Evidence map›Paper›PMID 30678252›Full record

ArticleSensors (Basel, Switzerland)2019

A Fetal ECG Monitoring System Based on the Android Smartphone.

Li Yuan, Yanchao Yuan, Zhuhuang Zhou, Yanping Bai, Shuicai Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Li YuanCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. 18811712052@163.com.
Yanchao YuanCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. yuanyc798@163.com.
Zhuhuang ZhouCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. zhouzh@bjut.edu.cn.ORCID 0000-0003-0570-8473
Yanping BaiCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. baiyanping@bjut.edu.cn.
Shuicai WuCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China. wushuicai@bjut.edu.cn.

Funding

Beijing Municipal Natural Science Foundation 4184081National Natural Science Foundation of China 11804013National Natural Science Foundation of China 61801312National Natural Science Foundation of China 61871005National Natural Science Foundation of China 71661167001
6 · The paper itself

Abstract

In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs.

Indexed as

AlgorithmsSmartphoneSoftwareElectrocardiographyFemaleFetal MonitoringHumansPregnancySignal Processing, Computer-AssistedWearable Electronic DevicesWireless TechnologyAndroid smartphonefast fixed-point algorithm for independent component analysis (FastICA)fetal electrocardiogram (ECG)non-invasive monitoringwearable ECG collector

Identifiers

PMID30678252
PMCPMC6386851

What OpenQuestion holds

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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.