Evidence map›Paper›PMID 33297364›Full record

ArticleSensors (Basel, Switzerland)2020

Identifying Fatigue Indicators Using Gait Variability Measures: A Longitudinal Study on Elderly Brisk Walking.

Guoxin Zhang, Ivy Kwan-Kei Wong, Tony Lin-Wei Chen, Tommy Tung-Ho Hong, Duo Wai-Chi Wong, Yinghu Peng, Fei Yan, Yan Wang, Qitao Tan, Ming Zhang

Open access · goldAbstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Evidence-based yet still challenging! Research on physical activity in old age.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 2 countries.

Guoxin ZhangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Ivy Kwan-Kei WongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Tony Lin-Wei ChenDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Tommy Tung-Ho HongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Duo Wai-Chi WongDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0002-8805-1157
Yinghu PengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Fei YanDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Yan WangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Qitao TanDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0003-1789-0778
Ming ZhangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0002-6027-4594
Hong Kong Polytechnic University · HK

Funding

Innovation and Technology Fund ITS/262/18National Natural Science Foundation of China No. 11732015National Natural Science Foundation of China No. 11972315
6 · The paper itself

Abstract

Real-time detection of fatigue in the elderly during physical exercises can help identify the stability and thus falling risks which are commonly achieved by the investigation of kinematic parameters. In this study, we aimed to identify the change in gait variability parameters from inertial measurement units (IMU) during a course of 60 min brisk walking which could lay the foundation for the development of fatigue-detecting wearable sensors. Eighteen elderly people were invited to participate in the brisk walking trials for 60 min with a single IMU attached to the posterior heel region of the dominant side. Nine sets of signals, including the accelerations, angular velocities, and rotation angles of the heel in three anatomical axes, were measured and extracted at the three walking times (baseline, 30th min, and 60th min) of the trial for analysis. Sixteen of eighteen participants reported fatigue after walking, and there were significant differences in the median acceleration (

Indexed as

FatigueGaitWalkingAgedBiomechanical PhenomenaHumansLongitudinal StudiesWearable Electronic Devicesbrisk walkingfatiguegaitinertial measurement unitkinematics

Identifiers

PMID33297364
PMCPMC7730469
OpenAlexW3111428161

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.