometimes displayed behavior similar controls. However, those conditions, like more easily differentiated. While shows promise detecting further refinement is required improve overt symptoms. Despite these challenges, this approach offers potential personalized rehabilitation, providing detailed feedback could interventions enhance life In conclusion, findings highlight mixed-reality tools refine accuracy, suggesting future studies validate their integration clinical programs.

Language: Английский

A Pilot Study on Mixed-Reality Approaches for Detecting Upper-Limb Dysfunction in Multiple Sclerosis: Insights on Cerebellar Tremor DOI Creative Commons

Etty Sabatino,

Miriam Moschetta,

Andrea Lucaroni

et al.

Virtual Worlds, Journal Year: 2025, Volume and Issue: 4(1), P. 4 - 4

Published: Jan. 30, 2025

The assessment and rehabilitation of upper-limb functionality are crucial for addressing motor disorders in individuals with multiple sclerosis (PwMS). Traditional methods often lack the sensitivity to quantify subtle impairments, cerebellar tremor diagnosis typically based on subjective visual inspections by clinicians. This study explored feasibility using Microsoft HoloLens2 motion capture assess function PwMS. Using ROCKapp application, kinematic metrics such as movement quality oculomotor coordination were recorded during pick-and-place tasks. Data from twelve healthy served benchmarks, while nine PwMS, including three one ataxia, tested evaluate tool’s diagnostic potential. Clustering algorithms applied data classified participants into distinct groups, showing that PwMS without symptoms sometimes displayed behavior similar controls. However, those conditions, like more easily differentiated. While shows promise detecting further refinement is required improve overt symptoms. Despite these challenges, this approach offers potential personalized rehabilitation, providing detailed feedback could interventions enhance life In conclusion, findings highlight mixed-reality tools refine accuracy, suggesting future studies validate their integration clinical programs.

Language: Английский

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