Alabama Patent of the Month – September 2024
RippleWorx, Inc., a data-first company, is using time-series data to predict adverse physical effects. One potential application could enable improved athlete performance management by forecasting and preventing non-contact injuries. This breakthrough leverages wearable technology that monitors key biometric data such as heart rate, blood oxygen levels, and distance traveled during training. By integrating this data with subjective inputs from athletes about their physical exertion, the system computes a workload ratio that helps predict when an athlete is at risk of injury.
The system’s standout feature is its ability to intervene before injuries occur. When the workload ratio exceeds a predetermined threshold, the platform issues a warning and automatically adjusts the athlete’s training schedule. It removes or modifies specific sessions to prevent overexertion, all while keeping coaches informed without revealing sensitive biometric details.
This advanced method not only enhances an athlete’s well-being but also streamlines team management by dynamically tailoring training plans. The technology offers a proactive approach to athletic health, reducing downtime and helping athletes maintain peak performance. RippleWorx’s invention could redefine injury prevention in sports, making it a game-changer for athletes and coaches alike.
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