Leveraging Machine Learning to Effortlessly Track Patient Movement in the Clinic.

NCT04074772 | Completed

• 1 other identifier: 19-1250
• Study Type: observational
• Target: 25
• Locations: 1 country
• Sites: 1

Brief Summary

The objective of this study is the development of a system that will allow for the precise measurement of movement kinematics in a clinical exam setting using natural video from three cameras and machine learning to track points of interest. The investigators aim to implement such system in an unobtrusive and simply-incorporated way into the physical exam to provide exact, objective measures to detect patient movement abnormalities in ways not feasible with current tracking technologies.

Conditions

Movement Disorders

Outcome Measures

Primary Outcomes (1)

• Successful Tracking Achieved in Clinic

  If the neural network can generalize to different patients and contexts with accurate tracking, such that it can track all 12 points of interest with \>99% accuracy in \>95% of frames of novel video data, the investigators will consider this outcome a success.

  On the day of physical exam

Secondary Outcomes (1)

• Identification of Diseases by Movement Tracking

  On the day of physical exam

Study Arms (3)

Healthy Controls

This group will consist of healthy controls between the ages of 18 and 70-years-old. Following consent, they will complete a simplified motor physical exam while being filmed from three angles. This video data will be used to train a neural network to identify points of interest in a generalized patient population.

Movement Disorder Patients

This group will consist of movement disorder clinic patients between the ages of 18 and 70-years-old with a diagnosed or putative movement disorder. Following consent, they will complete a simplified motor physical exam while being filmed from three angles. This video data will be analyzed with the neural network trained on the healthy controls.

Age-Matched Controls

This group will consist of relatives of movement disorder clinic patients that are visiting with them to serve as age-matched controls (within 10 years of patient's age). Following consent, they will complete a simplified motor physical exam while being filmed from three angles. This video data will be analyzed with the neural network trained on the healthy controls.

Eligibility Criteria

• Age: 18 Years - 70 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

* Healthy controls: health volunteers recruited within the Anschutz Medical Campus * Age-Matched controls: spouses and relatives of patients visiting the movement disorders clinic at the University of Colorado Hospital within 10 years of patient's age. * Movement Disorder Patients: patients visiting the movement disorders clinic at the University of Colorado Hospital

You may qualify if:

• Healthy controls: within age range
• Age-Matched controls: within age range
• Movement Disorder Patients: have diagnosed or putative movement disorder

You may not qualify if:

• Healthy controls: have diagnosed or putative movement disorder; outside of age range
• Age-Matched controls: have diagnosed or putative movement disorder; outside of age range
• Movement Disorder Patients: outside of age range

Sponsors & Collaborators

• University of Colorado, Denver: lead

Study Sites (1)

University of Colorado Hospital

Aurora, Colorado, 80045, United States

Location

Related Publications (1)

• Mathis A, Mamidanna P, Cury KM, Abe T, Murthy VN, Mathis MW, Bethge M. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci. 2018 Sep;21(9):1281-1289. doi: 10.1038/s41593-018-0209-y. Epub 2018 Aug 20.

  PMID: 30127430 BACKGROUND

MeSH Terms

Conditions

Movement Disorders

Condition Hierarchy (Ancestors)

Central Nervous System Diseases; Nervous System Diseases

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: OTHER
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: August 27, 2019
• First Posted: August 30, 2019
• Study Start: December 7, 2020
• Primary Completion: October 1, 2021
• Study Completion: October 1, 2021
• Last Updated: January 11, 2022

Record last verified: 2022-01

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)