Evidence map›Paper›PMID 38074819›Full record

ArticleAmerican journal of translational research2023

Design of intelligent wearable equipment based on real-time dynamic ECG-monitoring system.

Wenshu Liu, Jinmei Zhang, Chunyu Li

Abstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Multi-lead electrocardiogram atrial fibrillation detection algorithm based on multi-scale patch-based attention].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
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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

3 authors.

Wenshu LiuSchool of Design, South China University of Technology, Guangzhou University Guangzhou, Guangdong, China.
Jinmei ZhangSchool of Design, South China University of Technology, Guangzhou University Guangzhou, Guangdong, China.
Chunyu LiElectrocardiogram Department, Affiliated Hospital of Jining Medical University Jining, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe coronavirus disease epidemic has largely restricted the traditional offline medical treatment model. With increasing requirements for virtual medical assistance, the design of smart medical apparel has received more attention.

methodsIn this study, we designed electrocardiography (ECG)-monitoring smart clothing based on the Holter system after identifying and analyzing the needs of patients and doctors. This clothing is a wearable device that integrates monitoring and remote diagnosis, building a general network platform to support remote data transfer and sharing and online interactive auxiliary diagnosis. Creating wearable smart clothing includes multiple dimensions, such as ECG module design, clothing structural design, and a real-time monitoring app. This innovative technology is achieved by intelligently integrating limb lead wires, conductive fiber fabrics, lead interfaces, and electrode signal storage receivers, all based on the human body's sensing conduction principle. Wearable clothing that can monitor ECG in real time is designed and developed by intelligently integrating limb lead wires, conductive fiber fabrics, lead interfaces, and electrode signal storage receivers by using the human body-sensing conduction principle of real-time ECG monitoring.

resultsWearable real-time ECG-monitoring clothing can help patients achieve fast virtual medical care and auxiliary diagnosis and solve the design issues associated with electrode signal storage receivers. In addition, such clothing can be applied to automatically monitor groups at high risk of heart disease.

conclusionsOur design not only meets the accuracy requirements of traditional medical diagnosis but also combines traditional real-time ECG monitoring and smart clothing, providing new options for the daily needs of patients and doctors.

Indexed as

health monitoringheart rate monitoringSmart clothing

Identifiers

PMID38074819
PMCPMC10703661

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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.