Evidence map›Paper›PMID 30621103›Full record

ArticleSensors (Basel, Switzerland)2019

Towards Wearable Comprehensive Capture and Analysis of Skeletal Muscle Activity during Human Locomotion.

Christina Zong-Hao Ma, Yan To Ling, Queenie Tsung Kwan Shea, Li-Ke Wang, Xiao-Yun Wang, Yong-Ping Zheng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Advances in Biomechanics-Based Motion Analysis.Bioengineering (Basel, Switzerland) · 2023
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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

6 authors.

Christina Zong-Hao MaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. christina.ma@connect.polyu.hk.
Yan To LingDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. jane.yt.ling@connect.polyu.hk.
Queenie Tsung Kwan SheaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. queenie.tk.shea@connect.polyu.hk.
Li-Ke WangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. akewanglike@hotmail.com.
Xiao-Yun WangGuangdong Work Injury Rehabilitation Center, Guangzhou 510440, China. xiaoyunwang77@hotmail.com.
Yong-Ping ZhengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. yongping.zheng@polyu.edu.hk.

Funding

Guangdong Provincial Work Injury Rehabilitation Center H-ZG4WThe Hong Kong Polytechnic University G-YBRN
6 · The paper itself

Abstract

backgroundMotion capture and analyzing systems are essential for understanding locomotion. However, the existing devices are too cumbersome and can be used indoors only. A newly-developed wearable motion capture and measurement system with multiple sensors and ultrasound imaging was introduced in this study.

methodsIn ten healthy participants, the changes in muscle area and activity of gastrocnemius, plantarflexion and dorsiflexion of right leg during walking were evaluated by the developed system and the Vicon system. The existence of significant changes in a gait cycle, comparison of the ankle kinetic data captured by the developed system and the Vicon system, and test-retest reliability (evaluated by the intraclass correlation coefficient, ICC) in each channel's data captured by the developed system were examined.

resultsModerate to good test-retest reliability of various channels of the developed system (0.512 ≤ ICC ≤ 0.988, p < 0.05), significantly high correlation between the developed system and Vicon system in ankle joint angles (0.638R ≤ 0.707, p < 0.05), and significant changes in muscle activity of gastrocnemius during a gait cycle (p < 0.05) were found.

conclusionA newly developed wearable motion capture and measurement system with ultrasound imaging that can accurately capture the motion of one leg was evaluated in this study, which paves the way towards real-time comprehensive evaluation of muscles and joint motions during different activities in both indoor and outdoor environments.

Indexed as

Wearable Electronic DevicesAdultBiomechanical PhenomenaFemaleGaitHumansLocomotionMaleMonitoring, PhysiologicMuscle, SkeletalWalkingelectromyography (EMG)joint anglemechanomyography (MMG)motion capture and analysisplantar forcesonomyograph (SMG)ultrasound imagingwearable

Identifiers

PMID30621103
PMCPMC6339139

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.