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

Structural Classification of Joints01:20

Structural Classification of Joints

3.7K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.7K
Functional Classification of Joints01:09

Functional Classification of Joints

4.3K
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...
4.3K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.5K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.5K
Classification of Bones01:18

Classification of Bones

5.9K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
5.9K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

1.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
1.7K
Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

515
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
515

You might also read

Related Articles

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

Sort by
Same author

Comparisons of core component delivery in cardiac rehabilitation programs by country income classification and decade based on the 2025 Global Audit Update: A survey study.

PLoS medicine·2026
Same author

Light Intensity-Driven Bidirectional Photoresponse Vision Sensor for Autonomous Obstacle Avoidance System.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Staffing, Accepted Indications and Dose of Phase II Cardiac Rehabilitation: Country Income Class and Time-Based Comparisons from the International Council of Cardiovascular Prevention and Rehabilitation's (ICCPR) 2025 Audit Update.

European journal of preventive cardiology·2026
Same author

Menopause in Brazil: lived experiences, inequities, and opportunities for inclusive care (MARIE-Brazil WP2a).

Women & health·2026
Same author

A perspective on economic barriers and disparities in access to hormone replacement therapy in LMICs (MARIE-WP2b).

Scientific reports·2026
Same author

A Biomimetic Fisheye for High-Accuracy Underwater Recognition Enabled by Oxide Semiconductor Retina.

ACS nano·2026
Same journal

Elastic functional Cox regression model with shape predictors.

Journal of applied statistics·2026
Same journal

An improved two-stage binary relevance method for multilabel classification.

Journal of applied statistics·2026
Same journal

Classification of multivariate functional data with an application to ADHD fMRI data.

Journal of applied statistics·2026
Same journal

Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection.

Journal of applied statistics·2026
Same journal

Sparse long-only Markowitz portfolio optimization.

Journal of applied statistics·2026
Same journal

Homogeneity of multinomial populations when data are classified into a large number of groups.

Journal of applied statistics·2026
See all related articles

Related Experiment Video

Updated: Aug 4, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.0K

Model-based joint curve registration and classification.

Lin Tang1, Pengcheng Zeng2, Jian Qing Shi3,4

  • 1Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, Yunnan, People's Republic of China.

Journal of Applied Statistics
|April 3, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel model for classifying misaligned multivariate functional data by jointly registering and classifying curves. The method effectively handles curve alignment and subject variability for accurate classification in various scientific fields.

Keywords:
Curve registrationcurve classificationfunctional data analysisnonlinear mixed effects modeltime warping

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.2K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

Related Experiment Videos

Last Updated: Aug 4, 2025

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.0K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.2K
Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
09:32

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

9.8K

Area of Science:

  • Statistics
  • Functional Data Analysis
  • Biostatistics

Background:

  • Classification of misaligned multivariate functional data presents significant challenges.
  • Existing methods often struggle with simultaneous alignment and classification.

Purpose of the Study:

  • To propose a model-based approach for joint registration and classification of misaligned multivariate functional data.
  • To develop robust statistical methods applicable to diverse scientific research areas.

Main Methods:

  • A functional nonlinear mixed effects model incorporating warping functions for curve alignment.
  • A functional logistic regression model for classification based on aligned curves.
  • Expectation-Maximization (EM)-based algorithms for maximum likelihood inference.

Main Results:

  • The proposed method effectively performs joint registration and classification of functional data.
  • Identifiability of the registration model and asymptotic properties of the method are established.
  • Demonstrated performance through simulation studies and a hyoid bone movement data analysis.

Conclusions:

  • The developed methodology provides a powerful tool for analyzing complex functional data.
  • The approach is generalizable and applicable to various scientific domains beyond the initial application.