Evidence map›Paper›PMID 42830299›Full record

ArticleNature communications2026

Biomechanical energy harvesting to improve post-stroke mobility.

Qiqi Pan, Yuyan Luo, Zhihe Long, Haobing Liang, Yi Zheng, Yuanyi Wang, Songnan Bai, Jiawen Zhang, Min Pang, Riran Liang and 9 more

Abstract read
In one paragraph

Article in Nature communications, 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

19 authors.

Qiqi Pan *State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Yuyan Luo *Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Zhihe Long *School of Physics, University of Electronic Science and Technology of China, Chengdu, PR China.ORCID 0000-0003-3815-2029
Haobing LiangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Yi ZhengDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.ORCID 0000-0002-7979-1292
Yuanyi WangDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Songnan BaiDepartment of Civil Engineering, The University of Hong Kong, Hong Kong, China.
Jiawen ZhangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Min PangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Riran LiangDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Weikang LinDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Feipeng DongDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Zixuan LiDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.ORCID 0009-0001-6915-0694
Xiaodan YangDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China.ORCID 0000-0003-3673-1625
Biao WangSchool of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, China.ORCID 0000-0002-2746-8207
Ying HongDepartment of Medical Ultrasound, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Bin HanState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-0049-822X
Christina Zong-Hao MaDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. czh.ma@polyu.edu.hk.ORCID 0000-0001-6507-2329
Zhengbao YangDepartment of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China. zbyang@ust.hk.ORCID 0000-0001-5075-0457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot drop is a common post-stroke gait impairment that reduces toe clearance and compromises walking safety. Existing assistive interventions are often limited by passive compensation, external power requirements, and manual tuning. Here, we introduce a wearable, gait-timing-adaptive, self‑powered neuroprosthesis (SPN) that augments ankle dorsiflexion and corrects gait patterns, avoiding labor-intensive parameter tuning and eliminating the charging and reliability burdens of external batteries. The SPN leverages gait's out‑of‑phase mechanics: it harvests mechanical energy during stance on the non‑paretic limb and immediately converts it into electrical stimulation of the tibialis anterior on the paretic limb during swing, increasing dorsiflexion when foot clearance is required. In ambulatory stroke survivors with preserved walking capacity, foot drop, and lower-limb impairment (Fugl-Meyer LE Score: 13-27/34, Modified Ashworth Scale-Ankle Plantarflexors: 0-2), the SPN assistance produced immediate, clinically meaningful gains during outdoor walking: dorsiflexion angle improved from -1.1° to 6.8°, walking distance increased by 67.3%, speed by 43.5%, and gait variability decreased by 71.9%. These findings demonstrate the SPN's potential to restore dorsiflexion, enhance mobility, and improve overall quality of life for individuals recovering from stroke, particularly those at later stages of life.

Indexed as

Gait Disorders, NeurologicStrokeStroke RehabilitationAgedBiomechanical PhenomenaFemaleGaitHumansMaleMiddle AgedWalking

Identifiers

PMID42830299
PMCPMC13635246

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.