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

Bode Plots Construction

Bode Plots Construction

The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):

Instrumentation Amplifier

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...

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...

Passive Filters

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff frequency...

You might also read

Related Articles

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

Sort by

Same author

Successful use of guselkumab in the treatment of severe hidradenitis suppurativa.

Clinical and experimental dermatology·2020

Same author

Measurements of the associated production of a Z boson and b jets in pp collisions at <math> </math>.

The European physical journal. C, Particles and fields·2020

Same author

Single-Dose Focal Salvage High Dose Rate Brachytherapy for Locally Recurrent Prostate Cancer.

Clinical oncology (Royal College of Radiologists (Great Britain))·2019

Same author

Enrichment of Plasma Cells in the Peripheral Blood and Skin of Patients with Hidradenitis Suppurativa.

The Journal of investigative dermatology·2019

Same author

Spironolactone therapy for hidradenitis suppurativa.

Clinical and experimental dermatology·2019

Same author

Complementary and alternative medicine use in hidradenitis suppurativa.

The British journal of dermatology·2019

Search research articles

Related Experiment Video

Updated: May 9, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

High-pass filtering to remove electrocardiographic interference from torso EMG recordings.

M Redfern¹, R Hughes, D Chaffin

¹Movement Analysis Laboratory, The Eye & Ear Institute of Pittsburgh, The University of Pittsburgh, USA.

Clinical Biomechanics (Bristol, Avon)

|August 7, 2013

Summary

High-pass filtering effectively reduces electrocardiographic (ECG) contamination in electromyographic (EMG) signals from torso muscles. An optimal cut-off frequency of approximately 30 Hz balances ECG removal with signal integrity.

More Related Videos

Assessing Functional Recovery of Eupneic Diaphragm Activity Following Unilateral Cervical Spinal Cord Hemisection in Rats

Assessing Functional Recovery of Eupneic Diaphragm Activity Following Unilateral Cervical Spinal Cord Hemisection in Rats

Published on: June 14, 2024

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

Related Experiment Videos

Last Updated: May 9, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

Published on: January 24, 2025

Assessing Functional Recovery of Eupneic Diaphragm Activity Following Unilateral Cervical Spinal Cord Hemisection in Rats

Assessing Functional Recovery of Eupneic Diaphragm Activity Following Unilateral Cervical Spinal Cord Hemisection in Rats

Published on: June 14, 2024

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

Area of Science:

Biomedical Engineering
Neuroscience
Biomechanics

Background:

Electromyographic (EMG) signals from torso muscles are crucial for biomechanical models.
Electrocardiographic (ECG) interference frequently contaminates these EMG recordings.
High-pass filtering is a common but under-investigated method to reduce ECG contamination.

Purpose of the Study:

To investigate the impact of high-pass filter cut-off frequencies on EMG signals from torso muscles.
To determine the optimal cut-off frequency for reducing ECG contamination while preserving EMG signal quality.

Main Methods:

Surface EMGs were recorded from rectus abdominis, external oblique, and erector spinae muscles in five subjects.
Signals were digitally high-pass filtered at 10, 30, and 60 Hz.
Integrated EMG and power analyses were performed on the filtered signals.

Main Results:

Increasing the cut-off frequency reduced ECG contamination and smoothed the EMG signal.
Higher cut-off frequencies also decreased the EMG signal amplitude.
A cut-off frequency of approximately 30 Hz was found to be optimal.

Conclusions:

High-pass filtering is an effective technique for reducing ECG interference in integrated EMG recordings.
The choice of cut-off frequency is critical; inappropriate settings can lead to incomplete artifact removal or excessive signal filtering.
Approximately 30 Hz is recommended as an optimal cut-off frequency for torso muscle EMG analysis.