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

Abnormal Proliferation

Abnormal Proliferation

Under normal conditions, most adult cells remain in a non-proliferative state unless stimulated by internal or external factors to replace lost cells. Abnormal cell proliferation is a condition in which the cell's growth exceeds and is uncoordinated with normal cells. In such situations, cell division persists in the same excessive manner even after cessation of the stimuli, leading to persistent tumors. The tumor arises from the damaged cells that replicate to pass the damage to the...

Normal Stress

Normal Stress

Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...

Normal Distribution

Normal Distribution

The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...

Respiratory System Abnormal Finding I: Inspection and Percussion

Respiratory System Abnormal Finding I: Inspection and Percussion

Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...

Cardiovascular System Abnormal Findings I: Inspection and Palpation

Cardiovascular System Abnormal Findings I: Inspection and Palpation

In a cardiovascular examination, inspection and palpation are crucial for identifying abnormalities.
Abnormal findings observed during an inspection

Cardiovascular System Abnormal Findings II: Auscultation

Cardiovascular System Abnormal Findings II: Auscultation

Auscultation, an essential part of a heart examination, is done using a stethoscope. It provides crucial information about heart function and possible heart problems. Due to heart problems, abnormal sounds can be heard during systole or diastole. These sounds include S3 and S4 gallops, opening snaps, systolic clicks, and murmurs.
Abnormal Heart Sounds
Gallops:

You might also read

Related Articles

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

Sort by

Same author

Evaluating Different Optimization Criteria for Estimating Spine Loads and Muscle Activity During Manual Lifting With and Without Assistance from Back-Support Exoskeletons.

Annals of biomedical engineering·2026

Same author

Vision-language models for occupational physical exposure assessment: Classification and temporal segmentation of manual material handling tasks.

Applied ergonomics·2026

Same author

Passive back- and arm-support exoskeletons have effects on physical demands and user perceptions in simulated manual mining tasks that are generally beneficial but are both device- and task-specific.

Applied ergonomics·2026

Same author

Evaluating model-estimated shoulder muscle activity during overhead work with varied task demands and exoskeleton use.

Applied ergonomics·2026

Same author

Feasibility of forecasting self-injurious behavior among autistic youth using wearable sensors and machine learning models.

Scientific reports·2026

Same author

Effectiveness and usability of a trunk posture feedback system: A longitudinal field study for up to six weeks in a distribution center.

Applied ergonomics·2026

Search research articles

Related Experiment Video

Updated: Jan 22, 2026

Simulation of the Planetary Interior Differentiation Processes in the Laboratory

Simulation of the Planetary Interior Differentiation Processes in the Laboratory

Published on: November 15, 2013

Using smart garments to differentiate among normal and simulated abnormal gaits.

Mohammad Iman Mokhlespour Esfahani¹, Maury A Nussbaum²

¹Department of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USA.

Journal of Biomechanics

|July 16, 2019

Summary

Smart garments accurately classify gait abnormalities, aiding early diagnosis and rehabilitation. Instrumented socks and shirts achieved over 98% accuracy using K-nearest neighbor models.

Keywords:

Gait classification Simulated abnormal gait Smart shirt Smart socks Smart textile systems

More Related Videos

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

Related Experiment Videos

Last Updated: Jan 22, 2026

Simulation of the Planetary Interior Differentiation Processes in the Laboratory

Simulation of the Planetary Interior Differentiation Processes in the Laboratory

Published on: November 15, 2013

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Evaluation of Patients' Posture and Gait Profile After Lumbar Fusion Surgery by Video Rasterstereography and Treadmill Gait Analysis

Published on: March 23, 2019

Area of Science:

Biomechanics
Wearable technology
Medical diagnostics

Background:

Gait analysis is crucial for medical diagnosis and rehabilitation planning.
Objective and accurate gait classification systems can improve clinical decision-making.
Smart garments offer a promising avenue for physical activity assessment and gait analysis.

Purpose of the Study:

To evaluate the accuracy of a smart garment system for classifying normal and abnormal gaits.
To differentiate between normal gait and four distinct simulated gait abnormalities.
To assess the system's performance using various machine learning models.

Main Methods:

Utilized commercial instrumented socks and a custom instrumented shirt.
Collected gait data from eleven participants over multiple trials.
Employed K-nearest neighbors, linear discriminant analyses, support vector machines, and artificial neural networks for classification.

Main Results:

Achieved high classification accuracy (>98%) with the K-nearest neighbor method.
Demonstrated accurate classification when models were trained and tested individually and collectively.
Observed confusion between gaits with shared kinematic characteristics.

Conclusions:

Smart garments show significant potential for detecting and identifying abnormal gaits.
This technology can support earlier diagnosis and enhance rehabilitation strategies.
Further implementation in clinical settings for diagnosis and rehabilitation is supported by these findings.