Literature DB >> 28858779

Smoothness of gait detects early alterations of walking in persons with multiple sclerosis without disability.

Massimiliano Pau1, Serena Mandaresu2, Giuseppina Pilloni3, Micaela Porta2, Giancarlo Coghe4, Maria Giovanna Marrosu4, Eleonora Cocco4.   

Abstract

In people with Multiple Sclerosis (pwMS) with little or no signs of disability, early detection of walking impairments represents a challenging issue, as simple gait metrics (e.g. speed, cadence, stride length, etc.) may not significantly differ from those of healthy individuals. In this study, we aimed to assess the existence of possible differences in spatial-temporal parameters and smoothness of gait measures (assessed through Harmonic Ratio, HR) obtained from trunk accelerations between 50pwMS without disability (Expanded Disability Status Scale score =1) and 50 age-matched healthy controls. The results show no differences in terms of gait velocity, stride length, stance/swing and double support phases duration, while HR in the direction of motion was significantly lower in pwMS (2.92 vs. 3.67, p<0.001), thus indicating a less smooth gait. The study of trunk accelerations through calculation of HR represents a fast, non-intrusive technique that allows early identification of anomalies in gait patterns of pwMS in absence of disability.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Accelerometer; Gait; Harmonic ratio; Low disability; Spatial-temporal parameters

Mesh:

Year:  2017        PMID: 28858779     DOI: 10.1016/j.gaitpost.2017.08.023

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  14 in total

Review 1.  Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Authors:  Mikaela L Frechette; Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Ryan S McGinnis; Jacob J Sosnoff
Journal:  Curr Neurol Neurosci Rep       Date:  2019-09-04       Impact factor: 5.081

Review 2.  Gait metrics analysis utilizing single-point inertial measurement units: a systematic review.

Authors:  Ralph Jasper Mobbs; Jordan Perring; Suresh Mahendra Raj; Monish Maharaj; Nicole Kah Mun Yoong; Luke Wicent Sy; Rannulu Dineth Fonseka; Pragadesh Natarajan; Wen Jie Choy
Journal:  Mhealth       Date:  2022-01-20

3.  Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis.

Authors:  Lorenza Angelini; Ilaria Carpinella; Davide Cattaneo; Maurizio Ferrarin; Elisa Gervasoni; Basil Sharrack; David Paling; Krishnan Padmakumari Sivaraman Nair; Claudia Mazzà
Journal:  Sensors (Basel)       Date:  2019-12-21       Impact factor: 3.576

4.  Smoothness of Gait in Healthy and Cognitively Impaired Individuals: A Study on Italian Elderly Using Wearable Inertial Sensor.

Authors:  Massimiliano Pau; Ilaria Mulas; Valeria Putzu; Gesuina Asoni; Daniela Viale; Irene Mameli; Bruno Leban; Gilles Allali
Journal:  Sensors (Basel)       Date:  2020-06-24       Impact factor: 3.576

5.  Functional Electrical Stimulation for Foot Drop in Post-Stroke People: Quantitative Effects on Step-to-Step Symmetry of Gait Using a Wearable Inertial Sensor.

Authors:  Giulia Schifino; Veronica Cimolin; Massimiliano Pau; Maira Jaqueline da Cunha; Bruno Leban; Micaela Porta; Manuela Galli; Aline Souza Pagnussat
Journal:  Sensors (Basel)       Date:  2021-01-29       Impact factor: 3.576

6.  An Efficient Automatic Gait Anomaly Detection Method Based on Semisupervised Clustering.

Authors:  Zhenlun Yang
Journal:  Comput Intell Neurosci       Date:  2021-02-15

7.  Walking With Horizontal Head Turns Is Impaired in Persons With Early-Stage Multiple Sclerosis Showing Normal Locomotion.

Authors:  Ilaria Carpinella; Elisa Gervasoni; Denise Anastasi; Rachele Di Giovanni; Andrea Tacchino; Giampaolo Brichetto; Paolo Confalonieri; Claudio Solaro; Marco Rovaris; Maurizio Ferrarin; Davide Cattaneo
Journal:  Front Neurol       Date:  2022-01-28       Impact factor: 4.003

8.  Symmetry of Gait in Underweight, Normal and Overweight Children and Adolescents.

Authors:  Veronica Cimolin; Nicola Cau; Alessandro Sartorio; Paolo Capodaglio; Manuela Galli; Gabriella Tringali; Bruno Leban; Micaela Porta; Massimiliano Pau
Journal:  Sensors (Basel)       Date:  2019-05-02       Impact factor: 3.576

9.  Exploring Risk of Falls and Dynamic Unbalance in Cerebellar Ataxia by Inertial Sensor Assessment.

Authors:  Pietro Caliandro; Carmela Conte; Chiara Iacovelli; Antonella Tatarelli; Stefano Filippo Castiglia; Giuseppe Reale; Mariano Serrao
Journal:  Sensors (Basel)       Date:  2019-12-17       Impact factor: 3.576

10.  The Dresden Protocol for Multidimensional Walking Assessment (DMWA) in Clinical Practice.

Authors:  Katrin Trentzsch; Marie Luise Weidemann; Charlotte Torp; Hernan Inojosa; Maria Scholz; Rocco Haase; Dirk Schriefer; Katja Akgün; Tjalf Ziemssen
Journal:  Front Neurosci       Date:  2020-10-26       Impact factor: 4.677

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