Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Exercise and Muscle Performance

Exercise and Muscle Performance

Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...

Exercise and Cardiovascular Response

Exercise and Cardiovascular Response

Exercise significantly impacts cardiovascular response, which is crucial for understanding patient health and designing effective treatment plans.
Light to moderate physical activity initiates a series of interconnected responses in the body. The heart rate modestly increases in anticipation of the workout, followed by widespread vasodilation as oxygen consumption by skeletal muscles increases. This results in decreased peripheral resistance, increased capillary blood flow, and accelerated...

Assessment of the Cardiovascular System II: Inspection

Assessment of the Cardiovascular System II: Inspection

Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck

Exercise Stress Test

Exercise Stress Test

Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes

You might also read

Related Articles

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

Sort by

Same author

Pathogenicity of Cadophora luteo-olivacea on Quercus robur and multi-omics characterization of antagonism by Trichoderma atroviride.

Scientific reports·2026

Same author

Cytokinin senescence delay is shaped by receptor specificity and metabolic stability.

Plant physiology·2026

Same author

Automated assessment of Knosp grade from pituitary adenoma MRI: Experimental comparison of a rule-based and a machine learning-based approach.

Brain & spine·2026

Same author

Altered cytokinin signaling drives plant drought resilience through lipid remodeling, nutrient homeostasis, cell wall reinforcement, and modulation of biotic stress-associated pathways.

Plant physiology and biochemistry : PPB·2026

Same author

Research of Fall Detection and Fall Prevention Technologies: A Review.

Sensors (Basel, Switzerland)·2026

Same author

Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches.

Sensors (Basel, Switzerland)·2026

Search research articles

Related Experiment Video

Updated: May 5, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Anthropometry and diagnostic aware deep learning for exercise assessment.

Karla Miriam Reyes Leiva¹, Pavla Nikelova¹, Martin Cerny¹

¹Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, Ostrava, Czech Republic.

Frontiers in Medical Technology

|February 23, 2026

Summary

A new AI framework, ADA (Anthropometry and Diagnostic Aware), accurately classifies squat and Romanian deadlift technique using sensor data and personal information. This enhances movement analysis for injury prevention and personalized training feedback.

Keywords:

anthropometry biomechanics deeplearning exercise assessment personalized AI rehabilitation wearable sensors

More Related Videos

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

Related Experiment Videos

Last Updated: May 5, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

Area of Science:

Biomechanics
Machine Learning
Wearable Technology

Background:

Correct technique in strength exercises like squats and Romanian deadlifts (RDLs) is crucial for both athletic performance and preventing injuries.
Movement quality assessment is essential for effective training and rehabilitation programs.

Purpose of the Study:

To introduce ADA (Anthropometry and Diagnostic Aware), a multimodal deep-learning framework for classifying movement quality and predicting injury risk.
To integrate Inertial Measurement Unit (IMU) kinematics with anthropometric and diagnostic features for enhanced analysis.

Main Methods:

Collected 17-sensor IMU data from 15 healthy subjects performing correct and incorrect squats and RDLs.
Utilized a CNN-LSTM network for kinematic sequences and a fully connected network for static features, fusing them with attention weighting.

Main Results:

The ADA framework achieved 94.8% accuracy in movement quality classification, an improvement from 86.5% using kinematics alone.
Binary risk prediction accuracy reached 97.8%, with personalized fine-tuning further boosting performance by 3-5%.

Conclusions:

Subject-specific static features significantly enhance movement quality classification and risk stratification.
The ADA framework supports the development of wearable-based personalized feedback systems for training and rehabilitation.