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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

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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...
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ECG Interpretation of Rhythms01:24

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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....
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Pulse rhythm01:30

Pulse rhythm

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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...
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Electrocardiogram Fundamentals01:28

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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...
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Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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...
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Efficient ECG Compression and QRS Detection for E-Health Applications.

Mohamed Elgendi1,2, Amr Mohamed3, Rabab Ward4

  • 1Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada. mohamed.elgendi@cw.bc.ca.

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A new lossy electrocardiogram (ECG) compression method significantly improves QRS complex detection accuracy. This method offers high compression ratios and low data distortion, crucial for portable medical devices.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiology

Background:

  • Modern medical screening increasingly utilizes longer electrocardiogram (ECG) signals.
  • Traditional ECG processing on personal computers is being replaced by battery-driven devices, necessitating efficient, low-power solutions.
  • Existing ECG compression methods often lack detailed analysis of QRS complex detection accuracy post-compression.

Purpose of the Study:

  • To propose and evaluate novel ECG compression methods.
  • To assess compression performance based on compression ratio (CR), percentage root-mean-square difference (PRD), and QRS complex detection accuracy.
  • To compare a new lossy method (Method III) against existing lossless (Method I) and lossy (Method II) compression techniques.

Main Methods:

  • Development of a novel lossy ECG compression algorithm (Method III).
  • Evaluation of Method III against established lossless (Method I) and lossy (Method II) compression techniques.
  • Performance assessment using the MIT-BIH Arrhythmia and QT databases, focusing on CR, PRD, and QRS detection metrics (sensitivity, positive predictivity).

Main Results:

  • The proposed lossy Method III achieved a compression ratio (CR) of 4.5× and a percentage root-mean-square difference (PRD) of 0.53.
  • On the MIT-BIH Arrhythmia database, Method III demonstrated a sensitivity of 99.78% and positive predictivity of 99.92% for QRS detection.
  • On the QT database, Method III achieved a sensitivity of 99.90% and positive predictivity of 99.84% for QRS detection.

Conclusions:

  • The developed lossy ECG compression method (Method III) effectively balances high compression ratios with minimal data loss.
  • This method significantly preserves QRS complex detection accuracy, outperforming existing techniques in this critical diagnostic parameter.
  • Method III presents a viable, efficient, and accurate solution for on-device ECG signal processing in portable healthcare applications.