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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

268
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
268
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

8.2K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
8.2K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

3.7K
3.7K
Wave Parameters01:10

Wave Parameters

9.4K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.4K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

337
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
337
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.2K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.2K

You might also read

Related Articles

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

Sort by
Same author

Design and Evaluation of Stand-to-Sit and Sit-to-Stand Control Protocols for a HIP-Knee-Ankle-Foot Prosthesis with a Motorized Hip Joint.

Bioengineering (Basel, Switzerland)·2026
Same author

Automated Video Quality Assessment for the Edinburgh Visual Gait Score (EVGS).

Methods and protocols·2025
Same author

Automated Assessment of Upper Extremity Function with the Modified Mallet Score Using Single-Plane Smartphone Videos.

Sensors (Basel, Switzerland)·2025
Same author

Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.

Sensors (Basel, Switzerland)·2025
Same author

Balance confidence classification in people with a lower limb amputation using six minute walk test smartphone sensor signals.

PLOS digital health·2024
Same author

L Test Subtask Segmentation for Lower-Limb Amputees Using a Random Forest Algorithm.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Feb 15, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.4K

Temporal-spatial gait parameter models of very slow walking.

Andrew J J Smith1, Edward D Lemaire2

  • 1Ottawa Hospital Research Institute, 505 Smyth Road, Ottawa, ON, K1H8M2, Canada; University of Ottawa, Department of Human Kinetics, Canada.

Gait & Posture
|January 15, 2018
PubMed
Summary

This study reveals a gait strategy change at slow walking speeds below 0.5 m/s. This finding is crucial for developing lower extremity exoskeleton and powered orthosis controls.

Keywords:
ExoskeletonGaitRegressionSlowSpeedStride parametersWalking

More Related Videos

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

5.1K
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

9.2K

Related Experiment Videos

Last Updated: Feb 15, 2026

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
08:56

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

14.4K
Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds
05:52

Lower-Limb Biomechanical Characteristics Associated with Unplanned Gait Termination Under Different Walking Speeds

Published on: August 25, 2020

5.1K
Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults
09:37

Substantiating Appropriate Motion Capture Techniques for the Assessment of Nordic Walking Gait and Posture in Older Adults

Published on: May 12, 2016

9.2K

Area of Science:

  • Biomechanics
  • Human Gait Analysis
  • Robotics Control

Background:

  • Understanding gait at slow speeds is vital for assistive device control.
  • Current models may not accurately represent gait below 0.4 m/s.

Purpose of the Study:

  • To investigate gait strategy changes at extremely slow walking speeds.
  • To establish stride-parameter models for slow walking relevant to exoskeleton and orthosis control.

Main Methods:

  • Collected full-body motion capture data from 30 healthy adults.
  • Analyzed kinematic data during self-paced treadmill walking (0.2-0.8 m/s).
  • Used linear and quadratic regression to model temporal-spatial stride parameters.

Main Results:

  • Stride-length, step-length, and step-frequency showed linear relationships with walking speed.
  • An inflection point at 0.5 m/s was identified for stride-time, step-time, stance-time, and double support time.
  • Developed predictive equations for stride parameters with R-values > 0.91.

Conclusions:

  • A distinct change in gait strategy occurs at walking speeds around 0.5 m/s.
  • This strategy shift favors increased ground contact time at very slow speeds.
  • Findings provide essential data for advanced lower extremity assistive device control.