Evidence map›Paper›PMID 38975224›Full record

ArticleHeliyon2024

Gait asymmetrical evaluation of lower limb amputees using wearable inertial sensors.

Hafiz Farhan Maqbool, Imran Mahmood, Ahmad Ali, Nadeem Iqbal, Jin-Taek Seong, Abbas Ali Dehghani-Sanij, Sundas Naji Alaziz, Mohammed Ibrahim Awad

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

8 authors.

Hafiz Farhan MaqboolDepartment of Mechanical, Mechatronics and Manufacturing Engineering, UET Lahore, FC, Punjab, Pakistan.
Imran MahmoodDepartment of Mechanical, Mechatronics and Manufacturing Engineering, UET Lahore, FC, Punjab, Pakistan.
Ahmad AliDepartment of Mechanical, Mechatronics and Manufacturing Engineering, UET Lahore, FC, Punjab, Pakistan.
Nadeem IqbalDepartment of Computer Science, Abdul Wali Khan University, Mardan, KP, Pakistan.
Jin-Taek SeongGraduate School of Data Science, Chonnam National University, Gwanju, 61186, South Korea.
Abbas Ali Dehghani-SanijSchool of Mechanical Engineering, University of Leeds, Leeds, UK.
Sundas Naji AlazizDepartment of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.
Mohammed Ibrahim AwadDepartment of Mechatronics Engineering, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents an analysis and evaluation of gait asymmetry (GA) based on the temporal gait parameters identified using a portable gait event detection system, placed on the lateral side of the shank of both lower extremities of the participants. Assessment of GA was carried out with seven control subjects (CS), one transfemoral amputee (TFA) and one transtibial amputee (TTA) while walking at different speeds on overground (OG) and treadmill (TM). Gait cycle duration (GCD), stance phase duration (SPD), swing phase duration (SwPD), and the sub-phases of the gait cycle (GC) such as Loading-Response (LR), Foot-Flat (FF), and Push-Off (PO), Swing-1 (SW-1) and Swing-2 (SW-2) were evaluated. The results revealed that GCD showed less asymmetry as compared to other temporal parameters in both groups. A significant difference (p < 0.05) was observed between the groups for SPD and SwPD with lower limb amputees (LLA) having a longer stance and shorter swing phase for their intact side compared to their amputated side, resulting, large GA for TFA compared to CS and TTA. The findings could potentially contribute towards a better understanding of gait characteristics in LLA and provide a guide in the design and control of lower limb prosthetics/orthotics.

Indexed as

Gait asymmetryGait phasesInertial sensorsLower limb amputeesSymmetry index

Identifiers

PMID38975224
PMCPMC11225666

What OpenQuestion holds

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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.