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Related Concept Videos

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...
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...
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
Pulse Oximetry01:24

Pulse Oximetry

Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
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...
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...

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Related Experiment Video

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

Published on: April 19, 2019

Development of QRS detection algorithm designed for wearable cardiorespiratory system.

Mourad Adnane1, Zhongwei Jiang, Samjin Choi

  • 1Department of Mechanical Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube, Yamaguchi, 755-8611, Japan. j501wc@yamaguchi-u.ac.jp

Computer Methods and Programs in Biomedicine
|September 13, 2008
PubMed
Summary

A novel algorithm enhances electrocardiography (ECG) analysis for sleep monitoring by accurately detecting QRS complexes, improving heart rate variability (HRV) measures from wearable sensors.

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Signal Processing
  • Wearable Health Technology

Background:

  • In-home sleep monitoring systems require accurate electrocardiography (ECG) signal analysis.
  • Existing systems suffer from motion artifact noise, compromising ECG data quality.
  • Reliable QRS complex detection is crucial for accurate ECG-based health assessments.

Purpose of the Study:

  • To develop a high-accuracy QRS detection algorithm for noisy ECG signals.
  • To evaluate the algorithm's performance using data from a novel cardiorespiratory belt system.
  • To assess the algorithm's utility in calculating heart rate variability (HRV) measures.

Main Methods:

  • Developed a QRS detection algorithm combining heart rate indicators and morphological ECG features.
  • Tested the algorithm on 16-hour data from polyvinylidene fluoride (PVDF) film and conductive fabric sensors.
  • Validated performance against the MIT/BIH Arrhythmia Database.

Main Results:

  • Achieved high sensitivity (Se) and positive predictivity (P+) for QRS detection.
  • Results showed Se=[96.98%, 93.76%] and P+=[97.81%, 99.48%] for conductive fabric and PVDF sensors.
  • Demonstrated excellent performance on the MIT/BIH database (Se=99.77%, P+=99.64%).

Conclusions:

  • The developed algorithm significantly improves QRS detection accuracy in noisy ECG signals.
  • The algorithm is effective when used with the laboratory's cardiorespiratory belt sensors.
  • The system provides reliable HRV measures, comparable to commercial systems, highlighting its clinical potential.