journal article·2022-04-18Open access

Performance Index for in Home Assessment of Motion Abilities in Ataxia Telangiectasia: A Pilot Study

M. El Arayshi, C. M. Verrelli, G. Saggio, M. Iosa, A. E. Gentile, L. Chessa, M. Ruggieri, A. Polizzi

Applied Sciences· Volume 12· Issue 8

Abstract

Background. It has been shown in the very recent literature that human walking generates rhythmic motor patterns with hidden time harmonic structures that are represented (at the subject’s comfortable speed) by the occurrence of the golden ratio as the the ratio of the durations of specific walking gait subphases. Such harmonic proportions may be affected—partially or even totally destroyed—by several neurological and/or systemic disorders, thus drastically reducing the smooth, graceful, and melodic flow of movements and altering gait self-similarities. Aim. In this paper we aim at, preliminarily, showing the reliability of a technologically assisted methodology—performed with an easy to use wearable motion capture system—for the evaluation of motion abilities in Ataxia-Telangiectasia (AT), a rare infantile onset neurodegenerative disorder, whose typical neurological manifestations include progressive gait unbalance and the disturbance of motor coordination. Methods. Such an experimental methodology relies, for the first time, on the most recent accurate and objective outcome measures of gait recursivity and harmonicity and symmetry and double support subphase consistency, applied to three AT patients with different ranges of AT severity. Results. The quantification of the level of the distortions of harmonic temporal proportions is shown to include the qualitative evaluations of the three AT patients provided by clinicians. Conclusions. Easy to use wearable motion capture systems might be used to evaluate AT motion abilities through recursivity and harmonicity and symmetry (quantitative) outcome measures.
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Research context

OpenAlex topics: Genetic Neurodegenerative Diseases · Neurological disorders and treatments · Neuroscience and Neuropharmacology Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electronic Engineering Department, University of Rome Tor Vergata, 00133 Rome, Italy

Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy

IRCCS Santa Lucia Foundation, 00179 Rome, Italy

National Centre for Rare Diseases, Istituto Superiore di Sanità, 00162 Rome, Italy

Department of Clinical and Molecular Medicine, Sapienza University Foundation, 00185 Rome, Italy

Unit of Rare Diseases of the Nervous System in Childhood, Department of Clinical and Experimental Medicine, University of Catania, 95131 Catania, Italy

Department of Educational Science, University of Catania, 95131 Catania, Italy

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