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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...

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 to...

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...

Dysrhythmias V: Evaluating Dysrhythmias

Dysrhythmias V: Evaluating Dysrhythmias

Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...

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...

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...

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ECG feature extraction and disease diagnosis.

Channappa Bhyri¹, S T Hamde, L M Waghmare

¹PDA College of Engineering, Gulbarga, Karnataka, India. channubhyri@yahoo.com

Journal of Medical Engineering & Technology

|July 21, 2011

Summary

This study introduces a novel method for electrocardiogram (ECG) analysis using wavelet transform (WT) and LabVIEW for accurate heart disease diagnosis by extracting key waveform features.

Area of Science:

Biomedical Engineering
Signal Processing
Cardiology

Background:

Electrocardiogram (ECG) interpretation is complex due to physiological, technical, and pathophysiological influences on waveforms.
Accurate feature extraction is crucial for reliable clinical decision-making from ECG data.

Purpose of the Study:

To develop and validate a method for ECG feature extraction and heart disease diagnosis.
To utilize wavelet transform (WT) and LabVIEW for enhanced signal processing and analysis.

Main Methods:

ECG signal denoising using LabVIEW signal processing tools.
R-peak detection employing Haar wavelet decomposition and thresholding.
P-wave and T-wave detection using Daubechies (db6) wavelet on low-resolution signals.

Related Experiment Videos

Extraction of diagnostic features including heart rate, wave widths, amplitudes, durations, ST segment, and frontal plane axis.

Application of a scoring pattern for heart disease diagnosis.

Main Results:

Successful R-peak, P-wave, and T-wave detection using specified wavelet techniques.
Extraction of multiple quantitative ECG parameters for diagnostic assessment.
Consideration of specific heart conditions: tachycardia, bradycardia, left ventricular hypertrophy, right ventricular hypertrophy, and myocardial infarction.

Conclusions:

The proposed WT and LabVIEW-based method effectively extracts crucial ECG features for heart disease diagnosis.
This approach offers a robust tool for analyzing ECG signals, aiding in the identification of various cardiac conditions.