Utilizing IoMT-Based Smart Gloves for Continuous Vital Sign Monitoring to Safeguard Athlete Health and Optimize...

Area of Science:

• Sports Science
• Biomedical Engineering
• Wearable Technology

Background:

• Intense athletic training poses risks to athlete health.
• Accurate real-time monitoring of physiological and environmental data is crucial for performance optimization and safety.

Purpose of the Study:

• To develop and validate a wearable vital sign monitoring system for professional athletes, particularly runners.
• To enhance athletic performance and mitigate health risks through real-time data analysis and intervention.

Main Methods:

• Development of a wearable glove system to monitor heart rate, blood oxygen saturation (SpO2), body temperature, and gyroscope data.
• Integration of environmental sensors for ambient temperature tracking.
• Implementation of an onboard filtering algorithm, including a Gaussian filter, to ensure data accuracy and minimize false positives.

Main Results:

• The system accurately calculates maximum heart rate based on the "220-age" formula.
• The system demonstrates prompt response to predefined physiological thresholds.
• The Gaussian filter significantly outperforms a moving average filter in reducing noise and improving data reliability.

Conclusions:

• The developed vital sign monitoring system offers a promising tool for optimizing athletic performance and ensuring athlete well-being.
• Real-time monitoring facilitates timely adjustments to training intensity and duration, reducing health risks.
• Advanced filtering algorithms are essential for accurate and reliable data in wearable monitoring systems.