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

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

3.4K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
3.4K

You might also read

Related Articles

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

Sort by
Same author

An Optimization Randomized Clinical Trial to Identify an Effective, Efficient Smoking Cessation Intervention in the Context of Lung Cancer Screening: Cessation and Screening to Save Lives (CASTL).

Chest·2026
Same author

Continuous associations of the brief Wisconsin Inventory of Smoking Dependence Motives with transitions between cigarette and e-cigarette use.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco·2026
Same author

Time-varying mediated effects of the nicotine patch on smoking before and after a quit attempt when it is added to varenicline and counseling.

Drug and alcohol dependence·2026
Same author

Game, Set, and Match: A Scoping Review of Matching Characteristics for Control and Intervention Groups in Adaptive Behavioral Interventions for Physical Activity or Healthy Eating Designs for Populations with Overweight and Obesity.

Behavioral medicine (Washington, D.C.)·2026
Same author

Time-Varying Path-Specific Direct and Indirect Effects: A Novel Approach to Examine Dynamic Behavioral Processes with Application to Smoking Cessation.

Multivariate behavioral research·2026
Same author

An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control.

IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications·2025

Related Experiment Video

Updated: Apr 21, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

19.0K

Continuous-Time System Identification of a Smoking Cessation Intervention.

Kevin P Timms1, Daniel E Rivera2, Linda M Collins3

  • 1Control Systems Engineering Laboratory, Mail Stop 875001, Tempe, AZ 85287-5001 ; Biological Design Program, Arizona State University, Mail Stop 875001, Tempe, AZ 85287-5001.

International Journal of Control
|November 11, 2014
PubMed
Summary
This summary is machine-generated.

System identification models smoking cessation as a behavior change process. Continuous-time dynamic modeling of craving and smoking rates aids in developing improved smoking cessation treatments.

Keywords:
behavioral sciencecontinuous-time identificationself-regulationsmoking cessationstatistical mediation

More Related Videos

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

14.1K
Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

12.3K

Related Experiment Videos

Last Updated: Apr 21, 2026

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

19.0K
Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

14.1K
Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

12.3K

Area of Science:

  • Behavioral Science
  • Public Health
  • Quantitative Psychology

Background:

  • Cigarette smoking is a leading cause of preventable death globally and in the US.
  • Effective smoking cessation treatments are crucial for public health.
  • Understanding the dynamics of behavior change during cessation is key to treatment design.

Purpose of the Study:

  • To apply system identification techniques to smoking cessation intervention data.
  • To model smoking cessation as a dynamic process of behavior change.
  • To inform the design of more effective smoking cessation treatments.

Main Methods:

  • Utilized system identification techniques on clinical trial data.
  • Employed a continuous-time dynamic modeling approach.
  • Modeled the response of craving and smoking rates during a quit attempt.

Main Results:

  • Developed continuous-time models to describe smoking cessation dynamics.
  • Demonstrated the utility of system identification in analyzing intervention data.
  • Highlighted the benefits of continuous-time models for parsimony and interpretability.

Conclusions:

  • Continuous-time dynamic modeling offers a valuable framework for understanding smoking cessation.
  • This approach can enhance the development of targeted and effective cessation interventions.
  • System identification provides a robust method for analyzing complex behavioral data in clinical trials.