Clinical trial NCT04624594: AI Mobile Application Versus HCP for Bodyweight Squats
Official title: Artificial Intelligence (AI) Mobile Application Versus Health Care Provider (HCP) for Bodyweight Squats: A Randomized, Blinded, Controlled Clinical Trial
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Squat Form
Keywords: Exercise
Squat
Physical therapist
Artificial Intelligence (AI)
Lead sponsor: Columbia University
Sponsor class: OTHER
Collaborators: name: National Medical Fellowships
First posted: 2020-11-12
Enrollment: 30
Sex: ALL
Minimum age (years): 20
Maximum age (years): 35
Standard ages: ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: OTHER

Brief summary: To assess if an artificial intelligence (AI) mobile application can identify and improve bodyweight squat form in adult participants when compared to a Physical Therapist (PT).

Detailed description: Artificial intelligence (AI) is changing the way people can address their health needs. One such way related to physical exercise is AI-enabled exercise mobile application (digital coach), which uses motion tracking technology to monitor and provide real-time audio feedback on a person's exercise form. However, this AI technology has yet to be independently tested against an in-person evaluator (human coach) for its ability to improve exercise form. This study is a blinded randomized controlled trial comparing the ability of the digital coach (n=15) and a Physical Therapist (PT) human coach (n=15) to improve bodyweight squat form in 30 able-bodied volunteers age 20 - 35. Each volunteer performs 10 unassisted control squats, then 10 squats with assistive vocal feedback from either coach after each repetition, and finally 10 more unassisted test squats, all squats video-recorded. Three independent video evaluators count the number of correct squat repetitions completed by volunteers before and after intervention by the different coaches. This project is important to validate the digital coach compared to a PT human coach in a small population using a bodyweight squat for its wide applicability to daily movement patterns.

Eligibility criteria: Inclusion Criteria:

* Columbia University affiliate
* Aged 20 to 35 years
* Able to perform moderate bodyweight exercise for 10 minutes

Exclusion Criteria:

* Unable to provide consent

Primary outcomes:
measure: Number of correct squats
timeFrame: Up to 15 minutes or completion of third set of squats
Secondary outcomes:
measure: Number of squats that are identified correctly by AI
timeFrame: Up to 15 minutes or completion of third set of squats
Other outcomes:
Locations:
city: New York
country: United States
facility: Columbia University Medical Center
state: New York
Study officials:
affiliation: Columbia University
name: Sunil K. Agrawal, PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Luna A, Casertano L, Timmerberg J, O'Neil M, Machowsky J, Leu CS, Lin J, Fang Z, Douglas W, Agrawal S. Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial. Sci Rep. 2021 Sep 13;11(1):18109. doi: 10.1038/s41598-021-97343-y.