Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Geometric Mean01:15

Geometric Mean

4.0K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
4.0K
Geometric Sequences01:30

Geometric Sequences

284
In systems where values diminish by a constant proportion at each stage, the resulting sequence follows a geometric structure. Each new value in the sequence is obtained by applying a fixed multiplier to the preceding term. This regular, proportional decline type is often used to represent processes involving gradual loss, such as energy dissipation or reduction in amplitude over time.When analyzing the total effect of such a process across unlimited iterations, the series of values is referred...
284
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

6.2K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
6.2K
Maslow's Need Hierarchy Theory01:27

Maslow's Need Hierarchy Theory

1.1K
Abraham Maslow's theory of motivation, introduced in 1943, is widely known as the "Hierarchy of Needs." This theory posits that human needs are arranged in a hierarchical structure, starting with basic survival needs and progressing toward more complex psychological and self-fulfillment desires. The hierarchy is typically a pyramid, and the lower needs must be satisfied to reach the next level.
At the pyramid's base are physiological needs, including food, water, and shelter...
1.1K
Muscle Contraction01:15

Muscle Contraction

96.2K
 
96.2K
Muscle Contraction01:10

Muscle Contraction

8.9K
In skeletal muscles, acetylcholine is released by nerve terminals at the motor endplate—the point of synaptic communication between motor neurons and muscle fibers. The binding of acetylcholine to its receptors on the sarcolemma allows entry of sodium ions into the cell and triggers an action potential in the muscle cell. Thus, electrical signals from the brain are transmitted to the muscle. Subsequently, the enzyme acetylcholinesterase breaks down acetylcholine to prevent excessive...
8.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Homoharringtonine exhibits senotherapeutic activity that mitigates diet- and age-associated obesity and insulin resistance and extends lifespan in mice.

Nature communications·2026
Same author

Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessions on the physicochemical composition of seeds.

BMC plant biology·2025
Same author

Multivariate Adaptability of Tropical Wheat Cultivars to Drought and Salinity Stresses.

Plants (Basel, Switzerland)·2025
Same author

Structural Damage Detection Using PZT Transmission Line Circuit Model.

Sensors (Basel, Switzerland)·2024
Same author

N-Acetylcysteine Alters Disease Progression and Increases Janus Kinase Mutation Frequency in a Mouse Model of Precursor B-Cell Acute Lymphoblastic Leukemia.

The Journal of pharmacology and experimental therapeutics·2024
Same author

Models for predicting coffee yield from chemical characteristics of soil and leaves using machine learning.

Journal of the science of food and agriculture·2024

Related Experiment Video

Updated: Jan 30, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine

Bruno Rodrigues de Oliveira1, Caio Cesar Enside de Abreu2, Marco Aparecido Queiroz Duarte3

  • 1Department of Electrical Engineering, São Paulo State University (UNESP), Ilha Solteira, Brazil.

Computer Methods and Programs in Biomedicine
|January 15, 2019
PubMed
Summary
This summary is machine-generated.

A new method accurately recognizes premature ventricular contractions (PVCs) using simplified geometric features from electrocardiogram (ECG) QRS complexes. This approach offers effective diagnosis support with low computational load.

Keywords:
Electrocardiogram analysisGeometrical featuresPremature Ventricular Contraction

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Related Experiment Videos

Last Updated: Jan 30, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.0K

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Premature ventricular contractions (PVCs) are linked to coronary heart disease risk.
  • Diagnosis often requires lengthy heart monitoring, commonly using Holter devices.
  • Computational tools can aid specialists in identifying PVCs.

Purpose of the Study:

  • To introduce a novel method for recognizing premature ventricular contractions (PVCs).
  • To utilize simplified geometric features derived from QRS complexes for PVC detection.
  • To develop an efficient computational tool for cardiac monitoring.

Main Methods:

  • Wavelet denoising and signal scaling for electrocardiogram (ECG) preprocessing.
  • Segmentation based on ventricular depolarization timing.
  • Extraction of novel geometrical features from QRS complexes.
  • Validation using eight classifiers and the Analytic Hierarchy Process for selection.

Main Results:

  • Artificial Immune System achieved 98.4% accuracy, 91.1% sensitivity, and 98.7% specificity.
  • Support Vector Machine classifier reached 99.0% accuracy, 98.5% sensitivity, and 99.5% specificity with balanced data.
  • The system demonstrated high recognition performance and effectiveness.

Conclusions:

  • The proposed method is effective for recognizing premature ventricular contractions.
  • The system offers a low computational load, suitable for practical applications.
  • This approach provides a valuable tool for cardiac monitoring and diagnosis.