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

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.

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Publication Details

Journal
Data in Brief
Published
2026-04-06
DOI
https://doi.org/10.1016/j.dib.2026.112751
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Huachun Liu, Huabin Su, Yue Zhang, Jian Guo et al.
Data in Brief
Balance, Gait, and Falls Prevention
article

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

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

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.

Data in BriefVol. 66
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Suzhou Institute of Biomedical Engineering and Technology (CN), Riverside Hospital of Guangxi Zhuang Autonomous Region (CN)
Science and Technology Department of Guangxi Zhuang Autonomous
Affordable and clean energy
Openalex Percentile: Top 28%
Balance, Gait, and Falls Prevention
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