Evidence map›Paper›PMID 42052110›Full record

ArticleData in brief2026

Balance ability test dataset for stroke patients based on flexible array pressure sensors.

Shun Wang, Jian Guo, Yue Zhang, Huachun Liu, Huabin Su, Yunpeng Zhang

Abstract read
In one paragraph

Article in Data in brief, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Shun WangUniversity of Science and Technology of China, Anhui, China.
Jian GuoSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
Yue ZhangJiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Huachun LiuJiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Huabin SuJiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Yunpeng ZhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, flexible array pressure sensors have been extensively employed in balance assessment research owing to their high sensitivity, flexible design, and multi-point measurement capability. This paper introduces a publicly available dataset for balance assessment, based on these sensors, developed to facilitate the detection and analysis of balance impairments in stroke patients. Data collection was conducted at Jiangbin Hospital, located in the Guangxi Zhuang Autonomous Region. The dataset comprises data from 53 volunteers (24 males, 29 females), including 36 healthy controls and 17 stroke patients. Participants' ages ranged from 16 to 86 years, heights from 1.45 to 1.83 m, and weights from 41 to 85 kg. Each participant performed five specific movements in a fixed sequence: sit-to-stand, in-place stepping, stepping on a soft mat with eyes closed, static balance with eyes closed, and static balance with eyes open. An array pressure acquisition system was used for data collection and storage. The public release of this dataset is intended to address the current scarcity of large-scale, high-quality data for balance assessment in stroke patients and to promote the advancement of balance assessment technologies.

Indexed as

Array pressure acquisition systemBalance ability evaluationBiomedical signal processingGait behaviour recognitionHome-based rapid screening

Identifiers

PMID42052110
PMCPMC13112481

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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.