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The Danger of Walking with Socks: Evidence from Kinematic Analysis in People with Progressive Multiple Sclerosis

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2020 Nov 3
PMID 33138057
Citations 3
Authors
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Abstract

Multiple sclerosis (MS) is characterized by gait impairments and severely impacts the quality of life. Technological advances in biomechanics offer objective assessments of gait disabilities in clinical settings. Here we employed wearable sensors to measure electromyography (EMG) and body acceleration during walking and to quantify the altered gait pattern between people with progressive MS (PwPMS) and healthy controls (HCs). Forty consecutive patients attending our department as in-patients were examined together with fifteen healthy controls. All subjects performed the timed 10 min walking test (T10MW) using a wearable accelerator and 8 electrodes attached to bilateral thighs and legs so that body acceleration and EMG activity were recorded. The T10MWs were recorded under three conditions: standard (wearing shoes), reduced grip (wearing socks) and increased cognitive load (backward-counting dual-task). PwPMS showed worse kinematics of gait and increased muscle coactivation than controls at both the thigh and leg levels. Both reduced grip and increased cognitive load caused a reduction in the cadence and velocity of the T10MW, which were correlated with one another. A higher coactivation index at the thigh level of the more affected side was positively correlated with the time of the T10MW (r = 0.5, < 0.01), Expanded Disability Status Scale (EDSS) (r = 0.4, < 0.05), and negatively correlated with the cadence (r = -0.6, < 0.001). Our results suggest that excessive coactivation at the thigh level is the major determinant of the gait performance as the disease progresses. Moreover, demanding walking conditions do not influence gait in controls but deteriorate walking performances in PwPMS, thus those conditions should be prevented during hospital examinations as well as in homecare environments.

Citing Articles

Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.

Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler C J Med Internet Res. 2023; 25:e44428.

PMID: 37498655 PMC: 10415952. DOI: 10.2196/44428.


Intensive Neurorehabilitation and Gait Improvement in Progressive Multiple Sclerosis: Clinical, Kinematic and Electromyographic Analysis.

Huang S, Guerrieri S, Dalla Costa G, Pisa M, Leccabue G, Gregoris L Brain Sci. 2022; 12(2).

PMID: 35204021 PMC: 8870152. DOI: 10.3390/brainsci12020258.


Smart Sensors for Healthcare and Medical Applications.

Formica D, Schena E Sensors (Basel). 2021; 21(2).

PMID: 33466591 PMC: 7828709. DOI: 10.3390/s21020543.

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