Minding your steps: a cross-sectional pilot study using foot-worn inertial sensors and dual-task gait analysis to assess the cognitive status of older adults with mobility limitations

BMC Geriatrics

Research

Miguel Velhote Correia¹  Inês Sousa²  Vânia Guimarães³  Eling D. de Bruin⁴  Joana Pais⁵ 

[1] Faculty of Engineering, University of Porto, Porto, Portugal;INESC TEC (Institute for Systems and Computer Engineering, Technology and Science), Porto, Portugal;Fraunhofer Portugal AICOS, Porto, Portugal;Fraunhofer Portugal AICOS, Porto, Portugal;Faculty of Engineering, University of Porto, Porto, Portugal;Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland;Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden;OST - Eastern Swiss University of Applied Sciences, Department of Health, St. Gallen, Switzerland;Neuroinova, Lda., Vila Nova de Gaia, Portugal;EPIUnit - Institute of Public Health, University of Porto, Porto, Portugal;Laboratory for Integrative and Translational Research in Population Health (ITR), University of Porto, Porto, Portugal;

关键词: Inertial sensors;    Gait analysis;    Cognitive impairment;    Dual-task;    Older adults;    Mobility;   

DOI  :  10.1186/s12877-023-04042-6

 received in 2022-10-10, accepted in 2023-05-16,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundCognitive impairment is a critical aspect of our aging society. Yet, it receives inadequate intervention due to delayed or missed detection. Dual-task gait analysis is currently considered a solution to improve the early detection of cognitive impairment in clinical settings. Recently, our group proposed a new approach for the gait analysis resorting to inertial sensors placed on the shoes. This pilot study aimed to investigate the potential of this system to capture and differentiate gait performance in the presence of cognitive impairment based on single- and dual-task gait assessments.MethodsWe analyzed demographic and medical data, cognitive tests scores, physical tests scores, and gait metrics acquired from 29 older adults with mobility limitations. Gait metrics were extracted using the newly developed gait analysis approach and recorded in single- and dual-task conditions. Participants were stratified into two groups based on their Montreal Cognitive Assessment (MoCA) global cognitive scores. Statistical analysis was performed to assess differences between groups, discrimination ability, and association of gait metrics with cognitive performance.ResultsThe addition of the cognitive task influenced gait performance of both groups, but the effect was higher in the group with cognitive impairment. Multiple dual-task costs, dual-task variability, and dual-task asymmetry metrics presented significant differences between groups. Also, several of these metrics provided acceptable discrimination ability and had a significant association with MoCA scores. The dual-task effect on gait speed explained the highest percentage of the variance in MoCA scores. None of the single-task gait metrics presented significant differences between groups.ConclusionsOur preliminary results show that the newly developed gait analysis solution based on foot-worn inertial sensors is a pertinent tool to evaluate gait metrics affected by the cognitive status of older adults relying on single- and dual-task gait assessments. Further evaluation with a larger and more diverse group is required to establish system feasibility and reliability in clinical practice.Trial registrationClinicalTrials.gov (identifier: NCT04587895)

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

41116_2023_36_Article_IEq367.gif

41116_2023_36_Article_IEq365.gif

41116_2023_36_Article_IEq364.gif

41116_2023_36_Article_IEq362.gif

Fig. 4

41116_2023_36_Article_IEq361.gif

41116_2023_36_Article_IEq360.gif

41116_2023_36_Article_IEq359.gif

41116_2023_36_Article_IEq358.gif

Fig. 3

Fig. 2

Fig. 1

41116_2023_36_Article_IEq336.gif

41116_2023_36_Article_IEq335.gif

41116_2023_36_Article_IEq334.gif

41116_2023_36_Article_IEq333.gif

41116_2023_36_Article_IEq332.gif

Fig. 4

41116_2023_36_Article_IEq330.gif

Fig. 2

41116_2023_36_Article_IEq328.gif

41116_2023_36_Article_IEq327.gif

41116_2023_36_Article_IEq326.gif

40517_2023_256_Article_IEq244.gif

41116_2023_36_Article_IEq325.gif

41116_2023_36_Article_IEq324.gif

41116_2023_36_Article_IEq322.gif

41116_2023_36_Article_IEq220.gif

41116_2023_36_Article_IEq219.gif

Fig. 3

41116_2023_36_Article_IEq217.gif

41116_2023_36_Article_IEq216.gif

41116_2023_36_Article_IEq215.gif

41116_2023_36_Article_IEq214.gif

41116_2023_36_Article_IEq213.gif

41116_2023_36_Article_IEq212.gif

41116_2023_36_Article_IEq211.gif

41116_2023_36_Article_IEq210.gif

41116_2023_36_Article_IEq209.gif

Fig. 1

Fig. 1

Fig. 3

Fig. 2

41116_2023_36_Article_IEq202.gif

41116_2023_36_Article_IEq201.gif

Fig. 1

Fig. 1

41116_2023_36_Article_IEq198.gif

41116_2023_36_Article_IEq197.gif

41116_2023_36_Article_IEq196.gif

41116_2023_36_Article_IEq195.gif

41116_2023_36_Article_IEq184.gif

41116_2023_36_Article_IEq182.gif

41116_2023_36_Article_IEq181.gif

41116_2023_36_Article_IEq180.gif

41116_2023_36_Article_IEq179.gif

41116_2023_36_Article_IEq178.gif

Fig. 2

41116_2023_36_Article_IEq176.gif

41116_2023_36_Article_IEq172.gif

41116_2023_36_Article_IEq165.gif

41116_2023_36_Article_IEq164.gif

40517_2023_256_Article_IEq264.gif

41116_2023_36_Article_IEq138.gif