Lower Extremity Injuries
Conditions
Keywords
prediction, ankle injury, knee injury, inertial sensor, artificial intelligence
Brief summary
This study analyses questionnaires and inertial sensor data from 108 sports science students regarding previous lower extremity injuries, sports activity, and preventive measures, combined with the prospective development of an AI-based prediction algorithm. Inertial sensor data were collected during walking and running on a standard 400 m track, with sensors placed on the thighs and ankles, and heart rate recorded via smartwatch. Participants also completed questionnaires on previous injuries, comorbidities, sports activity, and prevention. The aim is to use the anonymized data to identify gait and running patterns associated with prior knee and ankle injuries using AI analysis, and to correlate these findings with sports activity and preventive measures. Hypothesis: Prior lower extremity injuries leave specific gait and running patterns detectable by inertial sensors and AI-based analysis.
Detailed description
In this study, analysis of questionnaires and inertial sensor data from 108 sports science students is conducted with regard to previous injuries of the lower extremities, their sports activities, and a possible association with performed preventive measures, along with the prospective development of an AI-based prediction algorithm to detect prior injuries of the lower extremities. In all participants, inertial sensor data were collected during walking and running on a defined track (5 minutes walking, 5 minutes running, 5 minutes walking on a standard 400 m oval tartan track). Sensors were placed on the lateral aspects of both thighs above the knee joint and on the lateral aspects of both ankles above the lateral malleolus. In addition, participants wore a smartwatch on the left wrist to record heart rate. Furthermore, participants completed questionnaires regarding previous injuries, comorbidities, sports activity, and preventive measures undertaken. The aim of the current analysis is to utilize the anonymized data from questionnaires and inertial sensors to identify gait and running patterns indicative of previous injuries of the lower extremities (knee and ankle) by means of an AI algorithm, and to correlate these findings with reported sports activities and preventive measures. Hypothesis: Previous injuries of the lower extremities (particularly of the knee and ankle) result in specific gait and running patterns measurable by inertial sensors, which can be identified through AI-based analysis.
Interventions
OTHERIMU Data collection
Participants were walking and running while wearing inertial measurement units (IMU) on both legs. The IMUs (MetaMotionS sensor by Mbientlab) where recording at 100Hz (accelerometer and gyroscope) and 25Hz (magnetometer).
OTHERQuestionnaire
On the day of the examination, the test subjects completed a standardized questionnaire on previous injuries, type of sport, sporting activity, and preventive measures.
Sponsors
Technical University of Munich
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
Yes
Inclusion criteria
* Subjectively healthy participants * Age: \>18 years and under 60 years * German language skills sufficient to follow the exercise instructions and complete the questionnaires
Exclusion criteria
* Age \<18 years or \>60 years * Recent injuries and trauma to the lower extremities (less than 6 months ago) * Acute malignant disease * Acute inflammatory disease * Lack of German language skills * Lack of cardiopulmonary endurance for testing
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| IMU data | at baseline | Time-stamped, unfiltered, device-coordinate-based 3-axis IMU data (Ax, Ay, Az) from four IMUs, placed laterally on both thighs (above the knee joint) and on both ankles (above the lateral malleolus). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| questionnaire injuries lower extremity | Baseline | Participants reported previous injuries and illnesses affecting the lower extremities on a standardized questionnaire. |
| questionnaire sports activity | Baseline | Participants indicated their sport and intensity level on a standardized questionnaire. |
| questionnaire prevention | baseline | Participants indicated on a standardized questionnaire whether preventive measures to avoid sports injuries were being implemented. |
Countries
Germany
Outcome results
None listed