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      Wearable Sensor-Based Daily Life Walking Assessment of Gait for Distinguishing Individuals With Amnestic Mild Cognitive Impairment

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          Abstract

          Objectives: To characterize gait disorders in patients with amnestic mild cognitive impairment (aMCIs) and determine the association between the performance of the gait function and cognition.

          Methodology: In this study, we enrolled 38 patients with aMCI and 30 cognitively normal individuals normal controls (NC). Neuropsychological assessments included tests of memory, executive function, language, and attention. Using an inertial-sensor-based wearable instrument, we collected the gait data dynamically for at least 1 h/day for 2 weeks. The gait parameters included walking velocity, stride length, stride time, cadence, and stride time variability.

          Results: The aMCI patients had reduced walking velocity and stride length and increased stride time variability compared with the NCs. The total number of steps, stride time, and cadence did not differ between the two groups. For all the subjects, walking velocity and stride length was positively associated with memory and executive function. Stride time variability was negatively correlated with the cognitive domains including memory, executive function and attention.

          Conclusion: This study suggested that cognitive impairment-related gait disorders occur (reduced gait speed, gait length, and gait stability) in daily life walking among the aMCI patients. A sensor-based wearable device for gait measurement may be an alternative and convenient tool for screening cognitive impairment.

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          Most cited references23

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          Validation of the Chinese Version of Montreal Cognitive Assessment Basic for Screening Mild Cognitive Impairment.

          To evaluate the effectiveness of the Chinese version of the Montreal Cognitive Assessment Basic (MoCA-BC) as a screening tool for detecting mild cognitive impairment (MCI) in Chinese elderly adults.
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            The Impact of Mild Cognitive Impairment on Gait and Balance: A Systematic Review and Meta-Analysis of Studies Using Instrumented Assessment.

            In addition to cognitive deficits, people with mild cognitive impairment (MCI) can experience motor dysfunction, including deficits in gait and balance. Objective, instrumented motor performance assessment may allow the detection of subtle MCI-related motor deficits, allowing early diagnosis and intervention. Motor assessment under dual-task conditions may increase diagnostic accuracy; however, the sensitivity of different cognitive tasks is unclear.
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              Innovative diagnostic tools for early detection of Alzheimer's disease.

              Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive (cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming (neuropsychological assessment) and thus have limited accessibility as frontline screening and diagnostic tools for AD. Thus, there is an increasing need for additional noninvasive and/or cost-effective tools, allowing identification of subjects in the preclinical or early clinical stages of AD who could be suitable for further cognitive evaluation and dementia diagnostics. Implementation of such tests may facilitate early and potentially more effective therapeutic and preventative strategies for AD. Before applying them in clinical practice, these tools should be examined in ongoing large clinical trials. This review will summarize and highlight the most promising screening tools including neuropsychometric, clinical, blood, and neurophysiological tests.
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                Author and article information

                Contributors
                Journal
                Front Aging Neurosci
                Front Aging Neurosci
                Front. Aging Neurosci.
                Frontiers in Aging Neuroscience
                Frontiers Media S.A.
                1663-4365
                22 October 2019
                2019
                : 11
                : 285
                Affiliations
                [1] 1Department of Neurology, First People’s Hospital of Foshan , Foshan, China
                [2] 2Dalian Key Laboratory of Smart Medical and Health, Dalian University , Dalian, China
                [3] 3National Research Center for Rehabilitation Technical Aids, Rehabilitation Hospital, Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, Key Laboratory of Intelligent Control and Rehabilitation Technology of the Ministry of Civil Affairs , Beijing, China
                Author notes

                Edited by: Yu-Min Kuo, National Cheng Kung University, Taiwan

                Reviewed by: Enrico Mossello, University of Florence, Italy; Takahito Yoshizaki, Keio University, Japan

                *Correspondence: Haiqun Xie haiqunx@ 123456foxmail.com Zeping Lv lvzeping@ 123456163.com
                Article
                10.3389/fnagi.2019.00285
                6817674
                31695605
                9b3f26d8-e19d-4c94-b060-353b12cd0063
                Copyright © 2019 Xie, Wang, Tao, Huang, Zhang and Lv.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 June 2019
                : 03 October 2019
                Page count
                Figures: 0, Tables: 3, Equations: 2, References: 34, Pages: 6, Words: 4851
                Categories
                Neuroscience
                Original Research

                Neurosciences
                amnestic mild cognitive impairment,gait,wearable sensor-based,cognition,gait parameters

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