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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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Related Experiment Video

Updated: Oct 7, 2025

Objectively Assessing Sports Concussion Utilizing Visual Evoked Potentials
12:11

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A Routine Electroencephalography Monitoring System for Automated Sports-Related Concussion Detection.

Amirsalar Mansouri1, Patrick Ledwidge2, Khalid Sayood1

  • 1Department of Electrical and Computer Engineer, Baldwin Wallace University, Berea, Ohio, USA.

Neurotrauma Reports
|January 12, 2022
PubMed
Summary
This summary is machine-generated.

Electroencephalography (EEG) can detect sports-related concussions with 99.5% accuracy. This monitoring method helps identify injuries early, preventing further damage, especially in athletes.

Keywords:
EEGEEG monitoringSVMelectrode networksnon-patient-specificsports-related concussion

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Area of Science:

  • Neuroscience
  • Sports Medicine
  • Biomedical Engineering

Background:

  • Concussion incidence is rising, with 2-3 million cases annually in the US.
  • Recovery varies by age, injury severity, and concussion history; subsequent concussions pose greater risks.
  • Electroencephalography (EEG) detects brain abnormalities and is increasingly used for neurological disorders.

Purpose of the Study:

  • To evaluate EEG's accuracy in detecting sports-related concussions.
  • To explore EEG monitoring as a tool for preventing long-term damage from unreported injuries.
  • To identify optimal EEG recording parameters for concussion detection.

Main Methods:

  • A longitudinal study analyzed EEG from 4 football athletes before and after concussion.
  • EEG data was compared to a control group of 4 athletes.
  • Classifiers were developed using EEG data from specific scalp regions and frequency bands.

Main Results:

  • EEG detected concussions with up to 99.5% accuracy in the Theta-Alpha band.
  • Effective classifiers utilized Central scalp region (Beta band) and Temporal scalp region (Theta-Alpha band).
  • Subsets of EEG electrodes provided reliable detection, simplifying the monitoring process.

Conclusions:

  • EEG monitoring shows high accuracy in identifying sports-related concussions.
  • This technology can aid in reducing unreported injuries and preventing severe outcomes.
  • EEG offers a practical alternative to other brain-imaging techniques for concussion assessment.