Evidence map›Paper›PMID 40150692›Full record

ArticleBioengineering (Basel, Switzerland)2025

HANDSON Hand: Strategies and Approaches for Competitive Success at CYBATHLON 2024.

Xuhui Hu, Fengkai Guo, Zhikai Wei, Dapeng Chen, Junfa Dai, Anran Li, Senhao Zhang, Mostafa Orban, Yao Tong, Cong Hu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Xuhui HuSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.ORCID 0000-0001-7632-3090
Fengkai GuoSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Zhikai WeiSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Dapeng ChenSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Junfa DaiSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Anran LiSchool of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
Senhao ZhangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Mostafa OrbanSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.ORCID 0000-0002-8414-1171
Yao TongSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Cong HuGuangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin 541004, China.
Baoguo XuSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.ORCID 0000-0003-0735-1498
Hong ZengSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Aiguo SongShenzhen Research Institute, Southeast University, Shenzhen 518055, China.ORCID 0000-0002-1982-6780
Kai GuoSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.ORCID 0000-0003-2071-6869
Hongbo YangSuzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.

Funding

Guangxi Key Laboratory of Automatic Detecting Technology and Instruments YQ24205National Natural Science Foundation of China 62173089National Natural Science Foundation of China 62303453National Natural Science Foundation of China 62473200
6 · The paper itself

Abstract

A significant number of people with disabilities rely on assistive devices, yet these technologies often face limitations, including restricted functionality, inadequate user-centered design, and a lack of standardized evaluation metrics. While upper-limb prosthetics remain a key research focus, existing commercial solutions still fall short of meeting daily reliability and usability needs, leading to high abandonment rates. CYBATHLON integrates assistive technologies into daily living tasks, driving innovation and prioritizing user needs. In CYBATHLON 2024, the HANDSON hand secured first place in the arm prosthesis race, showcasing breakthroughs in human-robot integration. This paper presents the HANDSON hand's design, core technologies, training strategies, and competition performance, offering insights for advancing multifunctional prosthetic hands to tackle real-world challenges.

Indexed as

assistive devicesCYBATHLONprosthetic hand

Identifiers

PMID40150692
PMCPMC11939478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.