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

Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.0K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.0K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

11.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.4K
Chest Physiotherapy01:24

Chest Physiotherapy

1.9K
Chest Physiotherapy (CPT) is a therapeutic technique used in respiratory care to improve ventilation, clear bronchial secretions, and enhance the efficiency of respiratory muscles. This therapy includes three primary procedures: postural drainage, percussion, and vibration. It can be performed on spontaneously breathing patients and those who are intubated and mechanically ventilated.
Purpose
CPT is primarily used for patients with excessive bronchial secretions who have difficulty clearing...
1.9K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

11.1K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.1K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Random Error01:04

Random Error

9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K

You might also read

Related Articles

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

Sort by
Same author

Revue medicale suisse·2026
Same author

Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selection.

Molecular cell·2026
Same author

The UPR drives gametogenesis via an unexpected response, coordinating translation and ER structure.

bioRxiv : the preprint server for biology·2026
Same author

Prefoldin function links meiotic chromosome segregation with cellular remodeling and reveals tubulin sensitivity of the meiotic spindle.

bioRxiv : the preprint server for biology·2026
Same author

DNA-intercalating antiphage molecules trigger abortive infection through mutual destruction and synergize with bacterial immunity.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Reciprocal Relationship Between Cardiovascular Risk and Attainment of Blood Pressure and Cholesterol Targets in Users of a Mobile Health App.

High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension·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: Feb 11, 2026

Automated Detection and Analysis of Exocytosis
13:28

Automated Detection and Analysis of Exocytosis

Published on: September 11, 2021

4.0K

Automated Error Detection in Physiotherapy Training.

Marko Jovanović1, Johannes Seiffarth1, Ekaterina Kutafina1

  • 1Department of Medical Informatics, Uniklinik RWTH Aachen, Aachen, Germany.

Studies in Health Technology and Informatics
|May 5, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a machine-learning system for manual skills training, offering automated feedback on movement performance. The system accurately classifies and scores movements, identifying errors to aid physiotherapy learners.

Keywords:
EducationFeedbackGesturesMachine LearningWearable TechnologymHealth

More Related Videos

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.2K

Related Experiment Videos

Last Updated: Feb 11, 2026

Automated Detection and Analysis of Exocytosis
13:28

Automated Detection and Analysis of Exocytosis

Published on: September 11, 2021

4.0K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.2K

Area of Science:

  • Biomedical Engineering
  • Machine Learning in Education
  • Rehabilitation Technology

Background:

  • Effective manual skills training, like physiotherapy, necessitates timely expert feedback.
  • Current limitations in providing immediate, personalized feedback hinder student learning.
  • Automated feedback systems are crucial for scalable and consistent skill development.

Purpose of the Study:

  • To develop a machine-learning system capable of classifying and scoring movements.
  • To enable automated identification of errors in performed movements.
  • To provide real-time feedback to learners in manual skills training.

Main Methods:

  • Utilized IMU and sEMG sensor data from wearable devices.
  • Developed a Hidden Markov Model (HMM)-based system for gesture classification and scoring.
  • Evaluated the model using public and self-generated datasets of movement patterns.

Main Results:

  • Achieved high accuracy: 90.71% on public data and 98.9% on self-generated data.
  • Demonstrated strong discriminative power with an AUC of 0.99 for movement scoring.
  • The system effectively distinguished correct from incorrect movement executions.

Conclusions:

  • The developed machine-learning system is suitable for scoring manual skills.
  • The system provides valuable feedback for learners in skill-based training.
  • This technology has the potential to enhance physiotherapy education and other manual skill domains.