Next Article in Journal
A New Measurement Method for High Voltages Applied to an Ion Trap Generated by an RF Resonator
Next Article in Special Issue
Evaluation of Prolonged Walking in Persons with Multiple Sclerosis: Reliability of the Spatio-Temporal Walking Variables during the 6-Minute Walk Test
Previous Article in Journal
Development of a Submillimetric GNSS-Based Distance Meter for Length Metrology
 
 
Article

Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich’s Ataxia

1
Gait and Balance Academy, ProtoKinetics, Havertown, PA 19083, USA
2
Laboratory Performance, Santé, Métrologie, Société (PSMS), UFR STAPS (University of Sport Sciences), 51100 Reims, France
3
Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
4
Department of Neurology, College of Medicine, University of Florida, Gainesville, FL 32610, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Jeffrey M. Hausdorff
Sensors 2021, 21(4), 1144; https://doi.org/10.3390/s21041144
Received: 14 December 2020 / Revised: 22 January 2021 / Accepted: 3 February 2021 / Published: 6 February 2021
To date, it has been challenging for clinicians and researchers alike to use the multiple outcome measures available to create a meaningful clinical picture and perform effective longitudinal follow-up. It has been found that instrumented gait analysis can provide information associated with a patient’s performance and help to remedy the shortcomings of the currently available outcome measures. The goal of this methodological article is to set the background and justify a new outcome measure inspired by the motor control theories to analyze gait using spatiotemporal parameters. The method is applied in a population of individuals living with Friedreich’s ataxia (FRDA), a neurodegenerative disease. The sample population consisted of 19 subjects, 11 to 65 years of age with FRDA, who either ambulated independently, with a cane, or with a rollator. Three scores based on the distance from healthy normative data were used: Organization Score, Variability Score, and an overall measurement, the Global Ambulation Score. The scores were then compared to the Scale for Assessment and Rating of Ataxia (SARA) Gait Score (SARA-GS), a clinical scale currently being used for gait analysis in FRDA. Organization Scores demonstrated a longitudinal deterioration in the gait characteristics from independent ambulators to those who ambulated with a rollator. Variability Scores mostly reflected dynamic instability, which became greater as the requirement of an ambulation aid or the switch from a cane to a rollator was imminent. The global value given by the Global Ambulation Score, which takes into consideration both the Organization Score, the Variability Score, and the level of assistive device, demonstrated a logarithmic relationship with the SARA-GS. Overall, these results highlight that both components introduced should be analyzed concurrently and suggest that the Global Ambulation Score may be a valuable outcome measure for longitudinal disease progression. View Full-Text
Keywords: organization; variability; walk ratio; gait scores; pressure walkway organization; variability; walk ratio; gait scores; pressure walkway
Show Figures

Figure 1

MDPI and ACS Style

Gouelle, A.; Norman, S.; Sharot, B.; Salabarria, S.; Subramony, S.; Corti, M. Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich’s Ataxia. Sensors 2021, 21, 1144. https://doi.org/10.3390/s21041144

AMA Style

Gouelle A, Norman S, Sharot B, Salabarria S, Subramony S, Corti M. Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich’s Ataxia. Sensors. 2021; 21(4):1144. https://doi.org/10.3390/s21041144

Chicago/Turabian Style

Gouelle, Arnaud, Samantha Norman, Bryanna Sharot, Stephanie Salabarria, Sub Subramony, and Manuela Corti. 2021. "Gauging Gait Disorders with a Method Inspired by Motor Control Theories: A Pilot Study in Friedreich’s Ataxia" Sensors 21, no. 4: 1144. https://doi.org/10.3390/s21041144

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop