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Electrocardiogram Fundamentals

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...

Electrocardiogram

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...

Holter Monitor: 24-Hour Monitoring

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...

Instrumentation Amplifier

Instrumentation Amplifier

An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...

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Related Experiment Video

Updated: Feb 20, 2026

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

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

Published on: December 11, 2019

A cancelable biometric scheme based on multi-lead ECGs.

Peng-Tzu Chen, Shun-Chi Wu, Jui-Hsuan Hsieh

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 25, 2017

Summary

This summary is machine-generated.

This study introduces a cancelable biometric system using electrocardiogram (ECG) signals for enhanced privacy. The novel approach achieves high recognition rates without needing distortion transform knowledge.

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Area of Science:

Biometrics and Signal Processing
Cybersecurity and Privacy Engineering

Background:

Biometric technologies offer robust identification but raise privacy concerns.
Existing cancelable biometric schemes often require knowledge of the distortion transform for recognition.

Purpose of the Study:

To propose a novel electrocardiogram (ECG)-based cancelable biometric scheme to address privacy concerns.
To develop a system that does not require knowledge of the distortion transform for identity verification.

Main Methods:

Constructing distinct biometric templates from ECG beat bundles using "subspace collapsing."
Employing the "suppression and poll" strategy with the multiple signal classification (MUSIC) algorithm for identity determination.

Main Results:

The proposed scheme demonstrated efficacy on real ECG data from 285 subjects.
Achieved a maximum recognition rate of 97.58% under specific experimental conditions (Ntrain = 10, Ntest = 10).

Conclusions:

The developed ECG-based cancelable biometric system effectively enhances user privacy.
The MUSIC algorithm with the "suppression and poll" strategy offers a viable recognition method for cancelable biometrics.