Evidence map›Paper›PMID 42564648›Full record

ArticleDementia and neurocognitive disorders2026

Gait Analysis Using Wearable Sensors in Patients With Alzheimer's Dementia: A Preliminary Report.

Saenal Lee, Sung-Ho Woo, Ki Chang Nam, Changon Moon, Kwangmo Lee, Kwang Ki Kim, Hang-Rai Kim, Jeewon Suh

Abstract read
In one paragraph

Article in Dementia and neurocognitive disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Saenal LeeDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0009-0006-4591-0966
Sung-Ho WooInstitute of Interdisciplinary Brain Science, Dongguk University College of Medicine, Goyang, Korea.ORCID https://orcid.org/0009-0001-8552-2021
Ki Chang NamDepartment of Medical Engineering, Dongguk University College of Medicine, Goyang, Korea.ORCID https://orcid.org/0000-0002-0484-7845
Changon MoonSmart Medical Device Co., Ltd., Goyang, Korea.ORCID https://orcid.org/0009-0008-6294-3270
Kwangmo LeeSmart Medical Device Co., Ltd., Goyang, Korea.ORCID https://orcid.org/0009-0002-4198-5830
Kwang Ki KimDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0001-5505-1540
Hang-Rai KimDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0003-4197-4541
Jeewon SuhDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0003-3509-6447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Gait dysfunctions have been frequently observed in patients with Alzheimer's disease (AD). Previous studies have used various methods to assess the gait impairment in AD. Here, we developed a wearable gait sensor, a Smart-insole, which is embedded in shoe insoles. We evaluated whether gait parameters measured using the Smart-insole were associated with cognitive performance in patients with AD. Methods: Participants aged 45-90 years, who were either cognitively unimpaired (CU) or had Alzheimer's disease dementia (ADD) were recruited from a hospital-based outpatient clinic, between January and December 2023. Participants performed three gait tasks (walk straight and turn test, timed up and go test, and ramp and stair test) while wearing the Smart-insole. The association of gait parameters with individual's cognitive status (CU vs. ADD) and cognitive test scores (Mini-Mental State Examination [MMSE] and various domain-specific cognitive tests from the Seoul Neuropsychological Screening Battery, 2 Results: Patients with ADD demonstrated decreased gait pace, rhythm, and stability as evidenced by longer task, cycle, and stance times, a higher number of steps, greater variability in swing time, and lower cadence during the gait task. Furthermore, gait parameters showed nominal associations with individual's MMSE score and each cognitive domain score (fronto-executive, memory, and language function). Conclusions: Smart-insole wearable sensors showed exploratory gait-related alterations in patients with ADD. These hypothesis-generating findings suggest that wearable insole-based gait assessment may provide complementary information for characterizing gait and cognitive dysfunction in ADD.

Indexed as

Alzheimer DiseaseCognitionGaitWearable Electronic Devices

Identifiers

PMID42564648
PMCPMC13444366

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.