Evidence map›Paper›PMID 38429890›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Closed-Loop Wearable Device Network of Intrinsically-Controlled, Bilateral Coordinated Functional Electrical Stimulation for Stroke.

Shuxing Xu, Chengyu Li, Conghui Wei, Xinfang Kang, Sheng Shu, Guanlin Liu, Zijie Xu, Mengdi Han, Jun Luo, Wei Tang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. A Fully Self-Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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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

10 authors.

Shuxing XuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.
Chengyu LiBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.
Conghui WeiRehabilitation Medicine Department, The Second Affiliated Hospital of Nanchang University, Nanchang City, 330006, P. R. China.
Xinfang KangRehabilitation Medicine Department, The Second Affiliated Hospital of Nanchang University, Nanchang City, 330006, P. R. China.
Sheng ShuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.
Guanlin LiuCenter on Nanoenergy Research, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China.
Zijie XuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.
Mengdi HanDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Jun LuoRehabilitation Medicine Department, The Second Affiliated Hospital of Nanchang University, Nanchang City, 330006, P. R. China.
Wei TangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.ORCID 0000-0002-9901-4933

Funding

National Key R & D Project from the Minister of Science and Technology 2020YFC2005800National Natural Science Foundation of China 52192610
6 · The paper itself

Abstract

Innovative functional electrical stimulation has demonstrated effectiveness in enhancing daily walking and rehabilitating stroke patients with foot drop. However, its lack of precision in stimulating timing, individual adaptivity, and bilateral symmetry, resulted in diminished clinical efficacy. Therefore, a closed-loop wearable device network of intrinsically controlled functional electrical stimulation (CI-FES) system is proposed, which utilizes the personal surface myoelectricity, derived from the intrinsic neuro signal, as the switch to activate/deactivate the stimulation on the affected side. Simultaneously, it decodes the myoelectricity signal of the patient's healthy side to adjust the stimulation intensity, forming an intrinsically controlled loop with the inertial measurement units. With CI-FES assistance, patients' walking ability significantly improved, evidenced by the shift in ankle joint angle mean and variance from 105.53° and 28.84 to 102.81° and 17.71, and the oxyhemoglobin concentration tested by the functional near-infrared spectroscopy. In long-term CI-FES-assisted clinical testing, the discriminability in machine learning classification between patients and healthy individuals gradually decreased from 100% to 92.5%, suggesting a remarkable recovery tendency, further substantiated by performance on the functional movement scales. The developed CI-FES system is crucial for contralateral-hemiplegic stroke recovery, paving the way for future closed-loop stimulation systems in stroke rehabilitation is anticipated.

Indexed as

Electric Stimulation TherapyStroke RehabilitationWearable Electronic DevicesAdultAgedEquipment DesignFemaleHumansMaleMiddle AgedSpectroscopy, Near-InfraredStrokeWalkingclosed‐loop networkfunctional electrical stimulationstrokewearable devices

Identifiers

PMID38429890
PMCPMC11077660

What OpenQuestion holds

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Registered trials

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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.