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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

862
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
862
Distributed Loads01:19

Distributed Loads

736
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
736

You might also read

Related Articles

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

Sort by
Same author

Subcellular Localization of Telomerase Reverse Transcriptase Regulates Gene-Specific Modulation of Mitochondrial DNA Copy Number in Neuronal Cells.

Molecular neurobiology·2026
Same author

Structural integrity vs. clinical utility: a critical review of bio-inductive scaffolds and autologous alternatives in rotator cuff repair.

Frontiers in medicine·2026
Same author

Ultrafast Photothermal Conversion of Ru/Zn Heterometallic Metal-Organic Framework for Synergistic Catalytic CO<sub>2</sub> Fixation.

Journal of the American Chemical Society·2026
Same author

Synergistic induction of immunogenic cell death in triple-negative breast cancer cells by cold atmospheric plasma and pulsed electric field.

Bioelectrochemistry (Amsterdam, Netherlands)·2026
Same author

Intraoperative direct coronary angiography clarifying a misleading coronary stenosis caused by an ascending aortic floating thrombus: a case report.

Journal of cardiothoracic surgery·2026
Same author

Fruquintinib Plus TAS-102 With or Without SBRT as Third- Or Later-Line Therapy for Metastatic Colorectal Cancer: Preliminary Results From a Prospective Phase II Trial.

Cancer medicine·2026

Related Experiment Video

Updated: Nov 3, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.2K

Dynamic data processing system for sports training system using internet of things.

Zhi Fang1, Rajendra Prasad Mahapatra2, P Selvaraj3

  • 1Department of Physical Education, Southeast University, Nanjing, Jiangsu, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|June 7, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a Dynamic data processing system (DDPS) using the Internet of Things (IoT) for enhanced athlete health monitoring. The system significantly improves accuracy and efficiency in processing workout data.

Keywords:
IoTefficiencylearning processphysical educationsensing equipment’s

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.4K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

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

Published on: April 19, 2019

12.0K

Related Experiment Videos

Last Updated: Nov 3, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.2K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.4K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

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

Published on: April 19, 2019

12.0K

Area of Science:

  • Sports Science
  • Data Science
  • Wearable Technology

Background:

  • The Internet of Things (IoT) is increasingly integrated into sports training systems.
  • IoT facilitates optimized health data processing for athletes during workouts.

Purpose of the Study:

  • To propose a Dynamic data processing system (DDPS) leveraging IoT for sports training tracking.
  • To explore conventional design architectures for sports training monitoring.

Main Methods:

  • Utilizing wearable IoT devices for continuous monitoring of athletes' physical activity.
  • Implementing a DDPS for efficient data processing and analysis of athlete conditions.
  • Employing Deep Neural Networks (DNN) to extract key sports activity features.

Main Results:

  • The proposed DDPS method achieved 94.3% accuracy.
  • Demonstrated an efficiency ratio of 98.2% with a 24.6% reduction in delay.
  • Showcased a 28.8% improvement in error range and 31.2% less energy utilization compared to existing methods.

Conclusions:

  • The DDPS system offers a significant advancement in sports training tracking and athlete health analysis.
  • The integration of IoT and DNN provides a robust framework for real-time performance monitoring.
  • This approach enhances data processing efficiency and accuracy for athletes.