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Le Roy A, Dubois F, Roche N, Brunel H, Bonnyaud C. Cautious Gait during Navigational Tasks in People with Hemiparesis: An Observational Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:4241. [PMID: 39001018 PMCID: PMC11244485 DOI: 10.3390/s24134241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/16/2024]
Abstract
Locomotor and balance disorders are major limitations for subjects with hemiparesis. The Timed Up and Go (TUG) test is a complex navigational task involving oriented walking and obstacle circumvention. We hypothesized that subjects with hemiparesis adopt a cautious gait during complex locomotor tasks. The primary aim was to compare spatio-temporal gait parameters, indicators of cautious gait, between the locomotor subtasks of the TUG (Go, Turn, Return) and a Straight-line walk in people with hemiparesis. Our secondary aim was to analyze the relationships between TUG performance and balance measures, compare spatio-temporal gait parameters between fallers and non-fallers, and identify the biomechanical determinants of TUG performance. Biomechanical parameters during the TUG and Straight-line walk were analyzed using a motion capture system. A repeated measures ANOVA and two stepwise ascending multiple regressions (with performance variables and biomechanical variables) were conducted. Gait speed, step length, and % single support phase (SSP) of the 29 participants were reduced during Turn compared to Go and Return and the Straight-line walk, and step width and % double support phase were increased. TUG performance was related to several balance measures. Turn performance (R2 = 63%) and Turn trajectory deviation followed by % SSP on the paretic side and the vertical center of mass velocity during Go (R2 = 71%) determined TUG performance time. People with hemiparesis adopt a cautious gait during complex navigation at the expense of performance.
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Affiliation(s)
- Albane Le Roy
- APHP, GHU Paris-Saclay, Raymond Poincaré Hospital, Physical Medicine and Rehabilitation Department, 92380 Garches, France
- IFMK Saint-Michel, 75015 Paris, France
| | - Fabien Dubois
- APHP, GHU Paris-Saclay, Raymond Poincaré Hospital, Motion Analysis Laboratory, Functional Explorations Department, 92380 Garches, France
- Université Paris-Saclay, UVSQ, Research Unit ERPHAN, 78000 Versailles, France
| | - Nicolas Roche
- APHP, GHU Paris-Saclay, Raymond Poincaré Hospital, Motion Analysis Laboratory, Functional Explorations Department, 92380 Garches, France
- Université Paris-Saclay, UVSQ, Inserm Unit 1179, END-ICAP Laboratory, 78000 Versailles, France
| | | | - Céline Bonnyaud
- IFMK Saint-Michel, 75015 Paris, France
- APHP, GHU Paris-Saclay, Raymond Poincaré Hospital, Motion Analysis Laboratory, Functional Explorations Department, 92380 Garches, France
- Université Paris-Saclay, UVSQ, Research Unit ERPHAN, 78000 Versailles, France
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Single M, Bruhin LC, Colombo A, Möri K, Gerber SM, Lahr J, Krack P, Klöppel S, Müri RM, Mosimann UP, Nef T. A Transferable Lidar-Based Method to Conduct Contactless Assessments of Gait Parameters in Diverse Home-like Environments. SENSORS (BASEL, SWITZERLAND) 2024; 24:1172. [PMID: 38400329 PMCID: PMC10893300 DOI: 10.3390/s24041172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024]
Abstract
Gait abnormalities in older adults are linked to increased risks of falls, institutionalization, and mortality, necessitating accurate and frequent gait assessments beyond traditional clinical settings. Current methods, such as pressure-sensitive walkways, often lack the continuous natural environment monitoring needed to understand an individual's gait fully during their daily activities. To address this gap, we present a Lidar-based method capable of unobtrusively and continuously tracking human leg movements in diverse home-like environments, aiming to match the accuracy of a clinical reference measurement system. We developed a calibration-free step extraction algorithm based on mathematical morphology to realize Lidar-based gait analysis. Clinical gait parameters of 45 healthy individuals were measured using Lidar and reference systems (a pressure-sensitive walkway and a video recording system). Each participant participated in three predefined ambulation experiments by walking over the walkway. We observed linear relationships with strong positive correlations (R2>0.9) between the values of the gait parameters (step and stride length, step and stride time, cadence, and velocity) measured with the Lidar sensors and the pressure-sensitive walkway reference system. Moreover, the lower and upper 95% confidence intervals of all gait parameters were tight. The proposed algorithm can accurately derive gait parameters from Lidar data captured in home-like environments, with a performance not significantly less accurate than clinical reference systems.
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Affiliation(s)
- Michael Single
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Lena C. Bruhin
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Aaron Colombo
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Kevin Möri
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Stephan M. Gerber
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Jacob Lahr
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3012 Bern, Switzerland; (J.L.); (S.K.)
| | - Paul Krack
- Department of Neurology, Inselspital, University Hospital Bern, University of Bern, 3012 Bern, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, 3012 Bern, Switzerland; (J.L.); (S.K.)
| | - René M. Müri
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Urs P. Mosimann
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
| | - Tobias Nef
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, 3012 Bern, Switzerland; (M.S.); (L.C.B.); (A.C.); (K.M.); (S.M.G.); (R.M.M.); (U.P.M.)
- Department of Neurology, Inselspital, University Hospital Bern, University of Bern, 3012 Bern, Switzerland
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