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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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Seizures: Classification01:13

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Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
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Pulse rhythm01:30

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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.
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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.
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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.
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot.

Jesper Jeppesen1, Sándor Beniczky2, Peter Johansen3

  • 1Department of Neurophysiology, Aarhus University Hospital, Noerrebrogade 44, 8000 Aarhus C, Denmark.

Seizure
|January 8, 2015
PubMed
Summary

This study evaluated heart rate variability (HRV) methods to detect epileptic seizures. Modified CSI100 accurately identified seizures, distinguishing them from exercise, suggesting potential for an epilepsy alarm.

Keywords:
Autonomic nervous systemEpilepsyHeart rate variability (HRV)Lorenz plotSeizure alarmSeizure detection

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Area of Science:

  • Cardiology
  • Neurology
  • Biomedical Engineering

Background:

  • Epileptic seizures can cause significant physiological changes.
  • Distinguishing seizures from physical activity like exercise is crucial for accurate detection.
  • Heart rate variability (HRV) analysis offers a non-invasive method to assess autonomic nervous system function.

Purpose of the Study:

  • To evaluate four different heart rate variability (HRV) methods for detecting focal epileptic seizures.
  • To differentiate seizure-induced HRV changes from those caused by exercise.
  • To assess the efficacy of short-term moving window analysis in HRV for seizure detection.

Main Methods:

  • Four HRV methods were analyzed: reciprocal high frequency power, Cardiac Sympathetic Index (CSI), Modified CSI, and heart rate differential method.
  • Analysis utilized short-term moving windows of 30, 50, or 100 R-R intervals/seconds.
  • Seventeen patients with 47 seizures were monitored using long-term video-EEG; detection was positive if HRV exceeded 105% of exercise/non-seizure values.

Main Results:

  • The Modified CSI with a 100-second window (Modified CSI100) demonstrated the highest accuracy.
  • Modified CSI100 detected seizures in 13 out of 17 patients within 6 seconds before to 50 seconds after seizure onset.
  • All three secondary generalized tonic-clonic (sGTC) seizures were detected over 30 seconds before the tonic-clonic phase.

Conclusions:

  • A sudden shift towards sympathetic overdrive in autonomic nervous system balance is detectable around seizure onset.
  • The Modified CSI shows promise as a parameter for a portable, ECG-based epilepsy alarm.
  • This method can detect both focal and secondary generalized tonic-clonic (sGTC) seizures.