Digitalization of Measuring Physical Performance
1 other identifier
observational
10
1 country
1
Brief Summary
Investigators will test the validity and reproducibility of the measurement of motor performance using wearables and the correlation of this measurement with function and mobility.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jul 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 27, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 4, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 11, 2023
CompletedFirst Submitted
Initial submission to the registry
August 19, 2024
CompletedFirst Posted
Study publicly available on registry
August 21, 2024
CompletedAugust 21, 2024
August 1, 2024
8 days
August 19, 2024
August 19, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Digitalized scores of physical performance
A percentage score, which determines how well a participant can do motor tasks for strength, balance, mobility, range of motion and tasks of activities of daily life. Computer software will be used to evaluate the test score of the patient using information from the wearable sensors. The resulting score will be evaluated with the help of a Regression Machine Learning Algorithm. These results will be compared to the assessment and scoring of physical performance by rehabilitation therapists that is based on observation. Higher percentage indicates better performance.
up to 5 weeks
Study Arms (1)
Modified Physical Performance test (MPPT)
Participants will perform MPPT with and without the wearable seonsors.
Interventions
IMU sensors track an object's acceleration and angular velocity over time and do not emit any electromagnetic fields or radiation. They use tiny masses and springs to measure the acceleration, as well as Hall effect materials to measure the magnetic fields. The force sensor changes its electric resistor value based on the force applied to the sensor surface.
Eligibility Criteria
Participants are patients admitted to acute inpatient rehabilitation unit for rehabilitation who are able to stand and walk with or without an assistive device.
You may qualify if:
- Participants can stand with or without an assistive device with or without assistance form another person/s
- Participants can walk with or without an assistive device with or without assistance from another person/s
- Participants are able to memorize easy tasks, and able to follow instructions e.g., standing up or walking until a certain location in the room
You may not qualify if:
- Participants who are not cleared physically or medically to participate in standard acute inpatient rehabilitation therapies by the rehabilitation physician
- Not able to memorize easy tasks, e.g., standing up or walking until a certain location in the room
- One or more leg/feet amputated
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Yale Universitylead
Study Sites (1)
Yale New Haven Hospital Rehabilitation and Wellness center
New Haven, Connecticut, 06520, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Rummana Aslam, MD
Yale University
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 19, 2024
First Posted
August 21, 2024
Study Start
July 27, 2023
Primary Completion
August 4, 2023
Study Completion
August 11, 2023
Last Updated
August 21, 2024
Record last verified: 2024-08