Evidence map›Paper›PMID 41361181›Full record

ReviewNature communications2025

Wearable technologies for assisted mobility in the real world.

Shuo Gao, Jianan Chen, Yunjia Xia, Xuemeng Li, Weihao Ma, Huixin Yang, Jinchen Li, Xinkai Zhou, Tianyu Jia, Yuchen Xu and 36 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. 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

46 authors.

Shuo Gao *School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China. shuo_gao@buaa.edu.cn.ORCID http://orcid.org/0000-0003-3096-4700
Jianan Chen *HUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Yunjia Xia *HUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Xuemeng Li *School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.ORCID http://orcid.org/0009-0005-6602-4245
Weihao MaSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.
Huixin YangHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Jinchen LiHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Xinkai ZhouHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Tianyu JiaDepartment of Bioengineering, Imperial College London, London, UK.
Yuchen XuShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Julie UchitelSchool of Medicine, Stanford University, Stanford, CA, USA.
Dean TaCollege of Biomedical Engineering, Fudan University, Shanghai, China.
Peng QiDepartment of Control Science and Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0003-0514-9464
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China.ORCID http://orcid.org/0000-0002-9360-7332
Yi GuoCollege of Biomedical Engineering, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-7142-2871
Yajie QinCollege of Biomedical Engineering, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-4879-5995
Inseung KangDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Wenyao XuThe Embedded Sensing and Computing (ESC) group, Department of Computer Science & Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA.
He LiSchool of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu, China.
Jinke ChangHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Siming ZuoMicroelectronics Lab (meLAB), James Watt School of Engineering, University of Glasgow, Glasgow, UK.
Shiwei WangCentre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Edinburgh, UK.
Shan LuoRobot Perception Lab (RPL), Department of Engineering, King's College London, London, UK.
Letizia GionfridaVision in Human Robotics Lab, Department of Informatics, King's College London, London, UK.
Chen HuVision in Human Robotics Lab, Department of Informatics, King's College London, London, UK.
Shuqin DongState Key Laboratory of Terahertz and Millimeter Waves, Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0001-6875-0914
Yongxin GuoState Key Laboratory of Terahertz and Millimeter Waves, Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yixuan YuanDepartment of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Haixia ZhangNational Key Laboratory of Science and Technology on Micro/Nano Fabrication, Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-4565-4123
Haotian ChenHiMEX Lab, James Watt School of Engineering, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-9516-183X
Yu PanDepartment of Rehabilitation Medicine, School of Clinical Medicine, Tsinghua University, Beijing, China.
Chenyun DaiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Qinyuan RenInstitute of Industrial Engineering, College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
Rui LoureiroHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.
Tom CarlsonHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK.ORCID http://orcid.org/0000-0001-9201-7798
Wei ChenSchool of Biomedical Engineering, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-3720-718X
Yuanting ZhangDepartment of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
Panicos KyriacouResearch Centre for Biomedical Engineering, School of Science & Technology, City St George's, University of London, London, UK.
Hadi HeidariMicroelectronics Lab (meLAB), James Watt School of Engineering, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-8412-8164
Kia NazarpourEdinburgh Movement and Rehabilitation (MoveR) hub, School of Informatics, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4217-0254
Themis ProdromakisCentre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-6267-6909
Alexander CassonDepartment of Electrical and Electronic Engineering, University of Manchester, Manchester, UK.
Tamar R MakinMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-5816-8979
Gert CauwenberghsShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA. gcauwenberghs@ucsd.edu.ORCID http://orcid.org/0000-0002-3166-5529
Dario FarinaDepartment of Bioengineering, Imperial College London, London, UK. d.farina@imperial.ac.uk.ORCID http://orcid.org/0000-0002-7883-2697
Hubin ZhaoHUB of Intelligent Neuro-engineering, CREATe, Division of Surgery and Interventional Science, UCL, London, UK. hubin.zhao@ucl.ac.uk.ORCID http://orcid.org/0000-0001-9408-4724

Funding

National Natural Science Foundation of China (National Science Foundation of China) 2023YFB3208003RCUK | Engineering and Physical Sciences Research Council (EPSRC) 13171178 R00287RCUK | Engineering and Physical Sciences Research Council (EPSRC) 203145Z/16/ZRCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/T020970/1Wellcome Trust
6 · The paper itself

Abstract

Mobility impairments from aging, injury, or medical conditions limit independence and social participation. Conventional assistive devices lack adaptability in complex environments. Recent wearable technologies integrating neural sensing, electronics, and co-design offer personalized, responsive mobility support. This perspective focuses on advances in wearable sensing and multimodal fusion for intent recognition, environmental interaction, and adaptive control in exoskeletons, prosthetics, smart wheelchairs, and navigation systems. Emphasizing human-in-the-loop and cognitive-sensorimotor integration, it outlines emerging trends and challenges, promoting intelligent, user-centered solutions to restore function and enhance autonomy, accessibility, and inclusion for individuals with mobility impairments.

Indexed as

Self-Help DevicesWearable Electronic DevicesExoskeleton DeviceHumansWheelchairs

Identifiers

PMID41361181
PMCPMC12689786

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.