Evidence map›Paper›PMID 41249123›Full record

ArticleMicrosystems & nanoengineering2025

A non-invasive, flexible, lightweight, and wearable system for real-time ECG monitoring in freely moving mice.

Youli Yao, Cong Pan, Jinbin Li, Zhiyuan Wang, Ying Xie, Luyang Zhang, Xiaofei Liu, Ge Song, Yanan Ding, Qiang Liu and 2 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

12 authors.

Youli YaoCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Cong PanCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Jinbin LiQingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong, China.
Zhiyuan WangCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Ying XieCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Luyang ZhangCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Xiaofei LiuChina United Network Communications Co., Ltd. Qingdao Branch, Qingdao, Shandong, China.
Ge SongCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Yanan DingCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Qiang LiuCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Da ChenCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China. chenda@sdust.edu.cn.
Yijian LiuCollege of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China. liuyijian@sdust.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62371275
6 · The paper itself

Abstract

ECG monitoring in mice is an essential tool for assessing physiological health. However, acquiring high-quality ECG signals from freely moving and conscious mice has remained a significant technical challenge. This study presents a non-invasive wearable real-time ECG monitoring platform for mice, integrating hollow ultra-flexible electrodes with a soft wireless circuit system, enabling high-fidelity real-time ECG monitoring during free activity. Using microfabrication and transfer techniques, we developed ultra-flexible electrodes that are scalable for large-area manufacturing and customizable to specific requirements. These electrodes conform tightly to the surfaces of the mouse's heart, abdomen, and limbs, enabling high-quality ECG signal acquisition. Even under 40% strain, the electrodes maintain stable mechanical and electrical performance. Experimental results demonstrate that the acquired ECG signals exhibit clear and distinguishable QRS waveforms, with amplitudes comparable to those obtained using traditional needle electrodes. In addition, we designed and developed a wearable soft wireless circuit system encapsulated in an "electronic backpack" mounted on the mouse's back. This system features low-power wireless signal transmission, enabling real-time, long-term ECG signal acquisition. To validate system performance, we established a mouse myocardial infarction model and used the platform for ECG signal monitoring and analysis. The results showed typical features such as ST-segment elevation and baseline abnormalities, which are highly consistent with clinical observations. The proposed non-invasive wearable ECG monitoring platform provides an innovative, cost-effective solution for high-efficiency physiological signal acquisition and drug evaluation in mice, offering broad application potential and significant value for further development.

Identifiers

PMID41249123
PMCPMC12623942

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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.