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

Holter Monitor: 24-Hour Monitoring

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...
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...
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...
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...

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Related Experiment Video

Updated: May 14, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device.

Dorthe B Nielsena1, Kenneth Egstrup, Jens Branebjerg

  • 1Ørsteds Plads, Bldg. 349, DK-2800 Kgs. Lyngby. dbni@elektro.dtu.dk

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

A new automatic QRS complex detection algorithm for electrocardiogram (ECG) signals achieves high accuracy. This advanced algorithm, designed for the DELTA ePatch, demonstrates excellent performance in identifying cardiac events.

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Technology
  • Signal Processing

Background:

  • Accurate QRS complex detection is crucial for analyzing electrocardiogram (ECG) signals.
  • Existing algorithms may require manual adjustments or lack adaptability to different recording platforms.
  • The DELTA ePatch platform offers a novel approach to ambulatory ECG monitoring.

Purpose of the Study:

  • To design and optimize an automatic QRS complex detection algorithm for ECG signals.
  • To evaluate the algorithm's performance on data from the DELTA ePatch platform.
  • To validate the algorithm's efficacy using a well-established public ECG database.

Main Methods:

  • Development of an automated QRS detection algorithm.
  • Implementation of adaptive single-channel and multi-channel analysis modes.
  • Testing on 11-patient data from the DELTA ePatch and the MIT-BIH Arrhythmia Database (MITDB).

Main Results:

  • The algorithm achieved an average QRS sensitivity and positive predictivity of 99.57% for DELTA ePatch data.
  • On the MIT-BIH Arrhythmia Database, the algorithm demonstrated an average sensitivity and positive predictivity of 99.63%.
  • The algorithm successfully switched between single-channel and multi-channel analysis modes.

Conclusions:

  • The developed automatic QRS detection algorithm is highly accurate and reliable.
  • The algorithm is effective for ECG analysis using the DELTA ePatch platform.
  • This automated approach shows significant potential for clinical application in cardiac monitoring.