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Related Concept Videos

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...
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...
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
ECG Interpretation of Rhythms01:24

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...
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...
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...

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Related Experiment Video

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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
08:12

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

Published on: June 5, 2019

Heart rate variability analysis using a seismocardiogram signal.

J Ramos-Castro1, J Moreno, H Miranda-Vidal

  • 1Group of Biomedical and Electronic Instrumentation of the Department of Electronic Engineering of the Universitat Politècnica de Catalunya (UPC), Barcelona, 08034 Spain. jramos@eel.upc.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary
This summary is machine-generated.

This study explores seismocardiography (SCG) using smartphone accelerometers to measure heart rate. SCG heart rate variability (HRV) closely matches ECG, with minor differences below 10 ms, despite device sampling rate instability.

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Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Wearable Technology

Background:

  • Seismocardiography (SCG) non-invasively records cardiac activity via body vibrations.
  • Smartphone accelerometers offer a potential low-cost tool for physiological monitoring.
  • Assessing heart rate variability (HRV) is crucial for cardiovascular health evaluation.

Purpose of the Study:

  • To evaluate the feasibility of using smartphone-based seismocardiography for heart rate estimation.
  • To compare heart rate variability parameters derived from SCG with electrocardiography (ECG) reference signals.
  • To identify factors influencing the accuracy of smartphone-derived SCG measurements.

Main Methods:

  • Utilized smartphone accelerometers to capture body vibrations indicative of cardiac activity.
  • Recorded seismocardiogram (SCG) signals and simultaneously acquired electrocardiogram (ECG) data.
  • Analyzed heart rate and heart rate variability (HRV) parameters from both SCG and ECG signals.
  • Investigated the impact of device sampling frequency instability on HRV analysis.

Main Results:

  • Smartphone-based SCG successfully estimated heart rate with high similarity to ECG.
  • Heart rate variability parameters derived from SCG showed strong correlation with ECG.
  • Differences in RR intervals between SCG and ECG were consistently below 10 milliseconds.
  • Sampling frequency instability of the smartphone device was identified as a significant factor affecting SCG accuracy.

Conclusions:

  • Smartphone seismocardiography presents a promising, non-invasive method for heart rate and HRV assessment.
  • The accuracy of SCG is influenced by the stability of the device's sampling frequency.
  • Further research with improved device stability could enhance the clinical utility of mobile SCG.