Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...

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...

Electroconvulsive Therapy

Electroconvulsive Therapy

Electroconvulsive therapy (ECT), or shock therapy, remains a critical biomedical intervention for severe, treatment-resistant depression. While its origins can be traced back to Hippocrates' observations that malaria-induced convulsions alleviated mental illness, modern ECT has evolved significantly from its earlier, more primitive applications. First introduced in 1938 by Ugo Cerletti and his colleagues, ECT involves inducing controlled seizures using electrical currents. In its early years,...

Disturbances in Heart Rhythm

Disturbances in Heart Rhythm

Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...

ECG Interpretation of Rhythms

ECG Interpretation of Rhythms

An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage. When...

Electrocardiogram Fundamentals

Electrocardiogram Fundamentals

Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Increase of Electrical Impedance Following Hemodialysis Is Not the Reason for QRS Augmentation.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc·2015

Same author

Ventricular beat detection in single channel electrocardiograms.

Biomedical engineering online·2004

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 27, 2026

Electrocardiogram Recordings in Anesthetized Mice using Lead II

Electrocardiogram Recordings in Anesthetized Mice using Lead II

Published on: June 20, 2020

Tremor suppression in ECG.

Ivan A Dotsinsky¹, Georgy S Mihov

¹Center of Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria. iadoc@bas.bg

Biomedical Engineering Online

|November 21, 2008

Summary

This study introduces a novel three-step method to effectively remove high-frequency noise and electromyography (EMG) tremor from electrocardiogram (ECG) signals. The new technique significantly reduces interference while preserving crucial ECG waveform details.

Area of Science:

Biomedical Engineering
Signal Processing
Cardiology

Background:

Electrocardiogram (ECG) signals are frequently corrupted by high-frequency noise, including power-line interference and electromyography (EMG) disturbances (tremor).
Existing interference cancellation methods, like the subtraction procedure, have limitations in fully filtering tremor due to its broad frequency spectrum overlapping useful ECG components.
Effective noise reduction is critical for accurate ECG interpretation and diagnosis.

Purpose of the Study:

To develop and evaluate a novel, multi-step method for robust tremor and power-line interference suppression in ECG signals.
To preserve the integrity of essential ECG waveform components (e.g., QRS complexes) during noise reduction.
To achieve significant reduction in EMG disturbances without introducing substantial signal distortion.

More Related Videos

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Published on: April 5, 2011

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

Related Experiment Videos

Last Updated: Jun 27, 2026

Electrocardiogram Recordings in Anesthetized Mice using Lead II

Electrocardiogram Recordings in Anesthetized Mice using Lead II

Published on: June 20, 2020

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Published on: April 5, 2011

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Real-Time Electrocardiogram Monitoring During Treadmill Training in Mice

Published on: May 5, 2022

Main Methods:

Application of a moving averaging filter (comb filter) with a zero at 50 Hz to simultaneously suppress tremor and power-line interference.
Implementation of a "linearly-angular" procedure to restore reduced QRS complex peaks and other steep waves, preserving high-frequency components up to 125 Hz.
Utilization of a Savitzky-Golay smoothing filter for additional tremor suppression outside of QRS complexes.

Main Results:

Demonstrated low levels of residual EMG disturbances in the processed ECG signals.
Observed negligible distortion of ECG wave shapes, even with variations in cardiac rhythm and morphology.
Successful simultaneous suppression of both power-line interference and EMG tremor.

Conclusions:

The proposed three-step method effectively suppresses high-frequency noise and tremor in ECG recordings.
The technique preserves diagnostically important ECG waveform features, ensuring signal fidelity.
This approach offers a significant improvement for obtaining cleaner ECG signals for clinical analysis.