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

Force Classification01:22

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...

You might also read

Related Articles

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

Sort by
Same author

[<sup>18</sup>F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study.

Cancers·2026
Same author

The fellowship of the ring: species-associated effects of fairy ring fungi on soil, microbiota, and vegetation in a managed ornamental grassland.

ISME communications·2026
Same author

Cell-Free DNA (cfDNA), Its Applications in Cancer Diagnosis and Monitoring, and Its Potential Role in Regulating Cancer Metabolism.

Advances in experimental medicine and biology·2026
Same author

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

Species-specific effects of extracellular DNA in Lotus japonicus: local action and drought-related signaling via jasmonate and DREB pathways.

Planta·2026
Same author

Handling missing modalities in multimodal survival prediction for non-small cell lung cancer.

NPJ digital medicine·2026

Related Experiment Video

Updated: Jun 12, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Human movement onset detection from isometric force and torque measurements: a supervised pattern recognition

Paolo Soda1, Stefano Mazzoleni, Giuseppe Cavallo

  • 1Medical Informatics and Computer Science Laboratory, Integrated Research Centre, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, Rome, Italy.

Artificial Intelligence in Medicine
|June 1, 2010
PubMed
Summary

This study introduces an optimized classification system for detecting voluntary movement initiation time. The new technique improves accuracy in rehabilitation assessments compared to existing methods and clinical experts.

More Related Videos

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

Related Experiment Videos

Last Updated: Jun 12, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

Area of Science:

  • Robotics and Mechatronics in Rehabilitation
  • Biomedical Signal Processing
  • Motor Control and Neurorehabilitation

Background:

  • Robotics and mechatronics are increasingly used in functional assessment and motor therapy.
  • Accurate determination of voluntary movement initiation time (onset time) is crucial for understanding neurological recovery.
  • Manual onset time determination is time-consuming and prone to errors.

Purpose of the Study:

  • To introduce a novel technique for optimizing voluntary movement onset time detection.
  • To develop an adaptable classification system for accurate signal analysis in rehabilitation.

Main Methods:

  • A classification system was developed to select the most accurate deterministic method for onset time detection based on raw signal features.
  • The technique optimizes onset detection for individual input signals, addressing limitations of threshold-based methods.

Main Results:

  • The proposed technique was validated on force and torque datasets from 96 patients across eight anatomical districts.
  • Results demonstrated superior performance compared to individual deterministic methods and even clinical experts in onset time detection.

Conclusions:

  • A signal-adaptable classification system for voluntary movement initiation time detection has been developed.
  • The technique, utilizing raw data features, shows promising results and potential for broader applications beyond isometric force and torque analysis.