Jove
Visualize
Contact Us

Related Concept Videos

Network Function of a Circuit01:25

Network Function of a Circuit

884
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
884
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

318
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
318
Nuclear Fusion02:45

Nuclear Fusion

33.9K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.9K
Altered States of Awareness01:06

Altered States of Awareness

1.2K
Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
1.2K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

725
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
725
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Efficacy and Safety of Transcutaneous Acupoint Electrical Stimulation in the Treatment of Cervical Spondylosis: A Multicenter Randomized Open-Labeled Controlled Clinical Study.

Pain research & management·2026
Same author

Decade-long insights into AI for orthopedic rehabilitation mapping research networks and future trajectories.

Digital health·2025
Same author

Transparent artificial intelligence-enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios.

Nature communications·2025
Same author

An Animal Model of Liuzijue Based on Kinematic Features Exploration: A Pilot Study Conducting in COPD.

Immunity, inflammation and disease·2025
Same author

A Deep Learning-Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients.

Journal of cardiovascular electrophysiology·2025
Same author

Cortical functional connectivity and topology based on complex network graph theory analysis during acute pain stimuli.

Neurophotonics·2025
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 Experiment Video

Updated: Feb 14, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.7K

Action-Aware Multimodal Wavelet Fusion Network for Quantitative Elbow Motor Function Assessment Using sEMG and

Zilong Song1, Pei Zhu2, Cuiwei Yang1

  • 1Department of Biomedical Engineering, College of Biomedical Engineering, Fudan University, Shanghai 200433, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary

This study introduces a new AI network (AMWFNet) for objective upper-limb motor assessment after stroke, using muscle signals and robot data. It accurately quantifies Fugl-Meyer Assessment scores, improving rehabilitation.

Keywords:
continuous wavelet transformmultimodal fusionquantitative assessmentrobotic-assisted rehabilitationsEMG

More Related Videos

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.0K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.2K

Related Experiment Videos

Last Updated: Feb 14, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.7K
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms

Published on: August 15, 2016

16.0K
Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.2K

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Artificial Intelligence in Medicine

Background:

  • Accurate upper-limb motor assessment is crucial for stroke rehabilitation.
  • Current clinical scales for Fugl-Meyer Assessment (FMA-UE) are subjective.
  • Objective quantification methods are needed to improve rehabilitation outcomes.

Purpose of the Study:

  • To develop an automated system for objective upper-limb motor assessment aligned with the FMA-UE.
  • To integrate surface electromyography (sEMG) and robotic kinematics data for enhanced assessment.
  • To create a computationally efficient model for real-time rehabilitation applications.

Main Methods:

  • Proposed the Action-Aware Multimodal Wavelet Fusion Network (AMWFNet).
  • Utilized Continuous Wavelet Transform (CWT) for signal processing.
  • Implemented a modality gating mechanism and action embeddings for feature fusion.
  • Validated the model on 40 participants (20 post-stroke, 20 healthy) across 18 reaching tasks.

Main Results:

  • AMWFNet achieved 94.68% accuracy in six-class classification, outperforming baseline models (Random Forest, SVM, 1D-CNN) by over 9%.
  • The model demonstrated superior performance compared to existing methods.
  • The lightweight architecture allows for real-time integration into rehabilitation robots.

Conclusions:

  • AMWFNet offers an objective and efficient solution for upper-limb motor assessment in stroke rehabilitation.
  • The multimodal approach enhances quantification accuracy and provides actionable insights.
  • Real-time capabilities facilitate seamless integration of assessment and training in robotic systems.