Evidence map›Paper›PMID 42143391›Full record

ArticleJournal of neuroengineering and rehabilitation2026

Characteristics of plantar pressure during walking in stroke patients with hemiplegia of different brunnstrom stages: a study based on five-region smart insoles.

Jingsong Mu, Xue Liu, Yan Yuan, Songran Wang, Xingyu Dou, Shujie Hao, Chaobing Zhang, Wenming Fei, Baohua Hu, Yong Wang

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jingsong Mu *School of Mechanical Engineering, Hefei University of Technology, Hefei, 230041, Anhui, China.
Xue Liu *Graduate School, Bengbu Medical University, Bengbu, 233000, Anhui, China.
Yan YuanSchool of Mechanical Engineering, Hefei University of Technology, Hefei, 230041, Anhui, China.
Songran WangSouth University of Science and Technology, Shenzhen, 518000, Guangdong, China.
Xingyu DouGraduate School, Bengbu Medical University, Bengbu, 233000, Anhui, China.
Shujie HaoSchool of Mechanical Engineering, Hefei University of Technology, Hefei, 230041, Anhui, China.
Chaobing ZhangDepartment of Rehabilitation Medicine, The Third People's Hospital of Hefei, Hefei, 230041, Anhui, China.
Wenming FeiDepartment of Rehabilitation Medicine, Anhui Zhongke Gengjiu Hospital, Hefei, 230041, Anhui, China.
Baohua HuSchool of Advanced Manufacturing Engineering, Hefei University, Hefei, 230031, Anhui, China.
Yong WangSchool of Mechanical Engineering, Hefei University of Technology, Hefei, 230041, Anhui, China. simenkouwang@hfut.edu.cn.

Funding

the National Natural Science Foundation of China U1713210the Scientific Research Project of Anhui Higher Education (Key Project of Natural Science) 2022AH051261
6 · The paper itself

Abstract

Plantar pressure measurement is frequently employed to assess the gait characteristics of stroke patients. This study developed a gait assessment system for stroke patients utilizing a self-developed five-region smart insole, with the goal of objectively evaluating their gait characteristics. A total of 75 stroke patients (14 at Brunnstrom stage III, 18 at stage IV, 27 at stage V, and 16 at stage VI) and 24 healthy subjects (designated "Health") were recruited. A smart insole was used to collect the subjects' gait parameters and plot plantar pressure curves. The results showed the following: (1) There were statistically significant differences among the five groups in the durations of the gait cycle, the double support phase, the bilateral single support phases, and the swing phase, as well as in the ratio of peak pressure to body weight for the bilateral toe bone regions, medial metatarsal regions, lateral metatarsal regions, and heel regions. No statistically significant differences were found in the bilateral arch peak pressure-to-body weight ratio among the five groups. (2) Each of the five subject groups exhibited a unique plantar pressure curve profile. The smart insole used in this study can provide objective gait assessment for stroke patients and effectively differentiate the gait characteristics of patients at different Brunnstrom stages.

Indexed as

FootHemiplegiaStrokeWalkingAdultAgedBiomechanical PhenomenaFemaleGaitHumansMaleMiddle AgedPressureBrunnstrom StagesGaitHemiplegiaPlantar PressureStroke

Identifiers

PMID42143391
PMCPMC13540231

What OpenQuestion holds

Textmetadata
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.