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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...
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...
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...
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...
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: Jun 20, 2026

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

Published on: April 26, 2024

Embedding and retrieving private metadata in electrocardiograms.

Suleyman S Kozat1, Michail Vlachos, Claudio Lucchese

  • 1Koç University, Istanbul, Turkey.

Journal of Medical Systems
|August 25, 2009
PubMed
Summary
This summary is machine-generated.

This study embeds sensitive patient data directly into Electrocardiogram (ECG) signals using watermarking techniques. This method securely hides personal information while preserving diagnostic quality and enabling data authentication.

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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

Area of Science:

  • Biomedical Engineering
  • Data Security
  • Signal Processing

Background:

  • Increasing identity theft necessitates robust protection for sensitive medical data.
  • Current methods like encryption have limitations; alternative approaches for securing patient information are needed.
  • Medical time-series signals, specifically Electrocardiograms (ECG), contain vital patient information requiring secure handling.

Purpose of the Study:

  • To develop a novel method for embedding and retrieving sensitive patient metadata within ECG signals.
  • To enhance medical data security by fusing sensitive information directly into the signal.
  • To provide data authentication and origin assurance for medical signals.

Main Methods:

  • Utilizing watermarking principles to embed sensitive numerical data (e.g., social security number, birth date) into ECG signals.
  • Implementing multistage watermarking with both robust and fragile components for resilience and fault tolerance.
  • Developing techniques for efficient embedding and retrieval of the hidden metadata without distorting diagnostic ECG characteristics.

Main Results:

  • Successfully embedded and retrieved sensitive patient data within real ECG signals.
  • Demonstrated that the watermarking technique does not negatively impact crucial ECG characteristics for medical diagnosis.
  • Validated the resilience and fault tolerance of the multistage watermarking approach.
  • Showcased the potential for data ownership authentication and origin assurance.

Conclusions:

  • The proposed watermarking scheme is a viable method for securely embedding sensitive metadata into ECG signals.
  • This technique offers a promising alternative to traditional encryption for protecting patient privacy in medical data.
  • The method ensures data integrity and authenticity while maintaining the diagnostic utility of ECG signals.