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

Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

571
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
571
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.1K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.1K
Computed Tomography01:10

Computed Tomography

8.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.1K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

311
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
311
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

295
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
295
Extraction: Effects of pH00:53

Extraction: Effects of pH

1.3K
Consider a neutral form of an amine, B, with a partition coefficient, K, in a liquid mixture containing organic and aqueous phases. The pH of the aqueous phase affects the charge on acidic and basic solutes, and the charged form is usually more soluble in the aqueous phase. Suppose the conjugate acid form of the amine is soluble only in the aqueous phase while the base form is soluble in both phases. Then the distribution coefficient, D, can be given as the ratio of amine concentration in the...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Visual Digital Twins for Arthroplasty: Conceptual Dashboards Integrating Patient Clusters and Clinical Pathways.

Studies in health technology and informatics·2026
Same author

ICD-10 and SNOMED CT Representations of Cognitive Decline in All of Us.

Studies in health technology and informatics·2026
Same author

Digital Cousins in Arthroplasty: An Interpretable Clustering Framework.

Studies in health technology and informatics·2026
Same author

Clinical Pathways and Digital Twins in MIMIC-IV: A Proof-of-Concept Study.

Studies in health technology and informatics·2026
Same author

Designing a Multimodal Data Structure for Cognitive Decline Using All of Us Resources and Gemini Flash Thinking.

Studies in health technology and informatics·2026
Same author

Toward Clinical Digital Twins: A Three-Dimensional Framework for Knowledge Extraction, Pathway Modeling, and Visualization Using MIMIC-IV Data.

Studies in health technology and informatics·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

9.0K

An Edge Computing Method for Extracting Pathological Information from Phonocardiogram.

Arash Gharehbaghi1, Amir A Sepehri2, Ankica Babic3

  • 1School of Innovation, Design and Technology, Mälardalen University, Västerås, Sweden.

Studies in Health Technology and Informatics
|July 27, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an Internet of Things (IoT) decision support system for pediatric cardiac disease. The system accurately classifies heart sounds into normal, mild, or critical conditions using edge processing.

Keywords:
Time growing neural networkedge processinginternet of things.

More Related Videos

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

827
A Computational Method to Quantify Fly Circadian Activity
13:05

A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

6.3K

Related Experiment Videos

Last Updated: Jan 21, 2026

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

9.0K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

827
A Computational Method to Quantify Fly Circadian Activity
13:05

A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

6.3K

Area of Science:

  • Biomedical Engineering
  • Artificial Intelligence in Healthcare
  • Internet of Things (IoT)

Background:

  • Pediatric cardiac diseases require timely and accurate diagnosis.
  • Existing diagnostic methods can be invasive or require specialized equipment.
  • Integrating IoT with edge computing offers a novel approach for remote health monitoring.

Purpose of the Study:

  • To develop and validate an IoT-based decision support system for classifying pediatric cardiac conditions.
  • To implement intelligent decision-making at the edge processing level for real-time analysis.
  • To evaluate the system's performance in classifying heart sound signals into normal, mild, and critical disease categories.

Main Methods:

  • Development of an Internet of Things (IoT) framework for a decision support system.
  • Edge processing for intelligent decision-making and heart sound signal classification.
  • Introduction of Type 1, 2, and 3 errors for performance evaluation.
  • Validation using 140 real patient records from hospital referrals.

Main Results:

  • The system achieved 0% negative errors for Type 1 (critical disease misclassification) and 4.8% for Type 2 (mild disease misclassification).
  • Positive errors were 6.3% for Type 1 and 13.3% for Type 2.
  • Type 3 errors (normal condition misclassification) were calculated at 16.7%.
  • The system demonstrated high sensitivity for use in an IoT healthcare framework.

Conclusions:

  • The proposed IoT decision support system effectively classifies pediatric cardiac conditions using edge processing.
  • The system shows promising accuracy and sensitivity for real-time cardiac health monitoring in an IoT setting.
  • This approach has the potential to enhance early detection and management of pediatric heart diseases.