Trial Outcomes & Findings for Throwing Device Tracker for Youth Injury Prevention (NCT NCT04098107)
NCT ID: NCT04098107
Last Updated: 2024-06-25
Results Overview
The number of pitches thrown were tracked and counted visually during data collection. The actual pitch count was then compared to the pitch count logged by the device algorithm to determine the accuracy of the algorithm in detecting pitching events.
COMPLETED
NA
10 participants
12 months
2024-06-25
Participant Flow
Participant milestones
| Measure |
Throwing Device Phase 1
10 patients were recruited
|
|---|---|
|
Overall Study
STARTED
|
10
|
|
Overall Study
COMPLETED
|
10
|
|
Overall Study
NOT COMPLETED
|
0
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Throwing Device Tracker for Youth Injury Prevention
Baseline characteristics by cohort
| Measure |
Throwing Device Phase 1
n=10 Participants
Subjects were asked to wear the prototype device during a simulated baseball game (approximately 30-45 pitches), and then perform a set of other baseball-specific movements while fitted with infrared markers for throwing analysis. This information to help us develop a small wearable device that collects and tracks information (such as force) about throwing movements during youth athletic activity to identify and track arm fatigue
|
|---|---|
|
Age, Categorical
<=18 years
|
10 Participants
n=5 Participants
|
|
Age, Categorical
Between 18 and 65 years
|
0 Participants
n=5 Participants
|
|
Age, Categorical
>=65 years
|
0 Participants
n=5 Participants
|
|
Age, Continuous
|
11.3 years
STANDARD_DEVIATION 1.1 • n=5 Participants
|
|
Sex: Female, Male
Female
|
0 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
10 Participants
n=5 Participants
|
|
Race/Ethnicity, Customized
Race - White
|
10 Participants
n=5 Participants
|
|
Region of Enrollment
United States
|
10 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: 12 monthsPopulation: Our criteria for success was the accuracy of pitching event detection, which was 98.6%
The number of pitches thrown were tracked and counted visually during data collection. The actual pitch count was then compared to the pitch count logged by the device algorithm to determine the accuracy of the algorithm in detecting pitching events.
Outcome measures
| Measure |
Throwing Device Phase 1
n=10 Participants
During Phase 1, subjects that have been recruited, consented, and enrolled will come to the biomechanics laboratory for throwing performance housed at the University of Pennsylvania (Human Motion Laboratory) on the day of their appointment. Subjects will be asked to wear the prototype device during a simulated baseball game (approximately 30-45 pitches), and then will perform a set of other baseball-specific movements while fitted with infrared markers for throwing analysis. This data will be used to develop and refine the algorithm for the prototype.
Throwing Device: The Innovative Design Labs ( IDL) PhySens will be used to monitor the physical motions of subjects during standard sports-related actions (e.g. throwing a baseball). For this test, the PhySens Carrier will be attached via clothing rivets to a fabric sleeve or strap made of compliant materials commonly used in clothing and wearable products (e.g. nylon, spandex, neoprene).
|
|---|---|
|
Accuracy of the Pitching Detection Algorithm
|
98.6 percentage
|
Adverse Events
Throwing Device Phase 1
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place
Restriction type: GT60