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Electrocardiogram

Electrocardiogram

An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...

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Related Experiment Video

Updated: Jun 14, 2026

Noninvasive Electrocardiography in the Perinatal Mouse

Noninvasive Electrocardiography in the Perinatal Mouse

Published on: June 12, 2020

[Fetal electrocardiogram extraction based on nonlinear time series analysis].

Chen Wang¹, Mingrong Ren, Pu Wang

¹College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China. chen840318@sina.com

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|March 27, 2010

Summary

This summary is machine-generated.

This study presents a novel non-linear projection technique to effectively isolate fetal electrocardiogram (ECG) signals from maternal recordings. The method successfully separates fetal ECG from maternal traces and other interferences.

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Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

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Published on: January 7, 2021

Area of Science:

Biomedical Engineering
Signal Processing
Cardiology

Context:

Maternal-fetal monitoring relies on accurate electrocardiogram (ECG) signals.
Single-lead abdominal recordings contain complex overlapping signals.
Separating fetal ECG from maternal ECG and noise is a significant challenge.

Purpose:

To develop and validate a local non-linear projection technique for fetal ECG extraction.
To identify and illustrate key algorithmic parameters for effective signal separation.
To assess the efficacy of the proposed method in isolating the fetal cardiac signal.

Summary:

A local non-linear projection algorithm was applied to single-lead abdominal recordings.
Four critical parameters of the algorithm were determined and demonstrated.
Experimental results confirm the method's effectiveness in separating fetal ECG from maternal signals and noise.

Impact:

Provides a robust method for non-invasive fetal ECG analysis.
Enhances the accuracy of fetal health monitoring during pregnancy.
Offers potential for improved diagnostic capabilities in prenatal care.