Evidence map›Paper›PMID 38012169›Full record

ArticleNature communications2023

A fully integrated, standalone stretchable device platform with in-sensor adaptive machine learning for rehabilitation.

Hongcheng Xu, Weihao Zheng, Yang Zhang, Daqing Zhao, Lu Wang, Yunlong Zhao, Weidong Wang, Yangbo Yuan, Ji Zhang, Zimin Huo and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
17.8field-weighted citation impact, top 1% of its field
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.

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  16. Wearable bioelectronics for cancer theranostics.Microsystems & nanoengineering · 2025
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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

23 authors at 8 institutions in 3 countries.

Hongcheng XuSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.ORCID 0000-0002-2813-3230
Weihao ZhengSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Yang ZhangDepartment of Medical Electronics, School of Biomedical Engineering, Air Force Medical University, Xi'an, 710032, China.ORCID 0000-0002-8540-1254
Daqing ZhaoDepartment of Otolaryngology-Head and Neck Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, 710032, China.
Lu WangDepartment of Otolaryngology-Head and Neck Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, 710032, China.
Yunlong ZhaoPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China.
Weidong WangSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China. wangwd@mail.xidian.edu.cn.ORCID 0000-0003-1713-7890
Yangbo YuanSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Ji ZhangSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.ORCID 0000-0001-8299-6101
Zimin HuoSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Yuejiao WangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing, 100084, China.ORCID 0000-0003-0512-454X
Ningjuan ZhaoSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Yuxin QinSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Ke LiuSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Ruida XiSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Gang ChenSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Haiyan ZhangSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.ORCID 0000-0002-5307-2601
Chu TangEngineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.ORCID 0000-0001-6899-8055
Junyu YanSchool of Mechano-Electronic Engineering, Xidian University, Xian, 710071, China.
Qi GeDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.ORCID 0000-0002-8666-8532
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA. Huanyu.Cheng@psu.edu.ORCID 0000-0001-6075-4208
Yang LuDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, 999077, Hong Kong SAR. ylu1@hku.hk.ORCID 0000-0002-9280-2718
Libo GaoPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen, 361102, China. lbgao@xmu.edu.cn.ORCID 0000-0002-5964-2337
Xidian University · CNPeople 's Liberation Army 451 Hospital · CNXiamen University of Technology · CNAir Force Engineering University · CNPennsylvania State University · USSouthern University of Science and Technology · CNTsinghua University · CNUniversity of Hong Kong · HK

Funding

National Natural Science Foundation of China (National Science Foundation of China) 11922215National Natural Science Foundation of China (National Science Foundation of China) 62274140
6 · The paper itself

Abstract

Post-surgical treatments of the human throat often require continuous monitoring of diverse vital and muscle activities. However, wireless, continuous monitoring and analysis of these activities directly from the throat skin have not been developed. Here, we report the design and validation of a fully integrated standalone stretchable device platform that provides wireless measurements and machine learning-based analysis of diverse vibrations and muscle electrical activities from the throat. We demonstrate that the modified composite hydrogel with low contact impedance and reduced adhesion provides high-quality long-term monitoring of local muscle electrical signals. We show that the integrated triaxial broad-band accelerometer also measures large body movements and subtle physiological activities/vibrations. We find that the combined data processed by a 2D-like sequential feature extractor with fully connected neurons facilitates the classification of various motion/speech features at a high accuracy of over 90%, which adapts to the data with noise from motion artifacts or the data from new human subjects. The resulting standalone stretchable device with wireless monitoring and machine learning-based processing capabilities paves the way to design and apply wearable skin-interfaced systems for the remote monitoring and treatment evaluation of various diseases.

Indexed as

Wearable Electronic DevicesEquipment DesignHumansMotionMovementSoftware

Identifiers

PMID38012169
PMCPMC10682047
OpenAlexW4389035980

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.