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Real-Life Application of a Wearable Device towards Injury Prevention in Tennis: A Single-Case Study
Iztok Kramberger1, Aleš Filipčič2, Aleš Germič2
1Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 046, 2000 Maribor, Slovenia.
Sensors (Basel, Switzerland)
|June 24, 2022
Summary
This study demonstrates how the Armbeep wearable sensor can monitor tennis players' training load and recovery in real-world conditions. Objective data helps optimize training, enhance performance, and prevent injuries for athletes.
Area of Science:
- Sports Science
- Biotechnology
- Wearable Technology
Background:
- Monitoring athlete workload and recovery is crucial for optimizing performance and preventing injuries.
- Traditional methods for assessing training load in tennis are often subjective and intuitive.
- Wearable sensor technology offers a potential solution for objective workload and recovery monitoring.
Purpose of the Study:
- To present the real-life application of the validated Armbeep wearable sensor device.
- To enhance tennis player training through monitoring physiological, movement, and tennis-specific workload and recovery indicators.
- To provide objective data for adjusting training loads and reducing injury risk.
Main Methods:
- Utilized the Armbeep wearable sensor, a wrist-worn device for movement and biometric data acquisition.
- Performed basic signal processing on the device and complex analysis in the cloud.
- Applied previously validated inertial measurements and pulse-rate detection for workload and recovery monitoring.
Main Results:
- Demonstrated the feasibility of monitoring daily workload and recovery in tennis players under real conditions.
- Showcased the Armbeep device's acceptability for monitoring workload and recovery during tennis practice and matches.
- Provided a practical example of using technology for athlete monitoring and injury rehabilitation.
Conclusions:
- Objective workload and recovery data from wearable sensors can optimize training effectiveness and individualize athlete approaches.
- This technology facilitates the return of injured athletes to training and competition by providing quantifiable progress.
- Empowers coaches and players with objective data to move beyond intuitive workload assessments, reducing overuse and injury potential.

