Wearable Pulse Oximeter for Swimming Pool Safety

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Public Health

Background:

• Drowning is a significant public health concern, particularly in swimming pools.
• Existing monitoring systems often lack the ability to reliably detect early drowning signs.
• Wearable technology offers potential for continuous, non-invasive physiological monitoring.

Purpose of the Study:

• To develop an algorithm for a wearable device capable of preventing drowning incidents.
• To enable early detection of pre-drowning symptoms and alert rescue personnel.
• To create a reliable system for monitoring swimmers in real-time.

Main Methods:

• Utilized a wearable device integrating a pulse oximeter and an accelerometer.
• Developed an algorithm analyzing real-time physiological data (heart rate, oxygen saturation) and motion data.
• Implemented a conditional sensing approach: biosensor activation contingent on accelerometer-detected lack of motion.

Main Results:

• The algorithm successfully distinguishes between resting and drowning states by correlating physiological data with motion detection.
• Noise from subject motion was effectively mitigated using accelerometer data, enhancing pulse oximetry reliability.
• The system demonstrated potential for accurate identification of incapacitation indicative of drowning.

Conclusions:

• The developed algorithm provides a foundation for a wearable drowning prevention system.
• Integrating motion and physiological sensors enhances the accuracy of drowning detection.
• This technology could significantly improve swimmer safety and reduce drowning fatalities.