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Related Concept Videos

Electrocardiogram01:29

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...
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
ECG Interpretation of Rhythms01:24

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 Fundamentals01:28

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...
Pulse rhythm01:30

Pulse rhythm

Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Instrumentation Amplifier01:25

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...

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Related Experiment Video

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BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals
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BrainBeats as an Open-Source EEGLAB Plugin to Jointly Analyze EEG and Cardiovascular Signals

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Latency variable source separation for heart rate detection in low-quality ECG signals.

R Vullings1, M J Rooijakkers, M Mischi

  • 1Faculty of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. r.vullings@tue.nl

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
Summary

A new Latency Variable Source Separation (LVSS) method enhances low signal-to-noise ratio (SNR) electrocardiogram (ECG) signals. This generic LVSS approach outperforms wavelet-based methods for improving ECG signal quality.

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Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

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Area of Science:

  • Biomedical Engineering
  • Signal Processing

Background:

  • Monitoring heart rate is crucial but challenging with low signal-to-noise ratio (SNR) physiological signals.
  • Existing SNR enhancement methods often require specific signal information and have limited applicability.

Purpose of the Study:

  • To present a generic method, Latency Variable Source Separation (LVSS), for enhancing physiological signals.
  • To derive a matched filter for electrocardiogram (ECG) signal enhancement using LVSS.

Main Methods:

  • Utilizing Latency Variable Source Separation (LVSS) to create a matched filter.
  • Evaluating LVSS performance by comparing its SNR enhancement against wavelet-based methods.

Main Results:

  • The LVSS method demonstrates effective SNR enhancement for electrocardiogram (ECG) signals.
  • LVSS outperforms wavelet-based enhancement methods specifically for low-SNR ECG signals.

Conclusions:

  • LVSS offers a versatile and effective approach for enhancing low-SNR physiological signals, particularly ECG.
  • The generic nature of LVSS suggests potential applications for enhancing various quasi-periodical signals.