Overuse Injury
Conditions
Keywords
Healthy subjects, Athletes, Baseball, Sports research, overuse injuries
Brief summary
The primary objective of this study is to collect motion-capture data on movements common to baseball play in order to develop an algorithm for a wearable device for the prevention and rehabilitation of sports-related overuse injuries. Secondary objectives include evaluating the feasibility of wearing the throwing device during simulated baseball play.
Detailed description
With the rise in competitive sports participation in pediatric and adolescent populations, there has also been an increase in overuse injuries. Current methods of overuse injury prevention, such as pitch-counting, fail to account for differing techniques or effort and often ignore the elevated risk for children participating in two or more sports emphasizing the same body part. This wearable device seeks to more accurately monitor overuse to prevent and aid rehabilitation of overuse injuries. Subjects will be asked to fill out a short survey about their athletic activities. They will wear a prototype of a minimal risk throwing device during simulated baseball play in a sports medicine session or at the Human Motion Laboratory. Various motion data from the device and from the Motion Lab analysis will be collected to create and refine an algorithm to quantify workload and throwing movements. The primary endpoint of this study is to quantify motion capture data on movements common to baseball play. The secondary endpoints include quantifying injury associated with different baseball movement using the proposed system, development of algorithms to quantify workloads associated with injury during common baseball movements and validation of basic device measurements (Pilot Phase).
Interventions
DEVICEThrowing 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).
Sponsors
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Children's Hospital of Philadelphia
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DEVICE_FEASIBILITY
Masking
NONE
Intervention model description
a wearable prototype device for monitoring upper extremity sports related forces translated to the body during activity. The system will track exposure to injurious forces and monitor adherence to sport specific overuse standards and prescribed rehab regimens.
Eligibility
Sex/Gender
ALL
Age
8 Years to 14 Years
Healthy volunteers
Yes
Inclusion criteria
Pilot Phase: 1. Males or females age 8 to 14 years 2. Presenting to the Children's Hospital of Philadelphia (CHOP) Physical Therapy Clinic for rehabilitation of injury that does not impede their ability to perform basic throwing movements. Phase 1: 1. Males or females age 8 to 14 years 2. Involved in official baseball team and primarily plays as the pitcher
Exclusion criteria
Pilot Phase 1. Injury of any aspect of the throwing arm 2. Unwillingness to perform all requested motions 3. Parents/guardians or subjects who, in the opinion of the Investigator, may be non-compliant with study procedures. Phase 1 1. Injury or disability impeding ability to perform normal baseball-related movements 2. Inability/unwillingness to schedule and/or travel to the Human Motion Laboratory 3. Parents/guardians or subjects who, in the opinion of the Investigator, may be non-compliant with study schedules or procedures.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of the Pitching Detection Algorithm | 12 months | 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. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Throwing Device Phase 1 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 | 10 |
| Total | 10 |
Baseline characteristics
| Characteristic | Throwing Device Phase 1 |
|---|---|
| Age, Categorical <=18 years | 10 Participants |
| Age, Categorical >=65 years | 0 Participants |
| Age, Categorical Between 18 and 65 years | 0 Participants |
| Age, Continuous | 11.3 years STANDARD_DEVIATION 1.1 |
| Race/Ethnicity, Customized Race - White | 10 Participants |
| Region of Enrollment United States | 10 Participants |
| Sex: Female, Male Female | 0 Participants |
| Sex: Female, Male Male | 10 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 10 |
| other Total, other adverse events | 0 / 10 |
| serious Total, serious adverse events | 0 / 10 |
Outcome results
Primary
Accuracy of the Pitching Detection Algorithm
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.
Time frame: 12 months
Population: Our criteria for success was the accuracy of pitching event detection, which was 98.6%
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Throwing Device Phase 1 | Accuracy of the Pitching Detection Algorithm | 98.6 percentage |