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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 the T...

Pulse rhythm

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 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...

Correlation between ECG and Cardiac Cycle

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...

ECG Interpretation of Rhythms

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...

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Related Experiment Video

Updated: Jun 1, 2026

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

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

Published on: April 19, 2019

A real-time ECG data compression and transmission algorithm for an e-health device.

SangJoon Lee¹, Jungkuk Kim, Myoungho Lee

¹Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, Korea. sj.lee@yonsei.ac.kr

IEEE Transactions on Bio-Medical Engineering

|May 25, 2011

Summary

This summary is machine-generated.

This study presents a novel real-time algorithm for compressing and transmitting electrocardiogram (ECG) signals from e-health devices. The algorithm achieves high compression ratios while maintaining signal fidelity, making it ideal for low-bandwidth communication.

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Area of Science:

Biomedical Engineering
Signal Processing
Telemedicine

Background:

Efficient data transmission is crucial for remote patient monitoring and e-health applications.
Periodic electrocardiogram (ECG) signals require effective compression techniques for storage and transmission, especially in resource-constrained environments.
Existing algorithms may face limitations in balancing compression ratio and signal reconstruction accuracy.

Purpose of the Study:

To introduce and evaluate a novel real-time data compression and transmission algorithm for periodic ECG signals.
To assess the algorithm's performance using standard metrics such as compression ratio (CR) and percent root mean square difference (PRD).
To compare the proposed algorithm against existing methods for e-health data transmission.

Main Methods:

The proposed algorithm incorporates five compression and four reconstruction procedures.
Performance evaluation involved applying the algorithm to the MIT-BIH arrhythmia database (48 recordings).
Key metrics measured include CR, PRD, PRDN, rms, SNR, and QS with a 15% window size.

Main Results:

The algorithm achieved an average CR of 27.9:1 and an average PRD of 2.93 across all 48 recordings.
Superior performance was observed compared to similar algorithms at compression ratios below 15:1.
At higher compression ratios (above 20:1), the algorithm showed comparable or slightly inferior PRD, but still maintained clinically relevant signal similarity.

Conclusions:

The developed algorithm offers a significant improvement in performance over existing methods, particularly for achieving high compression ratios with acceptable signal fidelity.
Its real-time capability makes it an optimal solution for biosignal data transmission in e-health devices with limited bandwidth.
The algorithm facilitates efficient and reliable remote monitoring through effective ECG data management.